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108 Reporting Engineer jobs in Pakistan

Data Engineer

Lahore, Punjab Dubizzle Labs

Posted 3 days ago

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Job Description

You will be participating in exciting projects covering the end-to-end data lifecycle – from raw data integrations with primary and third-party systems, through advanced data modeling, to state-of-the-art data visualization and development of innovative data products.

You will have the opportunity to learn how to build and work with both batch and real-time data processing pipelines. You will work in a modern cloud-based data warehousing environment alongside a team of diverse, intense, and interesting co-workers. You will liaise with other departments – such as product & tech, the core business verticals, trust & safety, finance, and others – to enable them to be successful.

Your responsibilities

Design, implement and support data warehousing;
Raw data integrations with primary and third-party systems
Data warehouse modeling for operational & application data layers
Development in Amazon Redshift cluster
SQL development as part of agile team workflow
ETL design and implementation in Matillion ETL
Real-time data pipelines and applications using serverless and managed AWS services such as Lambda, Kinesis, API Gateway, etc.
Design and implementation of data products enabling data-driven features or business solutions
Building data dashboards and advanced visualizations in Sisense for data cloud teams (formerly Periscope Data) with a focus on UX, simplicity, and usability
Working with other departments on data products – i.e. product & technology, marketing & growth, finance, core business, advertising, and others
Being part and contributing towards a strong team culture and ambition to be on the cutting edge of big data
Evaluate and improve data quality by implementing test cases, alerts, and data quality safeguards
Living the team values: Simpler. Better. Faster.
Strong desire to learn

Required minimum experience (must)

1- 2 years experience in data processing, analysis, and problem-solving with large amounts of data;
Good SQL skills across a variety of relational data warehousing technologies especially in cloud data warehousing (e.g. Amazon Redshift, Google BigQuery, Snowflake, Vertica, etc.)
1+ years of experience with one or more programming languages, especially Python
Ability to communicate insights and findings to a non-technical audience
Written and verbal proficiency in English
Entrepreneurial spirit and ability to think creatively; highly-driven and self-motivated; strong curiosity and strive for continuous learning
Top of class University technical degree such as computer science, engineering, math, physics.

Additional experience (strong plus)

Experience working with customer-centric data at big data-scale, preferably in an online / e-commerce context
Experience with modern big data ETL tools (e.g. Matillion)
Experience with AWS data ecosystem (or other cloud providers)
Track record in business intelligence solutions, building and scaling data warehouses, and data modeling
Tagging, Tracking, and reporting with Google Analytics 360
Knowledge of modern real-time data pipelines (e.g. serverless framework, lambda, kinesis, etc.)
Experience with modern data visualization platforms such as Periscope, Looker, Tableau, Google Data Studio, etc.
Linux, bash scripting, Javascript, HTML, XML
Docker Containers and Kubernete

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Data Engineer

Sindh, Sindh NorthBay - Pakistan

Posted 3 days ago

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Job Description

Job Title: Data Engineer

Job Title: Data Engineer

Location: Karachi, Lahore , Islamabad (Hybrid)

Experience: 5+ Years

Job Type: Full-Time

Job Overview

We are looking for a highly skilled and experienced Data Engineer with a strong foundation in Big Data, distributed computing, and cloud-based data solutions . This role demands a strong understanding of end-to-end Data pipelines, data modeling, and advanced data engineering practices across diverse data sources and environments. You will play a pivotal role in building, deploying, and optimizing data infrastructure and pipelines in a scalable cloud-based architecture.

Key Responsibilities

Design, develop, and maintain large-scale Data pipelines using modern big data technologies and cloud-native tools.
Build scalable and efficient distributed data processing systems using Hadoop, Spark, Hive, and Kafka.
Work extensively with cloud platforms (preferably AWS) and services like EMR, Glue, Lambda, Athena, S3.
Design and implement data integration solutions pulling from multiple sources into a centralized data warehouse or data lake.
Develop pipelines using DBT (Data Build Tool) and manage workflows with Apache Airflow or Step Functions.
Write clean, maintainable, and efficient code using Python, PySpark, or Scala for data transformation and processing.
Build and manage relational and columnar data stores such as PostgreSQL, MySQL, Redshift, Snowflake, HBase, ClickHouse.
Implement CI/CD pipelines using Docker, Jenkins, and other DevOps tools.
Collaborate with data scientists, analysts, and other engineering teams to deploy data models into production.
Drive data quality, integrity, and consistency across systems.
Participate in Agile/Scrum ceremonies and utilize JIRA for task management.
Provide mentorship and technical guidance to junior team members.
Contribute to continuous improvement by making recommendations to enhance data engineering processes and architecture.

Required Skills & Experience

5+ years of hands-on experience as a Data Engineer
Deep knowledge of Big Data technologies – Hadoop, Spark, Hive, Kafka.
Expertise in Python, PySpark and/or Scala.
Proficient with data modeling, SQL scripting, and working with large-scale datasets.
Experience with distributed storage like HDFS and cloud storage (e.g., AWS S3).
Hands-on with data orchestration tools like Apache Airflow or StepFunction.
Experience working in AWS environments with services such as EMR, Glue, Lambda, Athena.
Familiarity with data warehousing concepts and experience with tools like Redshift, Snowflake (preferred).
Exposure to tools like Informatica, AbInitio, Apache Iceberg is a plus.
Knowledge of Docker, Jenkins, and other CI/CD tools.
Strong problem-solving skills, initiative, and a continuous learning mindset.

Preferred Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
Experience with open table formats such as Apache Iceberg.
Hands-on with AbInitio (GDE, Collect > IT) or Informatica tools.
Knowledge of Agile methodology, working experience in JIRA.

Soft Skills

Self-driven, proactive, and a strong team player.
Excellent communication and interpersonal skills.
Passion for data and technology innovation.
Ability to work independently and manage multiple priorities in a fast-paced environment.

Seniority level

Seniority level Mid-Senior level

Employment type

Employment type Full-time

Job function

Job function Information Technology
Industries IT Services and IT Consulting

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Software Engineering & Development Intern Intermediate Full-Stack Software Developer

Karachi Division, Sindh, Pakistan 5 months ago

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Karachi Division, Sindh, Pakistan 1 day ago

Karachi Division, Sindh, Pakistan 4 months ago

Karachi Division, Sindh, Pakistan 3 months ago

Karachi Division, Sindh, Pakistan 1 day ago

Karachi East District, Sindh, Pakistan 5 months ago

Backend .Net Core Developer (Wallet - Fintech)

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Data Engineer

Lahore, Punjab ACE Money Transfer

Posted 13 days ago

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Job Description

Job Title: Data Engineer

Location: Lahore / Kharian

Position Type: Full-Time

Job Overview:

This role focuses on developing and implementing data warehouse solutions across the organization while managing large sets of structured and unstructured data. The Data Engineer will analyse complex customer requirements, define data transformation rules, and oversee their implementation. The ideal candidate should have a solid understanding of data acquisition, integration, and transformation, with the ability to evaluate and recommend optimal architecture and approaches.

Key Responsibilities:

•Design Data Pipelines : Develop robust data pipelines capable of handling both structured and unstructured data effectively.

•Build Data Ingestion and ETL Processes : Create efficient data ingestion pipelines and ETL processes, including low-latency data acquisition and stream processing using tools like Kafka or Glue.

•Develop Integration Procedures : Design and implement processes to integrate data warehouse solutions into operational IT environments.

•Data Lake Management: Manage and optimize the data lake on AWS, ensuring efficient data storage, retrieval, and transformation. Implement best practices for organizing and managing raw, processed, and curated data, with scalability and future growth in mind.

•Optimize SQL and Shell Scripts: Write, optimize, and maintain complex SQL queries and shell scripts to ensure efficient data processing.

•Monitor and Optimize Performance: Continuously monitor system performance and recommend necessary configurations or infrastructure improvements.

•Document and Present Workflows : Prepare detailed documentation, collaborate with cross functional teams, present complete data workflows to teams, and maintain an up-to-date knowledge base.

•Governance & Quality : Develop and maintain data quality checks to ensure data in the lake and warehouse remains accurate, consistent, and reliable.

•Collaboration with Stakeholders : Work closely with CTO, PMOs, business and data analysts to gather requirements and ensure alignment with project goals.

•Scope and Manage Projects : Collaborate with project managers to scope projects, create detailed work breakdown structures, and conduct risk assessments.

•Research & Development (R&D) : Keep up with the latest technological trends and identify innovative solutions to address customer challenges and company priorities.

Skills and Qualifications:

•Bachelor’s or Master’s degree in Engineering, Computer Science, or equivalent experience.

•At least 4+ years of relevant experience as a Data Engineer.

•Hands-on experience with cloud platforms such as AWS, Azure, or GCP, and familiarity with respective cloud services.

•Hands-on experience with one or more ETL tools such as Glue, Spark, Kafka, Informatica, DataStage, Talend, Azure Data Factory (ADF).

•Strong understanding of dimensional modeling techniques, including Star and Snowflake schemas.

•Experience in creating semantic models and reporting mapping documents.

•Solid concepts and experience in designing and developing ETL architectures.

•Strong understanding of RDBMS concepts and proficiency in SQL development.

•Proficiency in data modeling and mapping techniques.

•Experience integrating data from multiple sources.

•Experience working in distributed environments, including clustering and sharding.

•Knowledge of Big Data tools like Pig, Hive or NiFi would be a plus.

•Experience with Hadoop distributions like Cloudera or Hortonworks would be a plus.

•Excellent communication and presentation skills, both verbal and written.

•Ability to solve problems using a creative and logical approach.

•Self-motivated, analytical, detail-oriented, and organized, with a commitment to excellence.

•Experience in the financial services sector is a plus.

ACE Money Transfer Profile:
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Data Engineer

Lahore, Punjab Burq, Inc.

Posted 13 days ago

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Job Description

About Burq

Burq started with an ambitious mission: how can we turn the complex process of offering delivery into a simple turnkey solution.

We started with building the largest network of delivery networks, partnering with some of the biggest delivery companies. We then made it extremely easy for businesses to plug into our network and start offering delivery to their customers. Now, we’re powering deliveries for some of the fastest-growing companies from retailers to startups.

It’s a big mission and now we want you to join us to make it even bigger!

We’re already backed by some of the Valley's leading venture capitalists, including Village Global, the fund whose investors include Bill Gates, Jeff Bezos, Mark Zuckerberg, Reid Hoffman, and Sara Blakely. We have assembled a world-class team all over the U.S.

We operate at scale, but we're still a small team relative to the opportunity. We have a staggering amount of work ahead. That means you have an unprecedented opportunity to grow while doing the most important work of your career.

We want people who are unafraid to be wrong and support decisions with numbers and narrative.

Responsibilities

Design, build, and maintain efficient and scalable data pipelines using tools like Airbyte, Airflow, and dbt, with a focus on integrating with Snowflake.
Manage and optimize data warehousing solutions using Snowflake, ensuring data is organized, secure, and accessible for analysis.
Develop and implement automations and workflows to streamline data processing and integration, ensuring seamless data flow across systems.
Collaborate with cross-functional teams to set up and maintain data infrastructure that supports both engineering and analytical needs.
Utilize Databricks and Spark for big data processing, ensuring data is processed, stored, and analyzed efficiently.
Monitor data streams and processes using Kafka and Monte Cristo, ensuring data quality and integrity.
Work closely with data analysts and other stakeholders to create, maintain, and optimize visualizations and reports using Tableau, ensuring data-driven decision-making.
Ensure the security and compliance of data systems, implementing best practices and leveraging tools like Terraform for infrastructure management.
Continuously evaluate and improve data processes, staying current with industry best practices and emerging technologies, with a strong emphasis on data analytics and visualization.

Requirements

Proficiency in SQL and experience with data visualization tools such as Tableau.
Hands-on experience with data engineering tools and platforms including Snowflake, Airbyte, Airflow, and Terraform.
Strong programming skills in Python and experience with data transformation tools like dbt.
Familiarity with big data processing frameworks such as Databricks and Apache Spark.
Knowledge of data streaming platforms like Kafka.
Experience with data observability and quality tools like Monte Cristo.
Solid understanding of data warehousing, data pipelines, and database management, with specific experience in Snowflake.
Ability to design and implement automation, workflows, and data infrastructure.
Strong analytical skills with the ability to translate complex data into actionable insights, particularly using Tableau.
Excellent problem-solving abilities and attention to detail.

Benefits

Investing in you

Competitive salary
Medical
Educational courses

Generous Time Off

At Burq, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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Data Engineer

Islamabad, Islamabad NorthBay Solutions

Posted 13 days ago

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Job Description

Job Title: Data Engineer

Location: Karachi, Lahore , Islamabad (Hybrid)
Experience: 5+ Years
Job Type: Full-Time

Job Overview:

We are looking for a highly skilled and experienced Data Engineer with a strong foundation in Big Data, distributed computing, and cloud-based data solutions . This role demands a strong understanding of end-to-end Data pipelines, data modeling, and advanced data engineering practices across diverse data sources and environments. You will play a pivotal role in building, deploying, and optimizing data infrastructure and pipelines in a scalable cloud-based architecture.

Key Responsibilities:

Design, develop, and maintain large-scale Data pipelines using modern big data technologies and cloud-native tools.
Build scalable and efficient distributed data processing systems using Hadoop, Spark, Hive, and Kafka .
Work extensively with cloud platforms (preferably AWS) and services like EMR, Glue, Lambda, Athena, S3 .
Design and implement data integration solutions pulling from multiple sources into a centralized data warehouse or data lake.
Develop pipelines using DBT (Data Build Tool) and manage workflows with Apache Airflow or Step Functions .
Write clean, maintainable, and efficient code using Python, PySpark, or Scala for data transformation and processing.
Build and manage relational and columnar data stores such as PostgreSQL, MySQL, Redshift, Snowflake, HBase, ClickHouse .
Implement CI/CD pipelines using Docker, Jenkins , and other DevOps tools.
Collaborate with data scientists, analysts, and other engineering teams to deploy data models into production.
Drive data quality , integrity, and consistency across systems.
Participate in Agile/Scrum ceremonies and utilize JIRA for task management.
Provide mentorship and technical guidance to junior team members.
Contribute to continuous improvement by making recommendations to enhance data engineering processes and architecture.

Required Skills & Experience:

5+ years of hands-on experience as a Data Engineer
Deep knowledge of Big Data technologies – Hadoop, Spark, Hive, Kafka.
Expertise in Python, PySpark and/or Scala .
Proficient with data modeling , SQL scripting , and working with large-scale datasets .
Experience with distributed storage like HDFS and cloud storage (e.g., AWS S3).
Hands-on with data orchestration tools like Apache Airflow or StepFunction.
Experience working in AWS environments with services such as EMR, Glue, Lambda, Athena.
Familiarity with data warehousing concepts and experience with tools like Redshift, Snowflake (preferred).
Exposure to tools like Informatica , AbInitio , Apache Iceberg is a plus.
Knowledge of Docker , Jenkins , and other CI/CD tools.
Strong problem-solving skills, initiative, and a continuous learning mindset.

Preferred Qualifications:

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
Experience with open table formats such as Apache Iceberg.
Hands-on with AbInitio (GDE, Collect > IT) or Informatica tools.
Knowledge of Agile methodology , working experience in JIRA .

Soft Skills:

Self-driven, proactive, and a strong team player.
Excellent communication and interpersonal skills.
Passion for data and technology innovation.
Ability to work independently and manage multiple priorities in a fast-paced environment.

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Data Engineer

Lahore, Punjab Ili.Digital Ag

Posted 13 days ago

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Job Description

Data Engineer with 2+ years experience in AI, Python, SQL, Spark, Azure, Databricks. Skilled in scalable data infrastructure & pipeline design. English required.

Bachelor’s degree in computer science, Engineering, or a related field.
Minimum of 2 years of experience in data engineering, specifically in large-scale AI projects and production applications.
Strong proficiency in Python, SQL, Spark, Cloud Architect, Data & Solution Architect, API, Databricks, and Azure.
Deep understanding of designing and building scalable and robust data infrastructure.
Experience with at least one public cloud provider.
Strong understanding of system architecture and data pipeline construction.
Familiarity with machine learning models and data processing requirements.
Team player with analytical and problem-solving skills.
Good communication skills in English.
Optional:
Expertise in distributed systems like Kafka and orchestration systems like Kubernetes.
Basic knowledge in Data Lake/Data Warehousing/Big Data tools, Apache Spark, RDBMS, NoSQL, Knowledge Graph.

Requirements

Design, build, and manage data pipelines, integrating multiple data sources to support company goals.
Develop and maintain large-scale data processing systems and machine learning pipelines, ensuring data availability and quality.
Implement systems for data quality and consistency, collaborating with Data Science and IT teams.
Ensure compliance with security guidelines and SDLC processes.
Collaborate with Data Science team to provide necessary data infrastructure.
Lead and manage large-scale AI projects, working with cloud platforms for deployment.
Maintain and optimize databases, design schemas, and improve data flow across the organization.

About ILI Digital

“To be ILI” means traveling far to reinvigorate innovation. It symbolizes vocation, commitment, and passion. We are a dedicated taskforce focused on sensing and initiating innovation.

Like a lion in the wild, constantly hunting and alert, we stay focused and agile, unlike a lion in captivity which loses its hunting instinct due to guaranteed food supply.

We offer a steep learning curve, development opportunities, and a flexible, positive work environment.

Modern office with design furniture, rooftop terrace with city view.

International Team

Supportive, open-minded teammates. Enjoy after-work events, barbecues, excursions, and team gatherings.

Fresh fruits, professional coffee, smoothies, on-site gym, and yoga room for relaxation.

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Data Engineer

Punjab, Punjab ACE Money Transfer

Posted 13 days ago

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Job Description

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Data Engineer

Lahore, Punjab NorthBay Solutions

Posted 13 days ago

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Job Description

Job Title: Data Engineer

Location: Karachi, Lahore , Islamabad (Hybrid)
Experience: 5+ Years
Job Type: Full-Time

Job Overview:

Key Responsibilities:

Design, develop, and maintain large-scale Data pipelines using modern big data technologies and cloud-native tools.
Build scalable and efficient distributed data processing systems using Hadoop, Spark, Hive, and Kafka .
Work extensively with cloud platforms (preferably AWS) and services like EMR, Glue, Lambda, Athena, S3 .
Design and implement data integration solutions pulling from multiple sources into a centralized data warehouse or data lake.
Develop pipelines using DBT (Data Build Tool) and manage workflows with Apache Airflow or Step Functions .
Write clean, maintainable, and efficient code using Python, PySpark, or Scala for data transformation and processing.
Build and manage relational and columnar data stores such as PostgreSQL, MySQL, Redshift, Snowflake, HBase, ClickHouse .
Implement CI/CD pipelines using Docker, Jenkins , and other DevOps tools.
Collaborate with data scientists, analysts, and other engineering teams to deploy data models into production.
Drive data quality , integrity, and consistency across systems.
Participate in Agile/Scrum ceremonies and utilize JIRA for task management.
Provide mentorship and technical guidance to junior team members.
Contribute to continuous improvement by making recommendations to enhance data engineering processes and architecture.

Required Skills & Experience:

5+ years of hands-on experience as a Data Engineer
Deep knowledge of Big Data technologies – Hadoop, Spark, Hive, Kafka.
Expertise in Python, PySpark and/or Scala .
Proficient with data modeling , SQL scripting , and working with large-scale datasets .
Experience with distributed storage like HDFS and cloud storage (e.g., AWS S3).
Hands-on with data orchestration tools like Apache Airflow or StepFunction.
Experience working in AWS environments with services such as EMR, Glue, Lambda, Athena.
Familiarity with data warehousing concepts and experience with tools like Redshift, Snowflake (preferred).
Exposure to tools like Informatica , AbInitio , Apache Iceberg is a plus.
Knowledge of Docker , Jenkins , and other CI/CD tools.
Strong problem-solving skills, initiative, and a continuous learning mindset.

Preferred Qualifications:

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
Experience with open table formats such as Apache Iceberg.
Hands-on with AbInitio (GDE, Collect > IT) or Informatica tools.
Knowledge of Agile methodology , working experience in JIRA .

Soft Skills:

Self-driven, proactive, and a strong team player.
Excellent communication and interpersonal skills.
Passion for data and technology innovation.
Ability to work independently and manage multiple priorities in a fast-paced environment.

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Data Engineer

ieng Group

Posted 13 days ago

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Job Description

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Connecting People with Purpose | Global Talent Acquisition | CSR | Employer Branding

Job Title:

Reports To:

Role and Responsibilities

Design, develop, and manage scalable, reliable, and efficient data pipelines for ingesting and transforming structured and unstructured data.
Work with diverse data formats such as Parquet, JSON, and CSV for data ingestion, processing, and transformation.
Clean, validate, and transform data from multiple sources to support business intelligence, analytics, and machine learning use cases.
Ensure data quality, consistency, and security across pipelines through validation rules, logging, and monitoring mechanisms.
Collaborate with cross-functional teams to understand business requirements and deliver high-quality datasets for reporting and analytics.
Develop and optimize ETL/ELT workflows using industry-standard tools and languages such as Python and SQL.
Monitor, debug, and enhance the performance, reliability, and scalability of data pipelines and infrastructure.
Participate in code reviews, adhere to best practices, and contribute to internal documentation and process automation.
Take full ownership of assigned tasks, ensuring timely and accurate delivery with accountability.

OH&S/QMS Role and Responsibilities

Reports any hazards or risks in addition to Accidents/Incident to QHSE department.
Be aware of and complies to i engineering’s IMS Policy.
Abides by i engineering’s Local Legal and Client Requirements.
Attends and engages in IMS Awareness Sessions.
Ensures that all IMS procedures are regularly followed and raises the issue when they are not

Qualifications Requirements

4–5 years of hands-on experience in data engineering or backend software development.
Strong proficiency in SQL and experience optimizing queries in Amazon Redshift, PostgreSQL, or similar.
Proficiency in Python (or another scripting language) for data processing and workflow automation.
Experience building and scheduling workflows using orchestration tools such as Apache Airflow.
Experience integrating with REST APIs or streaming data sources (e.g., Kafka) is a strong advantage.
Familiarity with data lake architectures, S3, and working with distributed file formats like Parquet or ORC.
Experience with version control (e.g., Git) and CI/CD practices.

Education Requirements

Bachelor's degree in Computer Science, Software Engineering, or a related technical field.

Seniority level

Seniority level Mid-Senior level

Employment type

Employment type Full-time

Job function

Job function Information Technology
Industries Telecommunications

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Pakistan $60,000.00-$120,000.00 1 month ago

Full Stack Developer (React.js & Node.js) Frontend Engineer II (with Webflow expertise)

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Data Engineer

Islamabad, Islamabad NorthBay Solutions LLC

Posted 13 days ago

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Job Description

Job Title: Data Engineer

Location: Karachi, Lahore , Islamabad (Hybrid)
Experience: 5+ Years
Job Type: Full-Time

Job Overview:

Key Responsibilities:

Design, develop, and maintain large-scale Data pipelines using modern big data technologies and cloud-native tools.
Build scalable and efficient distributed data processing systems using Hadoop, Spark, Hive, and Kafka .
Work extensively with cloud platforms (preferably AWS) and services like EMR, Glue, Lambda, Athena, S3 .
Design and implement data integration solutions pulling from multiple sources into a centralized data warehouse or data lake.
Develop pipelines using DBT (Data Build Tool) and manage workflows with Apache Airflow or Step Functions .
Write clean, maintainable, and efficient code using Python, PySpark, or Scala for data transformation and processing.
Build and manage relational and columnar data stores such as PostgreSQL, MySQL, Redshift, Snowflake, HBase, ClickHouse .
Implement CI/CD pipelines using Docker, Jenkins , and other DevOps tools.
Collaborate with data scientists, analysts, and other engineering teams to deploy data models into production.
Drive data quality , integrity, and consistency across systems.
Participate in Agile/Scrum ceremonies and utilize JIRA for task management.
Provide mentorship and technical guidance to junior team members.
Contribute to continuous improvement by making recommendations to enhance data engineering processes and architecture.

Required Skills & Experience:

5+ years of hands-on experience as a Data Engineer
Deep knowledge of Big Data technologies – Hadoop, Spark, Hive, Kafka.
Expertise in Python, PySpark and/or Scala .
Proficient with data modeling , SQL scripting , and working with large-scale datasets .
Experience with distributed storage like HDFS and cloud storage (e.g., AWS S3).
Hands-on with data orchestration tools like Apache Airflow or StepFunction.
Experience working in AWS environments with services such as EMR, Glue, Lambda, Athena.
Familiarity with data warehousing concepts and experience with tools like Redshift, Snowflake (preferred).
Exposure to tools like Informatica , AbInitio , Apache Iceberg is a plus.
Knowledge of Docker , Jenkins , and other CI/CD tools.
Strong problem-solving skills, initiative, and a continuous learning mindset.

Preferred Qualifications:

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
Experience with open table formats such as Apache Iceberg.
Hands-on with AbInitio (GDE, Collect > IT) or Informatica tools.
Knowledge of Agile methodology , working experience in JIRA .

Soft Skills:

Self-driven, proactive, and a strong team player.
Excellent communication and interpersonal skills.
Passion for data and technology innovation.
Ability to work independently and manage multiple priorities in a fast-paced environment.

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