1,131 Python Engineer jobs in Pakistan

At Synares Systems , we transform ideas into impactful software solutions. Specializing in custom development, we empower businesses to streamline processes and enhance user experiences. Join our innovative team and help shape the future of software excellence!

• Develop and maintain APIs and back-end systems using Python frameworks (Django, Flask, or FastAPI).
• Build responsive front-end interfaces using React, Vue.js, or similar frameworks.
• Design and optimize databases for performance and scalability.
• Integrate third-party APIs and deploy applications using Docker and CI/CD pipelines.
• Collaborate with cross-functional teams to deliver high-quality features.
• Ensure system security, performance, and reliability.
• Stay updated on industry trends to drive innovation and improvements.

• Proficiency in Python (Django, Flask, or FastAPI) and front-end frameworks (React, Vue.js).
• Experience with databases (PostgreSQL, MySQL, MongoDB) and RESTful API design.
• Familiarity with Docker, Git, and cloud platforms (AWS, GCP, or Azure).
• Strong problem-solving, communication, and teamwork skills.
• 2+ years of full-stack development experience; Bachelor’s degree in a relevant field.

• Competitive salary and performance-based bonuses.
• Flexible working hours and remote work options.
• Opportunities for career growth and skill development.
• Collaborative and innovative work environment.
• Paid time off, including vacations and public holidays.
• Access to learning resources, workshops, and certifications.

If you’re passionate about building innovative software and want to be part of a dynamic, growing team, we’d love to hear from you. Join us at Synares Systems and make an impact on exciting projects that shape the future of technology. Apply today and let’s create something extraordinary together!

Join to apply for the Data Engineer role at Contour Software

Join to apply for the Data Engineer role at Contour Software

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About Contour

Contour Software has grown from a dozen people to over 2,000 staff across 3 cities, in less than 14 years.

About Contour

Contour Software has grown from a dozen people to over 2,000 staff across 3 cities, in less than 14 years.

As a subsidiary of Constellation Software Inc., we are proud to be part of a global enterprise software conglomerate that has grown to become one of the top 10 software companies in the world, with employees and customers in 100+ countries. With a broad-based and ever-growing portfolio of market-leading, vertical-market enterprise solutions covering more than 100 industry domains in predominantly mature markets, CSI's recipe creates the perfect environment for professionals to build fulfilling, long-term careers.

What started as an R&D & Accounting back-office, has progressed into a full-service Global Centre serving all functions and departments, at the divisional as well as operating group/corporate level. Today Contour employees, located in Karachi, Lahore & Islamabad, are serving CSI divisions located in time zones spanning the globe, from Sydney to Vancouver. With the global growth of Constellation as the wind in our sails, we are only just getting started!

The Division

At CSIPay, a Jonas company, we are dedicated to empowering Constellation’s six operating groups in the USA and Canada with seamless payment processing solutions. Our goal is to give you greater control over your revenue, enhance your market potential, and improve customer satisfaction, fostering success for all within the Constellation family.

The Position

We are looking for Data Engineers to join our development team and participate in different projects. We are looking for proactive people, team players passionate about technology and big data. This is an excellent opportunity for those professionals looking to develop in one of the fastest growing areas of software development.

The selected individuals will work out of the Contour Software Lahore/Karachi/Islamabad resource center office, as an extension of the division-based R&D department.

Role And Responsibilities Include But Not Limited To

• Write efficient queries to extract and analyze large datasets while ensuring seamless systems integration by developing robust data workflows.
• Design, develop, and maintain scalable ETL solutions for data pipelines, enhancing and optimizing existing processes to meet evolving business needs.
• Develop and expand the organization’s data technology stack to support advanced data processing and analytics needs, leveraging tools like AWS MapReduce and PySpark for big data handling.
• Apply machine learning techniques to clean and process data, supporting future initiatives to integrate machine learning into analytics workflows.
• Continuously evaluate and adopt the most efficient tools and technologies for data extraction, transformation, analysis, and integration.
• Build a strong understanding of customer business needs to deliver tailored and impactful data solutions, collaborating with stakeholders to translate business requirements into technical implementations.
• Utilize AWS services, including MapReduce and related tools, to enable scalable data processing and pipeline optimization while ensuring security, scalability, and cost-efficiency.
• Monitor and improve the performance of data systems and processes, staying updated on industry trends and emerging technologies in data engineering and analytics.
  
  

• Minimum 3 years of experience with AWS cloud data lake architectures including services like S3, Glue, Athena, and Redshift.
• Hands on experience with Apache Airflow for designing and managing complex data workflows.
• Deep understanding of data warehouse concepts, architectures, and structures.
• Expertise in cloud technologies, particularly AWS services, including AWS Glue, AWS Data Lake, and Amazon EMR for big data processing.
• Proven ability to design and build robust, scalable data pipelines for big data processing and transformation.
• Hands-on experience with big data tools and frameworks such as PySpark, Databricks, and related technologies.
• Proficiency in programming languages such as Python for data manipulation, transformation, and analysis. Advanced Python development skills, including experience with AWS SDKs (e.g. boto3) for interacting with cloud services.
• Proficiency in Apache Kafka for real-time data streaming and event-driven architectures.
• Strong SQL skills with a focus on complex query development and optimization. Familiarity with NoSQL databases such as DynamoDB or MongoDB
• Experience integrating Python applications with RESTful APIs and external services
• Deep understanding of data security best practices, including encryption at rest and in transit. Hands-on experience in implementing AWS KMS (Key Management Services) for managing encryption keys.
• Familiarity with IAM policies, VPC configurations, and security groups for securing data pipelines.
• Familiarity with machine learning concepts and their application to data cleaning and integration tasks.
• Advanced English proficiency, with excellent communication skills for collaborating with stakeholders
  
  

• Market-leading Salary
• Medical Coverage – Self & Dependents
• Parents Medical Coverage
• Provident Fund
• Employee Performance-based bonuses
• Home Internet Subsidy
• Conveyance Allowance
• Profit Sharing Plan (Tenured Employees Only)
• Life Benefit
• Child Care Facility
• Company Provided Lunch/Dinner
• Professional Development Budget
• Recreational area for in-house games
• Sporadic On-shore training opportunities
• Friendly work environment
• Leave Encashment
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries IT Services and IT Consulting

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Karachi Division, Sindh, Pakistan 6 months ago

Karachi Division, Sindh, Pakistan 7 months ago

Karachi Division, Sindh, Pakistan 1 month ago

Karachi Division, Sindh, Pakistan 8 months ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Get AI-powered advice on this job and more exclusive features.

We’re on a mission to eliminate geographic borders as barriers to full-time employment and fair wages. We’re creating a global HR platform ecosystem that seamlessly connects exceptional talent worldwide with North American businesses. By making global hiring easier than local hiring, we provide businesses access to a broader talent pool and accelerate their hiring process. Spread across four continents, we’re a global team disrupting how people work together.

Role Overview

We are looking for a skilled Data Engineer to join our team. The ideal candidate will have strong expertise in designing, building, and maintaining scalable data pipelines and warehouses, ensuring data accuracy, quality, and accessibility across the organization.

Key Responsibilities

• Design, develop, and maintain ETL/ELT pipelines for efficient data processing.
• Build and optimize data models and warehouses to support analytics and reporting.
• Implement data governance and quality frameworks to ensure reliable insights.
• Integrate data from various sources (APIs, databases, third-party systems).
• Collaborate with cross-functional teams (engineering, product, analytics) to enable data-driven decision-making.

Required Skills

• Strong knowledge of data modeling and data warehousing .
• Proficiency in BigQuery, SQL, and NoSQL databases .
• Experience working with APIs for data integration.
• Strong programming skills in Python for data engineering tasks and automation.

Preferred Skills

• Experience with data governance and data quality frameworks .
• Familiarity with cloud-based data platforms and modern data stack tools.

Qualifications

• 3+ years of experience as a Data Engineer or in a related role.
• Strong problem-solving and analytical skills.

Why Join Edge?

Edge is at a pivotal growth point, offering you the rare opportunity to shape the future of global employment. Your work will directly impact business growth, enable global opportunities, and transform how people work across borders.

We’re not just offering a job — we’re inviting you to be part of a revolution.

Ready to leave a global footprint and change lives? Edge is where your vision becomes reality.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Product Management, Analyst, and Quality Assurance
• Industries IT Services and IT Consulting and Software Development

Referrals increase your chances of interviewing at Edge by 2x

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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

#LI-TM1

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.
  
  

• 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.
  
  

• 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.
  
  

• 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 Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries IT Services and IT Consulting

Referrals increase your chances of interviewing at NorthBay - Pakistan by 2x

Karachi Division, Sindh, Pakistan 5 months ago

Karachi Division, Sindh, Pakistan 9 months ago

Karachi Division, Sindh, Pakistan 7 months ago

Karachi Division, Sindh, Pakistan 1 year ago

Karachi Division, Sindh, Pakistan 2 months ago

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

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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.

• 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.

• 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.

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.