149 Big Data jobs in Pakistan

Devsinc is seeking a talented Data Science Engineer who will play a pivotal role in designing, implementing, and optimizing data-driven solutions that enhance our machine learning capabilities. The ideal candidate has a strong background in data engineering combined with machine learning and is passionate about applying modern technologies to drive innovation. You will collaborate with data scientists, analysts, and software engineers to create robust data pipelines and deploy advanced models.

Key Responsibilities:

• Design and implement scalable data pipelines to efficiently collect, process, and analyze large volumes of data from various sources.
• Collaborate with data scientists to transform machine learning models into production-ready applications.
• Optimize and maintain existing data workflows, ensuring data accuracy, quality, and integrity throughout the process.
• Evaluate and integrate new data management and processing technologies to enhance analytics capabilities.
• Create and manage data repositories, following best practices for data governance and security.
• Develop documentation and provide training to team members on data systems and workflows.
• Utilize cloud platforms (e.g., AWS, Azure, Google Cloud) for data storage, processing, and machine learning deployment.
• Stay updated on the latest industry trends and technologies in data engineering and machine learning.
• Lead the development and deployment of machine learning models that drive key business metrics and outcomes.
• Build and maintain scalable data pipelines and feature stores for training and inference use cases.
• Work closely with product, engineering, and business teams to identify high-impact data science opportunities and close the loop on delivery.
• Monitor and retrain models in production to ensure performance over time and handle data drift issues.
• Contribute to architectural decisions on data platforms and model-serving infrastructure.
• Mentor junior team members and help shape best practices in data science engineering.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Machine Learning, or a related technical discipline.
• 3-5 years of professional experience in data science and engineering roles, with a track record of delivering production-ready solutions.
• Demonstrated experience translating business problems into data science projects with measurable outcomes.
• Prior experience working closely with business stakeholders to operationalize models and drive ROI.

Soft Skills:

• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication skills, both verbal and written, to convey technical concepts effectively.
• Ability to work collaboratively in a fast-paced team environment and manage multiple priorities.
• Motivated self-starter with a passion for learning and applying new technologies.

Devsinc is seeking a talented Data Science Engineer who will play a pivotal role in designing, implementing, and optimizing data-driven solutions that enhance our machine learning capabilities. The ideal candidate has a strong background in data engineering combined with machine learning and is passionate about applying modern technologies to drive innovation. You will collaborate with data scientists, analysts, and software engineers to create robust data pipelines and deploy advanced models.

Key Responsibilities:

• Design and implement scalable data pipelines to efficiently collect, process, and analyze large volumes of data from various sources.
• Collaborate with data scientists to transform machine learning models into production-ready applications.
• Optimize and maintain existing data workflows, ensuring data accuracy, quality, and integrity throughout the process.
• Evaluate and integrate new data management and processing technologies to enhance analytics capabilities.
• Create and manage data repositories, following best practices for data governance and security.
• Develop documentation and provide training to team members on data systems and workflows.
• Utilize cloud platforms (e.g., AWS, Azure, Google Cloud) for data storage, processing, and machine learning deployment.
• Stay updated on the latest industry trends and technologies in data engineering and machine learning.
• Lead the development and deployment of machine learning models that drive key business metrics and outcomes.
• Build and maintain scalable data pipelines and feature stores for training and inference use cases.
• Work closely with product, engineering, and business teams to identify high-impact data science opportunities and close the loop on delivery.
• Monitor and retrain models in production to ensure performance over time and handle data drift issues.
• Contribute to architectural decisions on data platforms and model-serving infrastructure.
• Mentor junior team members and help shape best practices in data science engineering.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Machine Learning, or a related technical discipline.
• 3-5 years of professional experience in data science and engineering roles, with a track record of delivering production-ready solutions.
• Demonstrated experience translating business problems into data science projects with measurable outcomes.
• Prior experience working closely with business stakeholders to operationalize models and drive ROI.

Soft Skills:

• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication skills, both verbal and written, to convey technical concepts effectively.
• Ability to work collaboratively in a fast-paced team environment and manage multiple priorities.
• Motivated self-starter with a passion for learning and applying new technologies.

Faisalabad, Pakistan | Posted on 12/19/2024

We are seeking a skilled and motivated Data Scientist with 1-2 years of experience to join our growing team. The ideal candidate will work on analyzing complex datasets, building predictive models, and delivering actionable insights to support business decisions.

Responsibilities:

• Analyze large and complex datasets to identify trends, patterns, and insights.
  
• Develop and implement machine learning models to solve business problems.
  
• Perform data preprocessing, cleaning, and transformation.
  
• Collaborate with cross-functional teams to understand business needs and deliver data-driven solutions.
  
• Visualize data and create dashboards to present findings effectively.
  
• Document processes, methodologies, and outcomes for scalability and knowledge sharing.
  
• Stay updated with emerging trends and technologies in data science and machine learning.

• Bachelor's degree in computer science, data science, or a related field.
  
• Proven experience with data analysis and machine learning techniques.
  
• Proficiency in programming languages such as Python or R.
  
• Experience with data visualization tools like Tableau, Power BI, or Matplotlib.
  
• Familiarity with databases and query languages (e.g., SQL).
  
• Strong knowledge of statistical methods and predictive modelling.
  
• Excellent problem-solving and analytical skills.
  
• Strong communication and teamwork abilities.
  

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JOB SUMMARY:

Data Engineers are responsible for designing and creating the data warehouse and all related extraction, transformation, and load of data functions. They should be able to analyze and understand business data needs and design effective ETL/BI processes accordingly.

DESCRIPTION:

Data Warehouse /ETL

• Develop data models and data marts from various source systems.
• Develop and maintain ETL scripts to load data into staging areas, data warehouses, and data marts.
• Identify opportunities to utilize objects and code to reduce development effort and ensure consistent business rules.
• Identify opportunities for analysis and reporting solutions.
• Evaluate and select data modeling, BI, and data warehouse tools.
• Translate business requirements into technical data models and data marts.
• Understand key business drivers.
• Contribute to the development of the company's BI initiatives.
• Provide input on the overall BI strategy and communicate concepts to users.

Reporting & Drafting

• Document all development activities according to company standards.
• Support team members in a collaborative environment.
• Help establish standards and processes for BI data modeling.
• Communicate task status and issues effectively to project leads.

Requirements:

• Bachelor’s degree in computer science, BIT, BBIT, or related field; master’s preferred.
• 1-2 years of experience in data engineering or related fields with exposure to Big Data methodologies.
• Strong knowledge of RDBMS and SQL.
• Familiarity with ETL tools like Talend, Informatica, SSIS, or IBM Infosphere DataStage.
• Experience with Big Data technologies such as Hadoop, Cloudera, and Talend for Big Data is preferred.

• Associate

• Full-time

• Consulting, Engineering, and Information Technology

• IT Services and Consulting, Data Infrastructure and Analytics, IT System Data Services

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• Develop data sets, tools and processes used to maintain a common, data standard across the Bank.
• Translate the business requirements into technical requirements
• Analyse processes and technologies, contributing to the integration of new solutions.
• Define and document functional and non-functional user requirements and specifications.
• Develop source mapping matrix and other key artifacts and documents.
• Build physical data model from logical data model into data warehouse and data lake.
• Build data pipelines, ETL/ELT, data control & validation processes using ETL frameworks and data integration tools.
• Write and optimize complex SQL, Python, Shell script code for data pipelines that leverage relational and non-relational data.
• Perform unit testing, system integration testing and user acceptance testing.
• Deploy machine learning models developed by data scientists into production environment.
• Provide training and technical support to operations team and end users.
• Perform performance optimization and maintenance on data warehouse and data lake.
• Create and maintain technical documentation that is required in supporting solutions.

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.

• 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.

“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.

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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Direct message the job poster from DOT LABS

At Dot Labs, we are seeking a talented Associate Data Engineer to join our growing team.

Forward your resume to

Location: DHA Phase 2

Timing: 11:00 AM -8:00 PM (Onsite)

As an Associate Data Engineer, you will be responsible for designing and implementing data pipelines, maintaining our data infrastructure, and optimizing data storage and retrieval. You will work closely with other data engineers, data scientists, and stakeholders to ensure our data is reliable, accurate, and accessible.

Responsibilities:

- Design, build, and maintain scalable and efficient data pipelines using Airflow and Python

- Implement and maintain data storage solutions on AWS, such as S3 and Redshift

- Develop and maintain data infrastructure, including ETL processes, data warehousing, and data lakes

- Collaborate with data scientists to ensure data is clean, accurate, and readily available for analysis

- Optimize data retrieval and storage processes to ensure high performance and reliability

- Monitor and troubleshoot data pipelines and infrastructure issues

- Work with stakeholders to understand data requirements and implement solutions that meet their needs

- Stay up-to-date with the latest technologies and trends in data engineering

Requirements:

- Bachelor's or Master's degree in Computer Science, Engineering, or related field

- 1+ year of experience in data engineering, with a focus on designing and implementing data pipelines and infrastructure

- Strong skills in Airflow and Python, with experience in data manipulation, data integration, and data analysis

- Experience with AWS services such as S3, Redshift, EMR, and Lambda

- Experience with data warehousing and data modeling concepts

- Strong problem-solving skills and attention to detail

- Excellent communication and collaboration skills

If you meet these requirements and are passionate about data engineering, we would love to hear from you. Please apply with your resume and cover letter, and let us know why you would be a great fit for our team.

#dotlabs #data #dataanalysis #design #experience #python #dataengineering #datascientists #aws #lahorejobs

• Seniority level Entry level

• Employment type Full-time

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

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Lahore, Punjab, Pakistan PKR100,000.00-PKR130,000.00 1 month 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.