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HRCONSOL

We&rsquo;re Hiring: Azure Data EngineerClient: Leading USA-Based Software House Location: Karachi (On-Site) Employment Type: Full-Time Work Arrangement: On-Site Work Hours: Ability to overlap up to 6 hours with US CSTRole OverviewHRCONSOL is hiring an experienced Azure Data Engineer for a leading US-based software organization&rsquo;s Karachi Head Office. This role is ideal for a self-driven professional with strong expertise in Azure and Databricks, capable of owning end-to-end data engineering solutions and collaborating with global teams.Key Responsibilities<ul><li>Design, develop, and implement advanced analytics solutions using Azure &amp; Databricks</li><li>Perform data migration and transformation on Databricks</li><li>Build and maintain scalable data pipelines and API integrations</li><li>Collaborate with data engineers, data scientists, and business stakeholders</li><li>Optimize and tune performance of Azure-based and Databricks solutions</li><li>Monitor and manage Databricks environments for reliability and efficiency</li><li>Lead architecture and development of complex data integration projects</li><li>Conduct code reviews and enforce best practices</li><li>Independently own and manage tasks with timely, high-quality delivery</li><li>Work effectively with cross-functional and remote US-based teams</li></ul>Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, IT, or related field</li><li>6+ years of hands-on experience in Azure &amp; Databricks architecture, migration, and development</li><li>Strong experience in data pipelines, architectures, and data optimization</li><li>Proficiency in Python, Scala, or Java</li><li>Experience with Spark, Hadoop, or other big data technologies</li><li>Strong SQL and relational database knowledge</li><li>Experience with cloud infrastructure monitoring and management tools</li><li>Excellent analytical, troubleshooting, and communication skills</li><li>Ability to work independently and overlap with US CST hours (up to 6 hours)</li></ul>Preferred<ul><li>Azure and/or Databricks certifications</li></ul>Technical Skill Set<ul><li>Azure Data Factory (ADF)</li><li>Databricks</li><li>SQL &amp; NoSQL Databases</li><li>Data Modeling &amp; Data Warehousing</li><li>ETL Tools &amp; Processes</li><li>Azure Synapse Analytics</li><li>Python and/or Scala</li><li>Power BI or other data visualization tools</li></ul>How to ApplyInterested candidates can apply by sending their updated CV to: jobs@hrconsol.com Mention &ldquo;Azure Data Engineer &ndash; Karachi&rdquo; in the subject line.Job Type: Full-timePay: Rs300,000.00 - Rs600,000.00 per monthWork Location: In person

Azure Data Engineer

RGH Global

Role: Azure Data EngineerLocation: Karachi Work Arrangement: On-site Employment Type: Full-timeOverviewWe are seeking a highly experienced Azure Data Engineer with 6+ years of hands-on experience in Azure and Databricks architecture, migration, and development. This role requires strong ownership, clear communication, and the ability to overlap up to 6 hours with US CST.Key Responsibilities<ul><li>Design, develop, and implement advanced analytics solutions using Azure and Databricks</li><li>Perform data migration and transformation on Databricks</li><li>Build and maintain scalable data pipelines and API integrations</li><li>Collaborate with data engineers, data scientists, and business stakeholders</li><li>Optimize performance of Azure and Databricks solutions</li><li>Monitor and manage Databricks environments for reliability</li><li>Lead architecture and development of complex data integration projects</li><li>Conduct code reviews and enforce best practices</li><li>Own and self-manage tasks to ensure timely, high-quality delivery</li></ul>Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, IT, or related field</li><li>6+ years of experience with Azure and Databricks</li><li>Strong experience with data pipelines, data architecture, and ETL</li><li>Proficiency in Python, Scala, or Java</li><li>Hands-on experience with Spark, Hadoop, or similar tools</li><li>Strong SQL and relational database knowledge</li><li>Experience with cloud infrastructure monitoring</li><li>Excellent problem-solving and communication skills</li><li>Ability to work with US CST (up to 6 hours overlap)</li></ul>Preferred<ul><li>Azure and/or Databricks certification</li></ul>Technical Skills<ul><li>Azure Data Factory (ADF)</li><li>Databricks</li><li>Azure Synapse Analytics</li><li>SQL &amp; NoSQL databases</li><li>ETL &amp; data warehousing</li><li>Python / Scala</li><li>Power BI or similar visualization tools</li></ul>Job Type: Full-timePay: Rs400,000.00 - Rs600,000.00 per monthApplication Question(s):<ul><li>Are you based in Karachi and willing to work from office</li><li>Kindly quote your monthly salary expectations</li></ul>Experience:<ul><li>data engineering: 5 years (Required)</li></ul>Work Location: In person

Polymer Bags Manufacturing Company

Key Responsibilities<ul><li>Develop and maintain ETL/ELT pipelines to ingest data from diverse sources.</li><li>Build and optimize data storage solutions such as data warehouses, data lakes, and marts.</li><li>Ensure high-quality, reliable, and documented data workflows for analytics teams.</li><li>Troubleshoot data issues and enhance the performance of data systems.</li><li>Collaborate with analysts, data scientists, product owners, and business stakeholders on requirements and best practices.</li><li>Support data governance, security, and compliance standards.</li><li>Maintain clear documentation of data infrastructure, workflows, and standards.</li></ul>Required Qualifications✅ Must have a Bachelor&rsquo;s or Master&rsquo;s degree in:<ul><li>Data Science</li><li>Data Engineering</li><li>Computer Science with a strong data specialization</li><li>Information Systems with a data focus</li><li>Statistics, Mathematics, or closely related quantitative degree with demonstrated data coursework</li></ul>Job Type: Full-timePay: From Rs80,000.00 per monthWork Location: In person

Data Engineer

Efrotech Services

Key Responsibilities<ul><li>Develop and maintain ETL/ELT pipelines to ingest data from diverse sources.</li><li>Build and optimize data storage solutions such as data warehouses, data lakes, and marts.</li><li>Ensure high-quality, reliable, and documented data workflows for analytics teams.</li><li>Troubleshoot data issues and enhance the performance of data systems.</li><li>Collaborate with analysts, data scientists, product owners, and business stakeholders on requirements and best practices.</li><li>Support data governance, security, and compliance standards.</li></ul>Job Type: Full-timePay: From Rs80,000.00 per monthWork Location: In person

Confiz

<div>We are looking for a Principal Data Engineer, responsible for leading data engineering teams. He/she will provide guidance, mentorship, and technical expertise to team members, fostering a collaborative and innovative work environment. Collaboration is key for a Principal Data Engineer as he/she will work closely with stakeholders to define project requirements. Therefore, a commitment to collaborative problem solving, sophisticated design, and the creation of quality products is essential.
Responsibilities:
<ul><li>Collaborate with Big Data Solution Architects to design, prototype, implement, and optimize data ingestion pipelines so that data is shared effectively across various business systems.</li>
<li>Build &amp; maintain ETL/ELT Ingestion pipelines and analytics solutions using cloud technologies.</li>
<li>Ensure the design, code and procedural aspects of solution are production ready, in terms of operational, security and compliance standards.</li>
<li>Implement monitoring and logging solutions to ensure data pipelines run smoothly and issues are promptly identified.</li>
<li>Ensure all data processing complies with security policies and data protection regulations.</li>
<li>Takes the lead in ensuring that data is accurate, consistent, and reliable.</li>
<li>Participate in day-to-day project and production delivery status meetings, and provide technical support for faster resolution of issues.</li>
<li>Work with Stakeholders and Understand their Requirements</li>
</ul>
Qualifications
<ul><li>Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent work experience).</li>
<li>5+ years of overall experience in data engineering &amp; data warehousing domain focusing on building large scale data pipelines</li>
<li>3+ years' experience in Big Data Distributed systems such as Microsoft Fabric, Databricks, AWS EMR</li>
<li>Strong experience in developing data pipelines using PySpark and ETL tools like ADF, Talend</li>
<li>Proficiency in Python &amp; SQL</li>
<li>Solid understanding of data modelling, ETL processes, and best practices in data warehousing domain</li>
<li>Strong problems solving and critical thinking skills</li>
<li>Experience of writing effective and maintainable unit and integration tests for ingestion pipelines.</li>
<li>Working knowledge of CI/CD pipelines for deployments.</li>
<li>Working knowledge of using code version control repositories like Git.</li>
<li>Knowledge of designing, developing, and managing Kafka-based data pipelines</li>
<li>Knowledge of security best practices including encryption of sensitive data, encryption at rest and encryption in flight.</li>
</ul>
We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.
What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM), ISO 14001:2015 (EMS), ISO 45001:2018 (OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.
People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</div>

Principal Data Engineer

Cosmo Resources

Overview:We are looking for a highly experienced and motivated Azure Data Engineer to join our team. The successful candidate will have a minimum of 6 years of hands-on experience in Azure and Databricks architecture, migration, and development. This role requires excellent communication skills and the ability to own and self-manage work. The candidate must be able to overlap with US CST work hours for up to 6 hours daily.Key Responsibilities:&middot; Design, develop, and implement advanced analytics solutions using Azure and Databricks.&middot; Perform data migration and transformation tasks on Databricks.&middot; Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity.&middot; Work closely with data engineers, data scientists, and business stakeholders to understand their requirements and provide expert guidance.&middot; Optimize and tune the performance of Databricks and Azure-based solutions.&middot; Manage and monitor the Databricks environment to ensure reliability and performance.&middot; Lead the architecture and development of complex data integration projects.&middot; Conduct code reviews, provide feedback, and ensure best practices are followed.&middot; Own and self-manage assigned tasks, ensuring timely delivery with high quality.&middot; Collaborate with cross-functional teams and stakeholders in a remote work environment.Qualifications:&middot; Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, or related field.&middot; 6+ years of experience with Azure and Databricks architecture, migration, and development.&middot; Strong experience in building and optimizing data pipelines, architectures, and data sets.&middot; Proficiency in programming languages such as Python, Scala, or Java.&middot; Experience with big data tools and technologies (Spark, Hadoop, etc.).&middot; Solid understanding of SQL and relational databases.&middot; Experience with cloud infrastructure management and monitoring tools.&middot; Excellent problem-solving skills and the ability to troubleshoot complex issues.&middot; Strong communication skills and the ability to work effectively in a remote team.&middot; Ability to work in the US CST time zone with up to 6 hours of overlap.Preferred Skills:&middot; Certification in Azure and/or Databricks is a plus.Technical Skills:&middot; Azure Data Factory (ADF)&middot; Databricks&middot; SQL and NoSQL databases&middot; Data modeling and data warehousing&middot; ETL processes and tools&middot; Azure Synapse Analytics&middot; Python and/or Scala&middot; Power BI or other data visualization toolsJob Type: Full-timePay: Rs300,000.00 - Rs600,000.00 per monthWork Location: In person

<div>We are seeking a Principal Data Engineer with 5+ years of hands-on experience and a strong background in real-time and batch data processing, containerization, and cloud-based data orchestration. This role is ideal for someone passionate about building robust, scalable, and efficient data pipelines, and who thrives in agile, collaborative environments.
Key Responsibilities
<ul><li>Design, build, and maintain real-time data pipelines using streaming frameworks such as Kafka, Apache Flink, and Spark Structured Streaming.</li>
<li>Develop batch processing workflows with Apache Spark (PySpark)</li>
<li>Orchestrate and schedule data workflows using orchestration frameworks such as Apache Airflow and Azure Data Factory</li>
<li>Containerize applications using Docker, manage deployments with Helm, and run them on Kubernetes</li>
<li>Implement modern storage solutions using open formats such as Parquet, Delta Lake, and Apache Iceberg</li>
<li>Build high-performance analytics engines using tools like Trino or Presto</li>
<li>Collaborate with DevOps to manage infrastructure with Terraform and integrate with CI/CD pipelines via Azure DevOps</li>
<li>Ensure data quality and consistency using tools like Great Expectations</li>
<li>Write modular, well-tested, and maintainable Python and SQL code</li>
<li>Develop an observability layer to monitor and optimize performance across data pipelines</li>
<li>Lead and mentor a team of data engineers</li>
<li>Participate in agile ceremonies and contribute to sprint planning and reviews</li>
</ul>
Required Skills &amp; Experience
<ul><li>Advanced Python programming with a strong focus on modular and testable code</li>
<li>Strong knowledge of SQL and experience working with large-scale datasets</li>
<li>Hands-on experience with at least one major cloud platform (Azure preferred)</li>
<li>Solid experience with real-time data processing (Kafka, Flink, or Spark Streaming)</li>
<li>Expertise in Apache Spark (PySpark) for batch processing</li>
<li>Experience implementing lakehouse architectures and working with columnar storage (e.g., ClickHouse)</li>
<li>Proficient in using Azure Data Factory or Apache Airflow for data orchestration</li>
<li>Experience in building APIs to expose large datasets</li>
<li>Solid experience with Docker, Kubernetes, and Helm</li>
<li>Familiarity with data lake open formats such as Parquet, Delta Lake, and Iceberg</li>
<li>Basic experience with Terraform for infrastructure provisioning</li>
<li>Practical experience with data quality frameworks (e.g., Great Expectations)</li>
<li>Comfortable working in agile development teams</li>
<li>Proven ability in debugging and performance tuning of streaming and batch data jobs</li>
<li>Experience with AI-driven tools (e.g., text-to-SQL) is a plus</li>
<li>Bachelor&rsquo;s degree in computer science or related discipline</li>
</ul>
We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.
What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM), ISO 14001:2015 (EMS), ISO 45001:2018 (OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.
People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</div>

Principal Data Engineer (PySpark)

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270 data engineer jobs In Karachi

Azure Data Engineer

Azure Data Engineer

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Data Engineer

Principal Data Engineer

Azure Data Engineer

Principal Data Engineer (PySpark)