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Prima Systems

We&rsquo;re Hiring: Junior Data Engineer (SQL/ETL) Experience Required: 1&ndash;2 Years Location: Johar Town, Lahore (100% Onsite) Timings: 12 PM &ndash; 9 PMKey Responsibilities Design &amp; optimize database schemas, tables, and indexing strategies Develop and maintain ETL workflows (preferably SSIS) Write and optimize T-SQL queries &amp; stored procedures Ensure data accuracy, consistency, and security Troubleshoot database issues, data discrepancies, and migrations Maintain documentation for SQL code, ETL processes, and database structuresRequired Skills &amp; Experience 1&ndash;2 years of experience working with SQL Server (T-SQL) Understanding of database design, normalization &amp; indexing Experience with ETL tools like SSIS or similar Knowledge of reporting tools (SSRS, Power BI, Tableau) is a plus Familiarity with data warehousing concepts (preferred) Strong analytical and problem-solving skillsInterested candidates may share their resume at careers@primasystems.net OR WhatsApp their resume: 0325-7666161Job Type: Full-timePay: Rs110,000.00 - Rs160,000.00 per monthWork Location: In person

Junior Data Engineer (SQL/ETL)

Murkez Technologies

<div>
 
 We are looking for an experienced and detail-oriented
 
 Data Warehouse Developer
 
 to design, build, and maintain scalable and robust data infrastructure for the organization. The ideal candidate will have a strong understanding of data warehousing concepts, database architecture, ETL processes, and performance optimization techniques. This role requires close collaboration with business, analytics, and BI teams to ensure efficient data storage, transformation, and availability for reporting and decision-making.
 
 
 
 Responsibilities:
 
 
 
 &middot; Design and implement data warehouse schemas, including
 
 star
 
 and
 
 snowflake
 
 models.
 
 
 
 &middot; Develop, optimize, and maintain database tables, views, indexes, and related objects for performance and scalability.
 
 
 
 &middot; Build and manage
 
 ETL pipelines
 
 to ingest, clean, transform, and load data from multiple internal and external sources.
 
 
 
 &middot; Work closely with business and analytics teams to define data structures, data requirements, and storage strategies.
 
 
 
 &middot; Manage end-to-end data integration, transformation, and loading processes across various systems and environments.
 
 
 
 &middot; Develop and maintain scripts, workflows, or scheduled jobs to automate data ingestion and processing tasks.
 
 
 
 &middot; Ensure
 
 data integrity
 
 , accuracy, and consistency in staging, warehouse, and production environments.
 
 
 
 &middot; Monitor and tune database performance, including query optimization, indexing strategies, and workload management.
 
 
 
 &middot; Implement and maintain data security measures, access control policies, and backup/recovery procedures.
 
 
 
 &middot; Collaborate with BI developers to support efficient reporting, modeling, and analytics.
 
 
 
 &middot; Document data models, data flows, architecture designs, and implementation decisions for ongoing maintenance and knowledge sharing.
 
 
 
 
 Requirements
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, or a related discipline.
 
 </li>
 <li>
 
 3&ndash;5 years of experience
 
 in data warehouse or database development.
 
 </li>
 <li>
 Strong knowledge of data warehouse concepts including ETL, OLAP, dimensional modeling, and normalization/denormalization.
 
 </li>
 <li>
 Expertise in
 
 SQL
 
 and experience with one or more major RDBMS such as PostgreSQL, MySQL, SQL Server, or Oracle.
 
 </li>
 <li>
 Proficiency in schema design, table structuring, indexing, and query performance optimization.
 
 </li>
 <li>
 Hands-on experience with ETL tools such as
 
 Airflow
 
 ,
 
 SSIS
 
 , or similar platforms.
 
 </li>
 <li>
 Familiarity with cloud-based data platforms such as
 
 AWS Redshift
 
 or
 
 Google Big Query
 
 is a plus.
 
 </li>
 <li>
 Understanding of data governance, security, and compliance standards.
 
 </li>
 <li>
 Strong analytical, debugging, and problem-solving skills.
 
 </li>
 <li>
 Ability to work collaboratively in a dynamic, fast-paced environment.
 
 </li>
 </ul>
 
 Timings:
 
 
 <ul>
 <li>
 5:00 PM to 2:00 AM &ndash; Pakistan Standard Time (Hybrid)
 
 </li>
 </ul>
</div>

Data Warehouse Developer

Job Description:We are looking for a skilled Data Engineer to design, develop, and maintain robust database solutions. The ideal candidate will have expertise in writing complex SQL queries, optimizing performance, and managing database objects to support business applications and reporting needs.Key Responsibilities:<ul><li>Design and develop efficient SQL queries, stored procedures, views, and functions to support applications and reporting.</li><li>Analyze and tune slow-performing queries to improve system performance and responsiveness.</li><li>Assist in designing and updating database schemas, tables, relationships, and indexes to support evolving business requirements.</li><li>Ensure data integrity, consistency, and security across multiple environments.</li><li>Collaborate with cross-functional teams to understand data requirements and implement database solutions accordingly.</li><li>Support basic ETL processes using tools such as SSIS, ensuring reliable and timely data movement.</li><li>Document database structures, SQL logic, and processes for maintainability and knowledge sharing.</li><li>Identify and resolve data discrepancies, performance issues, and participate in data migration efforts as needed.</li></ul>Requirements:<ul><li>Strong experience in SQL Server (T-SQL), including query development, performance tuning, and stored procedure creation.</li><li>Solid understanding of database structures, normalization, and relational data modeling.</li><li>Experience with indexing strategies and query optimization techniques.</li><li>Familiarity with ETL tools like SSIS (basic to intermediate level).</li><li>Knowledge of version control systems such as Git or Azure DevOps.</li><li>Basic understanding of data warehousing concepts is an advantage but not required.</li><li>Strong problem-solving skills and attention to detail.</li></ul>Job Type: Full-timePay: Up to Rs250,000.00 per monthAbility to commute/relocate:<ul><li>Lahore: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>Are you able to join Immediately ?</li><li>This is an on site opportunity. Would you be able to commute to the office ?</li></ul>Work Location: In person

Data Engineer

Innovadel Technologies

Key Responsibilities<ul><li>Develop, maintain, and optimize ETL pipelines for data processing and integration.</li><li>Write efficient and complex SQL queries for data extraction, transformation, and reporting.</li><li>Work with Python for data automation, transformations, and scripting tasks.</li><li>Manage data models, tables, and reporting datasets used across the product.</li><li>Build dashboards and reports using Apache Superset, ensuring accuracy and performance.</li><li>Develop and maintain JasperReports for business and financial reporting.</li><li>Collaborate with backend teams working on Java Spring Boot to ensure smooth data flow.</li><li>Ensure data quality, validation, and integrity across all environments.</li></ul>Requirements<ul><li>3&ndash;4 years of experience as a Data Engineer or similar role.</li><li>Strong command of Python and SQL.</li><li>Hands-on experience with ETL tools/processes.</li><li>Experience with Superset and JasperReports is a strong plus.</li><li>Understanding of APIs, data structures, and relational databases.</li><li>Experience working with product or fintech data is preferred</li></ul>Job Type: Full-timePay: Rs200,000.00 - Rs300,000.00 per monthWork Location: In person

Senior Data Engineer

H2o Labs

Data EngineerTiming: 05:00 PM to 02:00 AMJob Type: Full-Time (On-site)Location: Johar TownAbout the Role We are looking for a highly skilled and versatile Data Engineer to join our team. The ideal candidate will have expertise in building and maintaining scalable data infrastructure, focusing on data pipelines, cloud technologies, and data processing systems. This role requires hands-on experience in designing and deploying reliable, high-performance data solutions that meet the demands of large-scale operations. Key Responsibilities:<ul><li>Data Infrastructure &amp; Pipeline Development:</li><li>Design, build, and maintain efficient, scalable, and robust data pipelines for data extraction, transformation, and loading (ETL).</li><li>Develop and optimize SQL queries for complex data processing and ensure high data quality.</li><li>Implement and manage automated data workflows using orchestration tools like Airflow.</li><li>Cloud Data Platforms:</li><li>Work extensively with cloud-based platforms like AWS, Azure, or GCP to build and manage data infrastructure.</li><li>Utilize services such as Azure Data Factory, AWS Glue, BigQuery, or similar tools for data ingestion, transformation, and storage.</li><li>Implement monitoring, logging, and alerting to ensure continuous data pipeline performance and reliability.</li><li>Data Modeling &amp; Warehousing:</li><li>Design and implement dimensional models and maintain data warehouses to support business intelligence and analytics.</li><li>Develop and manage data schemas, ensuring consistency and integrity across systems.</li><li>Optimize data storage, querying, and retrieval processes to meet business needs.</li><li>Data Processing &amp; Stream Handling:</li><li>Build real-time data pipelines using tools like Apache Kafka, Spark, or similar technologies for data stream processing.</li><li>Handle large datasets and complex transformations to support analytical workflows and reporting.</li></ul>Key Skills &amp; Qualifications:<ul><li>Bachelor's degree in Computer Science, Data Engineering, or a related field (or equivalent experience).</li><li>Proficiency in SQL, with hands-on experience in complex queries, joins, and optimizations.</li><li>Strong experience with cloud platforms (AWS, Azure, GCP), with tools like Azure Data Factory, AWS Glue, BigQuery, or similar.</li><li>Expertise in building and maintaining scalable ETL pipelines using tools like Airflow, DBT, or Spark.</li><li>Experience with data modeling and warehousing, including dimensional modeling, schema design, and data integrity management.</li><li>Familiarity with stream processing technologies like Kafka and Spark.</li><li>Hands-on experience with containerization tools like Docker and orchestration platforms like Kubernetes.</li><li>Strong problem-solving skills and the ability to troubleshoot and optimize complex data workflows.</li><li>Experience with data security, governance, and compliance standards.</li><li>Strong communication skills to collaborate effectively with technical and non-technical teams.</li></ul>Preferred Skills:<ul><li>Experience with data visualization tools (e.g., Power BI, Tableau) for creating dashboards and reporting.</li><li>Familiarity with Python for data transformations, automation, and scripting.</li><li>Experience with metadata management and data cataloguing tools.</li><li>Familiarity with monitoring tools like Datadog, Prometheus, or Grafana.</li></ul>Benefits<ul><li>Commissions- On Success fulling closing of project</li><li>Meal Facility &ndash; Enjoy delicious meals at the office.</li><li>Gym Facility &ndash; Stay active with access to our partner gym.</li><li>Health Support &ndash; Get free medical consultations when needed.</li><li>Restaurant Perks &ndash; Enjoy special discounts and offers through our restaurant collaborations.</li></ul>Job Type: Full-timePay: Rs150,000.00 - Rs250,000.00 per monthWork Location: In person

Devsinc

<div>
 Devsinc is seeking a talented
 
 Data Engineer
 
 having minimum of
 
 2 years of professional experience
 
 to join our growing data team. In this role, you will design and build scalable data pipelines, work with modern cloud platforms, and lay the foundation for analytics that drive critical business decisions. From day one, you'll learn from senior engineers, work with a modern cloud stack, and see your contributions make a tangible impact.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Design, develop, and maintain automated ETL/ELT data pipelines for structured and unstructured datasets.
 </li>
 <li>
 Build and optimize scalable, secure, and cost-efficient cloud data solutions using AWS, Azure, or GCP.
 </li>
 <li>
 Model, cleanse, and transform data to support analytics, dashboards, and reporting use-cases.
 </li>
 <li>
 Implement automated testing, monitoring, and alerting to ensure high data quality and reliability.
 </li>
 <li>
 Develop high-performance Python-based services and utilities for data ingestion and processing.
 </li>
 <li>
 Work with APIs, event-driven systems, and streaming platforms for real-time data workflows.
 </li>
 <li>
 Collaborate with cross-functional teams (Data Science, Backend, DevOps, Product) to gather requirements and deliver tailored data solutions.
 </li>
 <li>
 Follow strong software engineering best practices &mdash; clean code, modularity, version control, CI/CD.
 </li>
 <li>
 Document architecture, data flows, schemas, and development standards.
 </li>
 <li>
 Stay updated on evolving data engineering tools, frameworks, and cloud-native technologies
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Software Engineering, or a related field.
 </li>
 <li>
 Minimum 2 years of professional experience
 </li>
 <li>
 Strong knowledge of Python and SQL for data processing and transformation.
 </li>
 <li>
 Hands-on experience with at least one major cloud platform &mdash; AWS, GCP, or Azure.
 </li>
 <li>
 Exposure to cloud-native data services such as AWS Glue, Redshift, Azure Data Factory, BigQuery, Synapse, etc.
 </li>
 <li>
 Familiarity with modern data warehouses &mdash; Snowflake, Redshift, BigQuery, or Synapse.
 </li>
 <li>
 Strong understanding of ETL/ELT frameworks such as dbt, Apache Spark, or Databricks.
 </li>
 <li>
 Experience working with orchestration tools like Apache Airflow, Azure Data Factory Pipelines, or AWS Glue Workflows.
 </li>
 <li>
 Proficiency with version control systems (GitHub, GitLab, Bitbucket) and CI/CD pipelines.
 </li>
 <li>
 Solid understanding of Data Lake architectures (S3, ADLS, GCS) and schema design principles.
 </li>
 <li>
 Basic understanding of data governance, security, compliance, and access management concepts.
 </li>
 <li>
 Familiarity with streaming platforms such as Kafka, Amazon Kinesis, or Google Pub/Sub
 </li>
 <li>
 Collaborative - open to knowledge-sharing and teamwork.
 </li>
 <li>
 Team Player - willing to support peers and contribute to collective success.
 </li>
 <li>
 Growth Minded - eager to learn, improve, and adapt to emerging technologies.
 </li>
 <li>
 Adaptable - flexible in dynamic, fast-paced environments.
 </li>
 <li>
 Customer-Centric - focused on delivering solutions that create real business value
 </li>
 </ul>
</div>

Software Data Engineer

Algo

<div>Position: Data Engineer (Azure Platform)

Location: Lahore, Pakistan (on-site)<div> 
Job Description 
<ul><li>Design and develop scalable data warehouse solutions to support analytics and reporting.</li><li>Build and maintain efficient Azure Data Pipelines using Azure Data Factory for ETL processes.</li><li>Develop and optimize Spark jobs using Databricks and PySpark for large-scale data transformations.</li><li>Coordinate with onsite and offshore teams to ensure seamless project execution and business continuity.</li><li>Develop and maintain dashboards and reports using BI tools such as Power BI, Tableau, MicroStrategy, or Qlik.</li><li>Manage the presentation and access layers to ensure secure and efficient data access.</li><li>Work directly with clients and stakeholders to understand requirements and deliver actionable data solutions</li></ul></div> 
Qualifications
<ul><li>BS in Computer Science or a related field with 4-5 years of experience in BI and data management projects.</li><li>Strong expertise in database and data warehouse design, support, and maintenance.</li><li>Proficiency in writing complex SQL and SparkSQL queries.</li><li>Experience in Python and its data-related frameworks.</li><li>Hands-on experience with Databricks and PySpark for data engineering tasks.</li><li>Strong proficiency in Power BI; experience with other BI tools is a plus.</li><li>Experience with Azure Data Platform (Data Factory, Azure SQL, Synapse, Data Lake) is preferred.</li><li>Ability to generate and maintain comprehensive technical documentation.</li><li>Excellent communication and interpersonal skills.</li><li>Strong analytical and problem-solving abilities.</li><li>Willingness to learn and adapt to new technologies and project requirements.</li><li>Experience in data analysis is a plus.</li><li>Ability to work independently and handle critical situations confidently.</li><li>A collaborative, team-oriented mindset.</li></ul></div>

Data Engineer (Azure Platform)

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303 etl developer jobs IN Lahore

Junior Data Engineer (SQL/ETL)

Data Warehouse Developer

Data Engineer

Senior Data Engineer

Data Engineer

Software Data Engineer

Data Engineer (Azure Platform)