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<div>/&quot;Our U.S based Client required Remote Services for this Position/&quot; 
Summary 
 
We are looking for a highly skilled Senior Databricks Engineer with a strong background in Azure data services to lead the design, development, and optimization of scalable data pipelines and analytics solutions. The ideal candidate will have at least 4 years of hands-on experience in Databricks, with deep expertise in Azure Data Factory (ADF), Delta Lake, and big data processing. 
Key Responsibilities: 
<ul><li>Design and implement robust, scalable, and efficient data pipelines using Azure Databricks and ADF.</li>
<li>Develop and manage ETL/ELT processes, data lakes, and Delta Lake architecture.</li>
<li>Collaborate with data scientists, analysts, and business stakeholders to deliver high-impact AI/ML-driven data products.</li>
<li>Optimize Spark jobs and ensure performance tuning of large-scale data transformations.</li>
<li>Drive best practices in data quality, governance, and security across Azure cloud-based solutions.</li>
<li>Participate in code reviews, solution architecture design, and technical mentoring of junior engineers.</li>
<li>Monitor and manage job performance and orchestration using ADF, Databricks Workflows, or other schedulers.</li>
<li>Ensure adherence to compliance, privacy, and security policies within data solutions</li> 
</ul>Qualification:
Bachelors Degree in Computer Sciences or Software Engineering
Sound Knowledge of Database Management ,SQL and Azure</div>

Senior Databricks Engineer

The Services Tree Enterprises 

Job Description: SourceTeK is hiring a Data Engineer for one of our clients based in Johar Town, Lahore. We are looking for a motivated professional with 2&ndash;3+ years of experience in data engineering, especially someone who has hands-on experience with DBT tools and a strong understanding of modern data pipelines.Key Responsibilities:<ul><li>Build, maintain, and optimize data pipelines</li><li>Work with DBT tools for data modeling and transformations</li><li>Collaborate with cross-functional teams to ensure data accuracy and availability</li><li>Troubleshoot and optimize data workflows</li></ul>Requirements:<ul><li>2&ndash;3+ years of experience as a Data Engineer</li><li>Strong experience with DBT tools</li><li>Proficiency in SQL and data pipeline development</li><li>Experience with cloud platforms is a plus</li><li>Strong analytical and problem-solving skills</li></ul>How to Apply: If you&rsquo;re interested, please send your resume to talent@sourcetek.co or apply through Indeed.Job Type: Full-timePay: Rs120,000.00 - Rs200,000.00 per monthExperience:<ul><li>Data Engineer: 2 years (Preferred)</li></ul>Work Location: In person

Data Engineer

Careem

<div>
 
 About the Company
 
 
 
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 
 
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 
 
 
 
 We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
 
 
 
 
 
 About The Team
 
 
 
 The Careem Data Platform team&rsquo;s mission is to provide a platform to abstract big data complexities and enable fast, reliable and secure access to data. As a member of this team, you will be at the forefront of fulfilling this mission. You will be working with the top talent of the region, leveraging modern big data tools and techniques to solve the region&rsquo;s day to day problems, on top of our own in-house data platform, serving users in real-time.
 
 
 This role will be part of the Data processing and computation platform team. We are heavily invested in open source technologies like Apache Spark, Apache Kafka, Apache Trino etc. You would also have an opportunity to contribute and collaborate with the open source community.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Bringing an innovative and creative mindset to data engineering challenges to develop a modern data platform with efficient reusable components
 </li>
 <li>
 Design, architect, solutioning, implement and test rapid prototypes that demonstrate value of the data and present them to diverse audiences
 </li>
 <li>
 Your focus will be on making code more efficient to run, optimizing resources across the cluster, and speeding up the compute workloads we face
 </li>
 <li>
 Continuously improve our engineering processes, tests, and systems that allow us to scale the code base and productivity of the team
 </li>
 <li>
 Collaborate with teams globally and operate in a fast paced environment
 </li>
 <li>
 Responsible for creating reusable and scalable data pipelines
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need
 
 
 
 <ul>
 <li>
 5+ years of hands-on experience in software development
 </li>
 <li>
 Bachelor's degree in Computer Science or a related technical field
 </li>
 <li>
 Strong expertise in Scala, Java, Python or similar programming languages
 </li>
 <li>
 Proven track record of building distributed systems or working on comparable large-scale projects
 </li>
 <li>
 Deep understanding of cloud-native Big Data technologies
 </li>
 <li>
 Solid foundation in software engineering principles and design best practices
 </li>
 <li>
 Passion for developing high-quality, maintainable, and performant software within a collaborative, high-performing global team
 </li>
 <li>
 Experience with cloud control planes (AWS, GCP, etc.) or database internals, including query optimization
 </li>
 <li>
 Contributions to open-source projects will be preferred
 </li>
 <li>
 Experience with Docker and Kubernetes is a plus
 </li>
 </ul>
</div>

Senior Software Engineer I - Data Platform

Prima Systems

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

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

Cloudelligent

<div>
 
 
 
 
 
 Position Title:
 
 AWS Data Engineer&nbsp;
 
 
 
 
 
 
 
 
 Job Timings:
 
 8:00 AM &ndash; 5:00 PM CST (6:00 PM- 3:00 AM PKT)
 
 
 
 
 
 
 
 
 Location:&nbsp;
 
 Lahore
 
 
 
 
 
 
 
 
 
 About Cloudelligent&nbsp;
 
 
 
 
 
 
 
 
 
 Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to Startups &amp; SMBs. Being a next-gen cloud service provider, Cloudelligent helps businesses to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer obsessed.&nbsp;
 
 
 
 
 
 
 
 
 
 Job Objective
 
 
 
 
 
 
 
 
 
 We are seeking an experienced Data Engineer with a strong background in data engineering, database optimization, and cloud-based data solutions, particularly on AWS. The ideal candidate will have hands-on experience with both SQL and NoSQL databases and be proficient in migrating, managing, and modernizing data platforms. You should be skilled in designing and maintaining scalable, secure, and high-performance data infrastructure in the cloud.
 
 
 
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Design, implement, and manage cloud-based data infrastructure using Amazon RDS, Aurora, and EC2-hosted databases.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Administer and optimize PostgreSQL, MySQL, and Oracle databases, ensuring high availability, performance, and cost-efficiency.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Perform data migrations and transformations using AWS Database Migration Service (DMS) and other tools.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Collaborate with data architects, engineers, and DevOps teams to deliver reliable and scalable data solutions.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Support developers by analyzing and optimizing SQL queries and data workflows for performance and efficiency.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Monitor and troubleshoot data issues, ensuring availability, security, and compliance.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Implement data automation, infrastructure as code (IaC), and CI/CD pipelines for database and data pipeline deployments.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Ensure data security, encryption, and compliance with industry best practices and internal policies.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Maintain comprehensive documentation on data architecture, processes, and procedures.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Stay up to date with emerging AWS features, data engineering tools, and industry best practices.
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 Requirements
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, or a related field.
 
 
 
 
 </li>
 <li>
 
 
 
 
 4+ years of experience in data engineering or database engineering, including hands-on experience with databases on AWS.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Strong experience with AWS data services such as RDS, Aurora, and DMS.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Proficient in performance tuning, indexing strategies, partitioning, and query optimization.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Strong scripting and automation experience using Python, Bash, or similar tools.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Experience with infrastructure as code tools like Terraform or CloudFormation.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Solid understanding of backup strategies, monitoring tools, and security best practices.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Familiarity with multi-account AWS environments and cross-region replication.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Excellent communication and problem-solving skills.
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 Highly Desirable
 
 
 
 
 <ul>
 <li>
 
 
 
 
 AWS Certification (e.g., AWS Certified Data Engineer &ndash; Associate, AWS Certified Solutions Architect &ndash; Associate).
 
 
 
 
 </li>
 <li>
 
 
 
 
 Experience with large-scale on-prem to AWS data migrations.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Familiarity with data governance, compliance, and auditing tools.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Exposure to data lake architecture and AWS services like Glue, Athena, or Kinesis is a plus.
 
 
 
 
 </li>
 </ul>
 
 
 
 
</div>

AWS Data Engineer

<div>Position Title: AWS Data Engineer 
Job Timings: 8:00 AM &ndash; 5:00 PM CST (6:00 PM- 3:00 AM PKT) 
Location: Lahore 
 
About Cloudelligent 
 
Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to Startups &amp; SMBs. Being a next-gen cloud service provider, Cloudelligent helps businesses to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer obsessed. 
 
Job Objective 
 
We are seeking an experienced Data Engineer with a strong background in data engineering, database optimization, and cloud-based data solutions, particularly on AWS. The ideal candidate will have hands-on experience with both SQL and NoSQL databases and be proficient in migrating, managing, and modernizing data platforms. You should be skilled in designing and maintaining scalable, secure, and high-performance data infrastructure in the cloud. 
 
Responsibilities<ul><li>
Design, implement, and manage cloud-based data infrastructure using Amazon RDS, Aurora, and EC2-hosted databases.</li><li>
Administer and optimize PostgreSQL, MySQL, and Oracle databases, ensuring high availability, performance, and cost-efficiency.</li><li>
Perform data migrations and transformations using AWS Database Migration Service (DMS) and other tools.</li><li>
Collaborate with data architects, engineers, and DevOps teams to deliver reliable and scalable data solutions.</li><li>
Support developers by analyzing and optimizing SQL queries and data workflows for performance and efficiency.</li><li>
Monitor and troubleshoot data issues, ensuring availability, security, and compliance.</li><li>
Implement data automation, infrastructure as code (IaC), and CI/CD pipelines for database and data pipeline deployments.</li><li>
Ensure data security, encryption, and compliance with industry best practices and internal policies.</li><li>
Maintain comprehensive documentation on data architecture, processes, and procedures.</li><li>
Stay up to date with emerging AWS features, data engineering tools, and industry best practices.</li></ul> 

Requirements<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, or a related field.</li><li>
4+ years of experience in data engineering or database engineering, including hands-on experience with databases on AWS.</li><li>
Strong experience with AWS data services such as RDS, Aurora, and DMS.</li><li>
Proficient in performance tuning, indexing strategies, partitioning, and query optimization.</li><li>
Strong scripting and automation experience using Python, Bash, or similar tools.</li><li>
Experience with infrastructure as code tools like Terraform or CloudFormation.</li><li>
Solid understanding of backup strategies, monitoring tools, and security best practices.</li><li>
Familiarity with multi-account AWS environments and cross-region replication.</li><li>
Excellent communication and problem-solving skills.</li></ul> 

Highly Desirable<ul><li>
AWS Certification (e.g., AWS Certified Data Engineer &ndash; Associate, AWS Certified Solutions Architect &ndash; Associate).</li><li>
Experience with large-scale on-prem to AWS data migrations.</li><li>
Familiarity with data governance, compliance, and auditing tools.</li><li>
Exposure to data lake architecture and AWS services like Glue, Athena, or Kinesis is a plus.</li></ul>
AKibWGHF17</div>

Explore 1265+ Big data engineer in Lahore this December. Find roles across top companies and apply now to boost your career.

1265 big data engineer jobs IN Lahore

Senior Databricks Engineer

Data Engineer

Senior Software Engineer I - Data Platform

Data Engineer

Data Engineer

AWS Data Engineer

AWS Data Engineer