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data engineer (azure platform) Jobs in Lahore

data engineer (azure platform)

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database engineer

Tkxel

<div>
 
 As a Database Engineer (SQL), you will play a key role in
 
 designing, optimizing, and scaling
 
 our database infrastructure. You will collaborate closely with engineers, data analysts, and product teams to improve the current database architecture and build new high-performance, scalable, and secure databases tailored to our business needs.
 
 
 <ul>
 <li>
 
 Design, develop, and optimize highly scalable database architectures with a focus on
 
 PostgreSQL
 
 .
 
 
 </li>
 <li>
 
 Lead the
 
 migration, optimization, and restructuring
 
 of existing databases to ensure efficiency and scalability.
 
 
 </li>
 <li>
 
 Implement and enforce database best practices, including indexing, partitioning, query optimization, and normalization.
 
 
 </li>
 <li>
 
 Define and execute
 
 high-availability and disaster recovery
 
 strategies.
 
 
 </li>
 <li>
 
 Work closely with engineering teams to ensure efficient database schema design and support the development of new features.
 
 
 </li>
 <li>
 
 Monitor and troubleshoot database performance, identifying and resolving bottlenecks.
 
 
 </li>
 <li>
 
 Ensure data security and compliance with industry standards, implementing encryption, access control, and auditing policies.
 
 
 </li>
 <li>
 
 Optimize stored procedures, triggers, and functions for maximum efficiency.
 
 
 </li>
 </ul>
 
 
 
 
 Technology Stack:
 
 
 <ul>
 <li>
 
 
 Database:
 
 PostgreSQL (Primary), AWS RDS, SQL.
 
 
 </li>
 <li>
 
 
 Big Data &amp; ETL:
 
 Apache Kafka, Airflow, dbt, Snowflake (nice to have).
 
 
 </li>
 <li>
 
 
 Performance Optimization:
 
 Indexing, Partitioning, Query Optimization, Caching.
 
 
 </li>
 <li>
 
 
 Security:
 
 Data Encryption, Role-Based Access Control (RBAC), Auditing.
 
 
 </li>
 <li>
 
 
 Tools &amp; DevOps:
 
 Liquibase, Flyway, Terraform, Kubernetes (for DB management).
 
 
 </li>
 <li>
 
 
 Scripting &amp; Programming:
 
 SQL, PL/pgSQL, Python, Bash.
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 
 Methodologies:
 
 Agile, Scrum.
 
 
 
 
 
 </li>
 </ul>
 Requirements
 
 
 
 <ul>
 <li>
 
 
 3+ years of experience
 
 as a
 
 Database Developer
 
 , focusing on PostgreSQL.
 
 
 </li>
 <li>
 
 Proven expertise in designing, optimizing, and managing
 
 large-scale, high-performance databases
 
 .
 
 
 </li>
 <li>
 
 Strong knowledge of
 
 AWS database services
 
 (RDS, Aurora, EC2-based PostgreSQL instances) and
 
 on-premise PostgreSQL
 
 deployments.
 
 
 </li>
 <li>
 
 Experience implementing HA (High Availability) &amp; replication strategies (e.g., Patroni, PgBouncer, Streaming Replication).
 
 
 </li>
 <li>
 
 Deep understanding of query optimization, partitioning, indexing, caching, and concurrency control.
 
 
 </li>
 <li>
 
 Proficiency in backup/recovery strategies and disaster recovery planning.
 
 
 </li>
 <li>
 
 Hands-on experience with
 
 CI/CD pipelines
 
 and
 
 Infrastructure as Code
 
 tools like Terraform, Ansible, or AWS CloudFormation.
 
 
 </li>
 <li>
 
 Experience in
 
 database security
 
 ,
 
 ETL pipelines and data warehousing
 
 .
 
 
 </li>
 <li>
 
 Proficiency in
 
 SQL, PL/pgSQL
 
 , and scripting languages like
 
 Python
 
 or
 
 Bash
 
 for automation.
 
 
 </li>
 <li>
 
 Familiarity with monitoring and alerting tools (AWS CloudWatch, Prometheus, Grafana, Datadog).
 
 
 </li>
 <li>
 
 Excellent English communication skills, with the ability to collaborate effectively with both technical and non-technical teams.
 
 
 </li>
 </ul>
</div>

Database Engineer (SQL)

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)

Cloudelligent

<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>

AWS Data Engineer

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

<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>

HR Professional

We are seeking a highly skilled and experienced Database Administrator (DBA) to join our dynamic team. This role involves managing, maintaining, and enhancing multiple database environments including MySQL, MariaDB, SQL Server, and PostgreSQL. The ideal candidate will ensure that all databases remain available, secure, high-performing, scalable, and recoverable, while also conducting R&amp;D initiatives to improve our database tools, architecture, and performance.Key Responsibilities1. Database Administration<ul><li>Install, configure, upgrade, and maintain multiple database systems.</li><li>Perform schema design, object creation, user management, and permission control.</li><li>Manage and optimize database objects such as tables, views, indexes, stored procedures, triggers, and functions.</li><li>Ensure adherence to best practices for all relational database environments.</li></ul>2. Backup, Restore &amp; Disaster Recovery<ul><li>Develop, implement, and monitor incremental and full backup strategies.</li><li>Configure and maintain replication, clustering, mirroring, and other HA/DR solutions.</li><li>Conduct routine restore tests to ensure business continuity and minimal downtime.</li></ul>3. Performance Monitoring &amp; Optimization<ul><li>Monitor database health using monitoring tools; identify and resolve performance bottlenecks.</li><li>Optimize slow queries, indexes, caching, and server configurations.</li><li>Provide recommendations to improve database and application performance.</li></ul>4. Maintenance &amp; Automation<ul><li>Schedule and automate regular maintenance tasks including reindexing, vacuuming, consistency checks, and log cleanup.</li><li>Develop automation scripts using Bash, PowerShell, or Python to reduce manual workloads.</li></ul>5. Data Management &amp; ETL<ul><li>Execute data extraction, transformation, and loading (ETL) processes.</li><li>Handle database version upgrades and data migrations with integrity and minimal downtime.</li><li>Ensure secure, auditable handling of sensitive data.</li></ul>6. Security &amp; Compliance<ul><li>Implement and maintain database security policies including authentication, authorization, encryption, and auditing.</li><li>Identify vulnerabilities and apply patches/fixes.</li><li>Ensure compliance with internal data governance and regulatory requirements.</li></ul>7. Research &amp; Development (R&amp;D)<ul><li>Research new database technologies, tools, and performance strategies.</li><li>Conduct POCs on monitoring tools, database features, or scaling architectures.</li><li>Document findings and implement improvements to the database environment.</li></ul>8. Cross-Functional Support<ul><li>Collaborate closely with DevOps, Cloud, Development, and Security teams.</li><li>Support application deployments, migrations, and performance incident troubleshooting.</li><li>Participate in an on-call rotation to support critical database-related incidents.</li></ul>Requirements &amp; QualificationsMust-Have Skills<ul><li>5+ years of DBA experience in MySQL, MariaDB, SQL Server, and PostgreSQL.</li><li>Strong expertise in:</li><li>Backup &amp; recovery strategies</li><li>Replication, clustering, and HA/DR</li><li>Performance tuning and query optimization</li><li>Authentication, security, and access control</li><li>Hands-on experience with database tools:</li></ul>SSMS, SQLYog, MySQL Workbench, pgAdmin, Toad, etc.<ul><li>Strong understanding of Linux and Windows Server environments.</li><li>Experience with monitoring tools like Prometheus, Grafana, CloudWatch, Zabbix, SolarWinds, etc.</li><li>Scripting experience in Bash, PowerShell, or Python.</li></ul>Education<ul><li>Bachelor&rsquo;s Degree in Computer Science, Computer Engineering, Information Technology, or a related field.</li></ul>Preferred Qualifications <ul><li>Experience with cloud-managed databases (AWS RDS, Azure SQL, Cloud SQL).</li><li>Knowledge of NoSQL databases (MongoDB, Redis, Cassandra).</li><li>Experience with Kubernetes, containerized DB deployments, and operators.</li><li>Familiarity with CI/CD pipelines and DevOps practices.</li><li>Professional certifications in MySQL, SQL Server, PostgreSQL, or cloud platforms.</li></ul>Job Type: Full-timePay: Rs250,000.00 - Rs320,000.00 per monthWork Location: In person

Mysql Database Administrator

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)

Explore 463+ Database engineer in Lahore this December. Find roles across top companies and apply now to boost your career.

463 database engineer jobs IN Lahore

Database Engineer (SQL)

Junior Data Engineer (SQL/ETL)

AWS Data Engineer

Data Engineer

AWS Data Engineer

Mysql Database Administrator

Data Engineer (Azure Platform)