full stack developer

data analyst

it manager

dot net developer

data architect

etl developer

Systems Limited

<div>We are seeking a skilled and versatile Data Developer with hands-on experience in Snowflake, Power BI, T-SQL/SSIS, and Microsoft Fabric. The ideal candidate will be responsible for designing, developing, and supporting data integration, reporting, and analytics solutions that support business decision-making and operations. 
 
Responsibilities:
<ul>
<li>Design, implement, and maintain Snowflake data architecture.</li>
<li>Troubleshoot and resolve issues related to Snowflake environments.</li>
<li>Develop, optimize, and manage complex T-SQL queries for ETL processes.</li>
<li>Design, implement, deploy, and support SSIS packages for seamless data integration.</li>
<li>Monitor and troubleshoot SSIS jobs to ensure reliable data workflows.</li>
<li>Develop features and enhancements related to data management, orchestration, and reporting within the Microsoft Fabric platform</li>
</ul>
Requirements:
<ul>
<li>Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field.</li>
<li>Proven experience with:</li>
<li>Snowflake development and support.</li>
<li>Power BI dashboard/report development and performance tuning.</li>
<li>T-SQL scripting for data transformation and analysis.</li>
<li>SSIS package design, deployment, and troubleshooting.</li>
<li>Experience with Microsoft Fabric for modern data platform development.</li>
<li>Familiarity with C# and .NET Core Web API development is a plus.</li>
<li>Strong analytical, problem-solving, and communication skills.</li>
<li>Ability to work independently and collaboratively in a fast-paced environment</li></ul></div>

Data Architect

Retail online

We are looking for a highly skilled Data Warehouse Developer to join our team on a night shift schedule. The ideal candidate will have strong experience in SQL, SQL Server, and data warehouse platforms, with the ability to design, develop, and support reliable data warehouse solutions. This role requires excellent analytical, organizational, and communication skills, as well as the ability to work both independently and as part of a team.Key Responsibilities<ul><li>Design, develop, and maintain data warehouse and ETL/ELT solutions.</li><li>Write and optimize complex SQL queries for data extraction, transformation, and reporting.</li><li>Monitor and troubleshoot nightly data jobs and system performance.</li><li>Work with Power BI and similar tools to support data visualization and reporting needs.</li><li>Ensure data quality, integrity, and security across systems.</li><li>Proactively research solutions and best practices to improve performance and scalability.</li><li>Collaborate with analysts, developers, and business stakeholders to meet data requirements.</li><li>Document data flows, technical specifications, and support procedures.</li></ul>Required Qualifications<ul><li>Strong knowledge of SQL and experience with SQL Server.</li><li>Hands-on experience in designing, developing, and implementing data warehouse solutions.</li><li>Experience with Power BI or similar BI/reporting platforms.</li><li>Ability to proactively research and implement solutions and best practices.</li><li>Excellent analytical, organizational, verbal, and written communication skills.</li><li>Ability to work effectively independently and in a team environment.</li><li>Bachelor&rsquo;s degree in Computer Science, Information Systems, or related field.</li></ul>Preferred Qualifications<ul><li>Experience with cloud data platforms (e.g., AWS, Azure, or GCP).</li><li>Familiarity with ETL tools (e.g., Talend, Informatica, SSIS) and scripting languages (e.g., Python, Shell).</li><li>Understanding of data modeling and data governance practices.</li></ul>Job Type: Full-timePay: Rs100,000.00 - Rs300,000.00 per monthEducation:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>relevant: 3 years (Preferred)</li></ul>Language:<ul><li>English (Preferred)</li></ul>Work Location: On the roadApplication Deadline: 30/09/2025

Data Warehouse Developer (Night Shift)

<div>The candidate will be responsible for designing, building, and managing data infrastructure and pipelines to support analytics and machine learning initiatives. This role involves working closely with data scientists, analysts, and other teams to ensure data integrity, optimize data processing, and create robust data solutions 


Responsibilities:
<ul>
<li>Design, develop, and optimize data pipelines and workflows to gather, clean, and process large datasets.</li>
<li>Build scalable and reliable data models that support analytics and reporting needs.</li>
<li>Develop and maintain ETL processes to collect, store, and retrieve data efficiently.</li>
<li>Collaborate with data scientists and analysts to define and implement data requirements.</li>
<li>Implement data quality checks and monitoring processes to ensure data integrity.</li>
<li>Maintain and optimize data infrastructure, ensuring high availability and performance.</li>
<li>Integrate data from various sources and manage data storage solutions in cloud and on-premise environments.</li>
<li>Document data architecture, pipelines, and ETL processes.</li></ul> 


Requirements:
<ul>
<li>Bachelor&rsquo;s degree in Computer Science, Data Science, Engineering, or a related field.</li>
<li>Proven experience as a Data Engineer or similar role.</li>
<li>Proficiency in SQL, Python, and ETL tools.</li>
<li>Experience with data storage systems such as SQL databases, data lakes, and warehouses.</li>
<li>Strong knowledge of cloud platforms like AWS, Azure, or GCP.</li>
<li>Familiarity with big data technologies (e.g., Hadoop, Spark).</li>
<li>Knowledge of data modeling, data architecture, and data warehousing</li></ul></div>

Data Engineer

Squarera

We are looking for a Jr. Data Engineer who has a strong foundation in SQL and a passion for data. You will work with our data team to build and maintain pipelines, support data modeling, and contribute to the overall data architecture. This is a great opportunity for someone early in their career to grow in a supportive and dynamic environment.Key Responsibilities:<ul><li>Design, build, and maintain reliable data pipelines using SQL and other ETL tools.</li><li>Collaborate with data analysts, engineers, and business stakeholders to gather requirements and deliver data solutions.</li><li>Clean, transform, and validate data for use in reporting and analytics.</li><li>Ensure data quality and integrity across multiple sources.</li><li>Monitor existing workflows and optimize queries for better performance.</li><li>Participate in code reviews and contribute to technical documentation.</li></ul>Required Skills and Qualifications:<ul><li>6 months to 1 year of hands-on experience in data engineering or a similar role.</li><li>Proficient in writing complex SQL queries (joins, window functions, CTEs, aggregations, etc.).</li><li>Basic understanding of ETL processes and data pipeline tools.</li><li>Familiarity with databases such as PostgreSQL, MySQL, or SQL Server.</li><li>Exposure to cloud platforms like AWS, GCP, or Azure is a plus.</li><li>Good problem-solving skills and attention to detail.</li><li>Excellent communication and collaboration abilities.</li></ul>Preferred (but not required):<ul><li>Experience with Python or any scripting language.</li><li>Familiarity with tools like Airflow, DBT, or data warehousing solutions like Snowflake/BigQuery/Redshift.</li><li>Exposure to version control systems (e.g., Git).</li></ul>What We Offer:<ul><li>A collaborative team environment.</li><li>Opportunities for learning and professional growth.</li><li>Competitive compensation.</li></ul>Job Type: Full-timeWork Location: In person

Jr. Solution Engineer - Data

Xynotech

We&rsquo;re looking for a hands-on Data Engineer to join our team and lead the development of robust data pipelines powering the IllumiFi Analytics platform. You&rsquo;ll work with cutting-edge, cloud-native tools to architect, implement, and optimize serverless data solutions on AWS.If you enjoy working with Python, PySpark, and modern data lakehouse patterns in a fast-paced environment &mdash; this is your opportunity to build impactful solutions from the ground up.What You&rsquo;ll Actually Do Here<ul><li>Design and implement scalable, serverless data pipelines using AWS services such as Glue, Lambda, Step Functions, Athena, and S3</li><li>Build and optimize ETL processes using Python/PySpark for efficient data transformations</li><li>Ingest and process structured and semi-structured data formats including JSON, Parquet, and CSV</li><li>Integrate with external APIs using REST protocols and OAuth2 authentication</li><li>Model analytical datasets with star/snowflake schemas, implement SCD Type 2, and define partitioning strategies for efficient query performance</li><li>Build and maintain a well-organized S3-based data lake structure to support analytics workloads</li><li>Apply best practices for version control, data quality, and automation using GitHub workflows</li><li>Drive technical design discussions and contribute to improving infrastructure, tooling, and data processes</li></ul>What We&rsquo;re Looking For<ul><li>2+ years of experince in Data Engineering</li></ul>Strong hands-on experience with AWS services &mdash; especially Glue, Lambda, S3, Step Functions, and Athena<ul><li>Solid command of Python/PySpark for building and managing ETL pipelines</li><li>Proven track record working with large-scale datasets and optimizing performance</li><li>Deep understanding of data modeling, transformations, and SQL for analytical use cases</li><li>Familiarity with REST APIs, OAuth2 authentication, and data integration patterns</li><li>Experience with Git, CI/CD, and workflow automation</li><li>A problem-solving mindset and a passion for scalable, efficient data engineering</li><li>Ability to work independently and collaborate across teams</li></ul>Tools &amp; Platforms<ul><li>Languages &amp; Frameworks: Python, PySpark</li><li>Cloud &amp; Tools: AWS Glue, Lambda, S3, Step Functions, Athena</li><li>Data Formats: JSON, Parquet, CSV</li><li>Modeling &amp; Querying: SQL, Star/Snowflake schemas</li><li>Version Control: Git, GitHub workflows</li></ul>Nice-to-Haves<ul><li>Experience with Apache Iceberg or Hudi for data lakehouse architectures</li><li>Knowledge of data quality frameworks like Great Expectations</li><li>Familiarity with Terraform/IaC for infrastructure automation</li><li>Background in e-commerce or analytics platforms</li><li>Exposure to performance tuning for large data workloads</li><li>Hands-on with Step Functions HTTP Task</li></ul>Job Type: Full-timeEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Data Engineering: 2 years (Required)</li></ul>Location:<ul><li>Karachi (Required)</li></ul>Work Location: In person

<div>We are seeking an experienced Data Engineer with hands-on expertise in building and optimizing data pipelines and workflows. The ideal candidate will have strong experience with Azure Data Factory, Microsoft Fabric, and PySpark.

Responsibilities:
<ul>
<li>Design, develop, and maintain scalable data pipelines using Azure Data Factory.
</li>
<li>Work with Microsoft Fabric to enhance data warehousing and analytics capabilities.
</li>
<li>Develop and optimize ETL processes using PySpark.
</li>
<li>Ensure data integrity, quality, and availability across systems.
</li>
<li>Collaborate with cross-functional teams including data scientists, analysts, and product managers.
</li>
<li>Monitor and troubleshoot data workflows to ensure optimal performance and reliability.
</li>
<li>Maintain documentation and follow best practices in data engineering.</li></ul> 

<h3 class="jobSectionHeader">Requirements:</h3>
<ul>
<li>Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field.
</li>
<li>5+ years of experience in data engineering or similar roles.
</li>
<li>Proven expertise in Azure Data Factory
</li>
<li>Hands-on experience with Microsoft Fabric.
</li>
<li>Proficiency in PySpark and distributed data processing.
</li>
<li>Strong understanding of data warehousing concepts and cloud architecture.
</li>
<li>Excellent problem-solving and communication skills.
</li>
<li>Ability to work independently and within a team environment.</li></ul></div>

Senior Consultant Data Analytics

Awesome Technologies Inc.

Position: SQL DEVELOPER Job Type : Full TimeTimings: 6pm To 3 Am Location : Shahrah E Faisal , Karachi Position OverviewWe are looking for a skilled SQL Developer with 5+ years of hands-on experience in database development and optimization. The ideal candidate will have strong expertise in writing complex queries, designing database structures, and ensuring data accuracy and performance.Key Responsibilities<ul><li>Design, develop, and maintain database objects such as tables, views, stored procedures, functions, and triggers.</li><li>Write, optimize, and debug complex SQL queries to support application and reporting requirements.</li><li>Collaborate with software developers, analysts, and business teams to gather requirements and implement database solutions.</li><li>Perform query performance tuning and troubleshoot data-related issues.</li><li>Support ETL (Extract, Transform, Load) processes for data integration.</li><li>Ensure data integrity, security, and compliance with organizational policies.</li><li>Participate in database design, normalization, and documentation.</li><li>Assist in database migration, upgrades, and deployment activities.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field.</li><li>5+ years of proven experience as an SQL Developer.</li><li>Strong knowledge of SQL (T-SQL, PL/SQL, or equivalent).</li><li>Experience in database design, normalization, and indexing.</li><li>Hands-on experience with at least one major RDBMS (SQL Server, Oracle, MySQL, or PostgreSQL).</li><li>Strong performance tuning and query optimization skills.</li><li>Familiarity with ETL tools, reporting tools, or BI platforms (SSIS, SSRS, Power BI, etc. is a plus).</li><li>Understanding of data security and backup/recovery concepts.</li><li>Good analytical, problem-solving, and communication skills.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Will you be available for an onsite job in the timings of 6pm to 3am ?</li></ul>Experience:<ul><li>SQL Development: 5 years (Required)</li></ul>Language:<ul><li>English (Preferred)</li></ul>Work Location: In person

SQL Development Specialist

Explore 158+ Etl developer in Karachi this September. Find roles across top companies and apply now to boost your career.

158 etl developer jobs IN Karachi

Data Architect

Data Warehouse Developer (Night Shift)

Data Engineer

Jr. Solution Engineer - Data

Data Engineer

Senior Consultant Data Analytics

SQL Development Specialist