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database engineer (migration) Jobs in Karachi

database engineer (migration)

data & reporting analyst

data analyst

data warehouse engineer

Systems Limited

<div>We are seeking a Senior Data Engineer with strong expertise in Informatica and SQL to design, develop, and optimize data pipelines and ETL workflows. The ideal candidate will have hands-on experience in data integration, data warehousing, and performance tuning across enterprise environments.
<h3 class="jobSectionHeader">
Responsibilities:</h3>
<ul>
<li>Design, build, and maintain ETL workflows using Informatica PowerCenter (or Informatica Cloud).
</li>
<li>Develop and optimize SQL queries, stored procedures, and views for data extraction and transformation.
</li>
<li>Work closely with data modelers, analysts, and business teams to understand data requirements.
</li>
<li>Ensure data quality, integrity, and consistency across multiple systems.
</li>
<li>Perform root cause analysis on data and ETL issues, ensuring timely resolution.
</li>
<li>Support data warehouse development and manage data integration across different sources.
</li>
<li>Monitor and enhance ETL performance, implementing best practices for scalability and reliability.
</li>
<li>Collaborate with infrastructure and DevOps teams for deployment and job scheduling (e.g., Autosys, Control-M).
</li>
</ul><h3 class="jobSectionHeader">Requirements</h3>
<ul>
<li>8&ndash;10 years of experience in Data Engineering or related roles.
</li>
<li>Strong hands-on experience with Informatica PowerCenter / IICS.
</li>
<li>Advanced proficiency in SQL (Oracle, SQL Server, or similar).
</li>
<li>Solid understanding of data warehousing concepts (Star/Snowflake schema, fact/dimension modeling).
</li>
<li>Experience with performance tuning of ETL processes and database queries.
</li>
<li>Familiarity with data governance, data quality, and metadata management practices.
</li>
<li>Experience working in cloud-based or hybrid data environments (Azure, AWS, or GCP) is a plus.
</li>
<li>Strong problem-solving skills and ability to work in cross-functional teams.</li></ul></div><div></div>

Principal Data Engineer

Confiz

<div>We are looking for an experienced data engineer responsible for expanding and optimizing our big data pipelines. You will be working alongside other engineers and developers working on different layers of the data warehouse. 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 0technologies.</li>
<li>Ensure the design, code and procedural aspects of solution are production ready, in terms of operational, security and compliance standards.</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>3+ years of overall experience in data engineering &amp; data warehousing domain focusing on building large scale data pipelines</li>
<li>2+ 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>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 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>

Senior Azure Data Engineer

Pivotize Consulting

Position Overview:We are seeking a experienced Data Engineer to join the team. As a Data Engineer, you will play a crucial role in designing, implementing, and maintaining the infrastructure necessary for our data initiatives, ensuring scalability, reliability, and efficiency. You will collaborate with cross-functional teams to develop robust data pipelines, optimize data workflows, and ensure the reliability and scalability of our data systems.Key Responsibilities:&middot; Develop and maintain ETL (Extract, Transform, Load) processes to integrate data from disparate sources into SQL Server databases.&middot; Write complex SQL queries, stored procedures, and optimize database performance for large-scale datasets.&middot; Develop and implement efficient data models to support analytical and reporting requirements.&middot; Design, implement, and optimize database structures, stored procedures, queries, and views for performance and scalability.&middot; Design and implement database schemas, tables, indexes, Triggers and constraints to ensure efficient storage and retrieval of data.&middot; Perform database debugging, troubleshooting, and bug fixing to identify and resolve issues related to data integrity, performance, and functionality.&middot; Troubleshoot and resolve database issues, including performance bottlenecks, data corruption, and system errors.&middot; Collaborate with cross-functional teams, including software developers, analysts, and business stakeholders, to gather requirements and implement database solutions.&middot; Implement security measures and access controls to protect sensitive data stored in SQL Server databases, in compliance with regulatory requirements and industry best practices.Requirements:&middot; Degree in Computer Science, Engineering, or a related field.&middot; Strong expertise in Microsoft SQL Server (T-SQL, indexing, query tuning, performance optimization).&middot; 5+ years of experience as a Data Engineer or similar role, with a strong background in data warehousing, ETL, and database technologies.&middot; Can demonstrate experience working with large and complex data sets as well as experience analyzing volumes of data.&middot; Experience with monitoring and optimizing database performance in production environments.&middot; Familiarity with cloud-based data architecture and pipelines.&middot; Strong problem-solving, analytical, and debugging skills.&middot; Ability to analyze complex data sets and design scalable data solutions.&middot; Excellent communication and collaboration skills.Job Type: Full-timeApplication Question(s):<ul><li>what is your current salary?</li><li>what is your expected salary?</li><li>What is your notice period?</li><li>Since it's an onsite role, would you be able to commute to Bahria Complex 1, M.T. Khan Road?</li></ul>Work Location: In person

Data Engineer

Assurety Consulting & Solutions Pvt. ltd

Assurety Consulting is looking for a skilled Data Engineer to design, develop, and maintain robust data solutions. The ideal candidate will have hands-on experience with SQL Server, SSIS, and Azure Data Factory, along with strong knowledge of ETL processes and data optimization.Key Responsibilities:<ul><li>Develop, optimize, and maintain ETL pipelines and data workflows.</li><li>Work with SQL Server and Azure Data Factory (ADF) for data integration.</li><li>Implement data warehousing, data lake, and data modeling solutions.</li><li>Collaborate with business and analytics teams to ensure reliable data delivery.</li><li>Improve data quality, performance, and scalability.</li></ul>Requirements:<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field.</li><li>Minimum 3 years of experience as a Data Engineer.</li><li>Strong expertise in SQL Server, SSIS, and Azure Data Factory (ADF).</li><li>Experience in ETL, Data Warehousing, and performance optimization.</li><li>Excellent analytical and problem-solving skills.</li></ul>Why Join Us:<ul><li>Collaborative and growth-oriented work environment.</li><li>Opportunity to work with cutting-edge data technologies.</li><li>Clear career progression paths and skill-building opportunities.</li></ul>Location: Shahrah - e - Faisal, KarachiJob Type: Full-timeWork Location: In person

<div>This role requires a professional with a deep background in data engineering and expertise in designing and implementing cloud-based data warehousing solutions using Azure Synapse. The ideal candidate will be a strategic thinker with a proven record of accomplishment of delivering scalable and efficient data solutions to meet complex business requirements.
Responsibilities:
<ul><li>Design and implement highly scalable, high performance data warehousing solutions in Azure Synapse.</li>
<li>Analyze and migrate existing data systems to Azure Cloud, optimizing data flow and collection to improve data accuracy and utility.</li>
<li>Contribute to data architecture design and modeling initiatives, ensuring alignment with business needs and compliance with data governance standards.</li>
<li>Consult with stakeholders to define data requirements, deliverables, and timelines, providing technical leadership and guidance throughout project lifecycles.</li>
<li>Implement data security and privacy policies in line with industry best practices and organizational standards.</li>
<li>Optimize data integration pipelines for performance and scalability.</li>
<li>Develop and maintain documentation regarding data architectures, procedures, and solutions.</li>
</ul>
Qualifications
<ul><li>Bachelor&rsquo;s or master's degree in computer science, Engineering, Information Technology, or a related field.</li>
<li>5+ years of experience in data engineering with a strong focus on cloud-based solutions.</li>
<li>Expertise in Azure Synapse Analytics, including data integration, management, and security.</li>
<li>Proficient with SQL, Python, PySpark, and other scripting languages commonly used in data engineering.</li>
<li>Familiar with Azure IaC (Infrastructure as Code) and CI/CD automation using ARM, Bicep or Terraform</li>
<li>Deep knowledge of ELT (Extract, Load, Transform) and ETL (Extract, Transform, Load) processes and experience with Azure Data Factory.</li>
<li>Strong understanding of data modeling (Data Vault 2.0 experience or certification preferred), data warehousing, and data lakes.</li>
<li>Proven consulting or advisory roles in the design and deployment of large-scale data solutions in Azure environments.</li>
<li>Experience working directly with clients or stakeholders in a consulting capacity, translating business needs into technical specifications and actionable plans.</li>
<li>Demonstrated ability to contribute to project leadership, coordinate across client functional groups, and manage client relationships.</li>
<li>Microsoft Certified: Azure Data Engineer Associate preferrable</li>
<li>Microsoft Certified: Azure Solutions Architect Expert preferrable</li>
<li>Certified Data Vault 2.0 Practitioner (CDVP2) preferrable</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>

Azure Data Engineer - Pyspark

Squarera

We are looking for a motivated Snowflake Developer with 1&ndash;3 years of experience in data engineering and cloud-based data warehousing. The ideal candidate should have strong SQL skills, hands-on experience with Snowflake features, and a solid understanding of modern ETL/ELT processes.You will be responsible for building and optimizing scalable data pipelines, ensuring high data quality, and supporting analytics and reporting requirements across teams.Key Responsibilities:<ul><li>Develop, implement, and maintain data warehouse solutions using the Snowflake Cloud Data Platform.</li><li>Build and optimize ETL/ELT pipelines using tools such as dbt, Airflow, or Azure Data Factory.</li><li>Design and maintain data models, schemas, and transformations for analytics and reporting.</li><li>Implement data performance optimization, partitioning, and clustering strategies in Snowflake.</li><li>Manage data access, roles, and security policies.</li><li>Integrate Snowflake with cloud storage and BI tools like Power BI, Tableau, or Looker.</li><li>Troubleshoot and resolve issues in data ingestion, transformation, and performance.</li></ul>Required Skills &amp; Experience:<ul><li>1&ndash;3 years of experience as a Snowflake Developer or Data Engineer.</li><li>Strong command over SQL and data modeling concepts (star/snowflake schema).</li><li>Practical experience with Snowflake architecture (warehouses, Snowpipes, Streams, Tasks, etc.).</li><li>Familiarity with cloud environments (AWS, Azure, or GCP).</li><li>Experience working with structured and semi-structured data (JSON, Parquet, etc.).</li><li>Basic knowledge of Python for scripting and data manipulation.</li><li>Good understanding of ETL/ELT workflows and best practices.</li></ul>Preferred Qualifications:<ul><li>SnowPro Core Certification (a plus).</li><li>Experience in CI/CD pipelines and version control (Git, Jenkins).</li><li>Exposure to data governance and security compliance processes.</li></ul>Benefits:<ul><li>Market-competitive salary</li><li>Opportunity for international travel</li><li>Medical coverage</li><li>Annual performance-based bonus</li><li>Collaborative and innovative work environment</li></ul>Job Type: Full-timeWork Location: In person

Snowflake Developer

Horizon Tech

We are looking for a skilled Data Engineer to design, build, and optimise our modern data platform on the cloud. You'll be responsible for architecting scalable, secure, and automated data pipelines and enabling data-driven applications and AI/ML solutions across the organisation.This is an exciting opportunity to shape the data foundation of a growing business, leveraging a modern AWS and engineering ecosystem.Must Haves:<ul><li>3-5 years of experience in data engineering or a similar role working with large-scale, distributed data systems.</li><li>Strong proficiency in Python, SQL, and data modelling for analytical and transactional systems.</li><li>Deep understanding of modern AWS data and analytics services (e.g., S3, Glue, Lambda, Redshift, or equivalents).</li><li>Experience with Apache Spark / PySpark for batch and stream processing.</li><li>Solid knowledge of data governance, security, and compliance frameworks.</li><li>Familiarity with Infrastructure as Code (Terraform, CloudFormation) and CI/CD practices.</li><li>Understanding of AI/ML data workflows, including feature engineering and data preparation for LLMs or predictive models.</li><li>Strong problem-solving, collaboration, and communication skills.</li></ul>Preferred (Nice to Have)<ul><li>Knowledge of containerization (Docker, ECS, EKS) or serverless data architectures.</li><li>Understanding of AI/ML and NLP technologies, including integration of LLMs, automation frameworks, and RPA tools for intelligent data workflows.</li><li>Awareness of MLOps pipelines, model monitoring, and feature store management.</li></ul>Responsibilities:<ul><li>Design, build, and maintain large-scale, distributed, and event-driven data pipelines using modern AWS Data Engineering services (e.g., Glue, Lambda, Step Functions, etc.).</li><li>Develop ETL/ELT workflows integrating structured and unstructured data into Snowflake, Redshift, and S3-based data lakes.</li><li>Architect and optimise data ingestion, transformation, and storage layers for structured and unstructured data in a data lake or warehouse environment.</li><li>Implement and enforce data security, governance, and access controlincluding encryption, IAM, auditing, and compliance with best practices.</li><li>Develop and maintain metadata management, data lineage, and cataloguing frameworks to ensure traceability and consistency across datasets.</li><li>Automate infrastructure provisioning using Infrastructure-as-Code (IaC) tools such as Terraform or AWS CloudFormation.</li><li>Collaborate with analytics and AI/ML teams to deliver clean, high-quality, and feature-ready data for training and inference pipelines.</li><li>Integrate observability and monitoring into data workflows to ensure reliability, performance, and cost efficiency.</li><li>Contribute to CI/CD pipelines and Git-based version control for data workflows and infrastructure changes.</li><li>Mentor junior engineers and champion engineering best practices for data quality, reliability, and scalability.</li></ul>Other Details<ul><li>Work Days: Monday-Friday (3 pm - 12 am)</li><li>Office location: Off to Shahrah-e-Faisal, PECHS, Karachi</li></ul>Job Type: Full-timePay: Rs150,000.00 - Rs250,000.00 per monthApplication Question(s):<ul><li>What is your expected salary?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>data engineering with large-scale data systems: 3 years (Required)</li><li>Python, SQL and modern AWS data and analytics services: 3 years (Required)</li><li>ETL/ELT workflows : 3 years (Required)</li></ul>Location:<ul><li>Karachi (Required)</li></ul>Work Location: In person

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1183 data warehouse engineer jobs IN Karachi

Principal Data Engineer

Senior Azure Data Engineer

Data Engineer

Data Engineer

Azure Data Engineer - Pyspark

Snowflake Developer

Data Engineer