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associate data architect - data lake/data streaming Jobs in Karachi Jobs In Karachi Jobs In Karachi

associate data architect - data lake/data streaming

data engineer

Contour Software

<div><div>About Contour</div><div></div><div><div>
Contour Software</div> has grown from a dozen people to over 2,000 staff across 3 cities, in less than 14 years.</div><div><br>
As a subsidiary of Constellation Software Inc., we are proud to be part of a global enterprise software conglomerate that has grown to become one of the top 10 software companies in the world, with employees and customers in 100+ countries. With a broad-based and ever-growing portfolio of market-leading, vertical-market enterprise solutions covering more than 100 industry domains in predominantly mature markets, CSI's recipe creates the perfect environment for professionals to build fulfilling, long-term careers.</div><div><br>
What started as an R&amp;D &amp; Accounting back-office, has progressed into a full-service Global Centre serving all functions and departments, at the divisional as well as operating group/corporate level. Today Contour employees, located in Karachi, Lahore &amp; Islamabad, are serving CSI divisions located in time zones spanning the globe, from Sydney to Vancouver. With the global growth of Constellation as the wind in our sails, we are only just getting started!</div><div></div><div><div><div>
The Division:</div></div><div><div>
Site Service Software, Inc. provides industry-specific software and mobile solutions to companies that provide elevator service, maintenance, repair, modernization, installation and Elevator Inspection services. The software has been developed to address the specific needs of the elevator service, repair, and construction industry and for Elevator Inspectors. Moreover, our solutions have been designed and tested at client sites and they reflect that real-life experience and valuable insight.</div></div><div><div><br>
The Position:</div></div><div><div>
We are hiring a Data Engineer to support our cloud modernization initiatives across the Vertical Transportation division, dedicated to the Site Service Cloud (SSC) product.</div></div><div><div>
The Data Engineer will play a key role in designing, building, and maintaining the data pipelines that connect our long-standing legacy systems to our new cloud platforms. This work is critical to our long-term strategy of modernizing our technology stack, ensuring seamless data flow, and ultimately sunsetting legacy products as customers transition to the cloud.</div></div><div><div>
The position will work out of the Contour Software Karachi/Lahore/Islamabad resource center office, as an extension of the division-based R&amp;D department.</div></div><div><div><br>
Key Responsibilities:</div></div><div><ul><li><div>
Design, build, and maintain end-to-end data pipelines that migrate, synchronize, and transform data from legacy systems into the new cloud environments.</div></li></ul></div><div><ul><li><div>
Develop a deep understanding of each product&rsquo;s data structures&mdash;legacy and cloud&mdash;to ensure accurate and efficient data integration.</div></li></ul></div><div><ul><li><div>
Collaborate closely with product, engineering, and cloud architecture teams to capture data requirements and align pipelines with business rules.</div></li></ul></div><div><ul><li><div>
Optimize and maintain relational databases (SQL Server, PostgreSQL) for scalability, reliability, and high performance.</div></li></ul></div><div><ul><li><div>
Write clean, maintainable Python code for ETL processes, automation tasks, and data quality monitoring.</div></li></ul></div><div><ul><li><div>
Ensure data integrity and consistency across legacy-to-cloud migrations and ongoing synchronization jobs.</div></li></ul></div><div><ul><li><div>
Participate in architectural reviews, code reviews, sprint ceremonies, and cross-team planning.</div></li></ul></div><div><ul><li><div>
Contribute to the evolution of best practices for data engineering, including pipeline automation, documentation, and tooling improvements.</div></li></ul></div><div><div><br>
Job Qualifications:</div></div><div><ul><li><div>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, Data Engineering, or a related field.</div></li></ul></div><div><ul><li><div>
4+ years of professional experience in data engineering, ETL development, or database engineering.</div></li></ul></div><div><ul><li><div>
Strong expertise in:</div></li></ul></div><div><ul><li><div>
SQL Server and PostgreSQL</div></li></ul></div></div><div><div><ul><li><div>
Schema design, indexing strategies, query optimization, stored procedures</div></li></ul></div><div><ul><li><div>
Solid experience writing Python for:</div></li></ul></div><div><ul><li><div>
ETL workflows</div></li></ul></div><div><ul><li><div>
Data transformation</div></li></ul></div><div><ul><li><div>
Automation and system integration</div></li></ul></div><div><ul><li><div>
Experience with data modeling, data warehousing concepts, and cloud integration patterns.</div></li></ul></div><div><ul><li><div>
Proficiency with Git and standard CI/CD workflows.</div></li></ul></div><div><ul><li><div>
Strong debugging, analytical thinking, and problem-solving abilities.</div></li></ul></div><div><ul><li><div>
Ability to communicate technical concepts clearly and collaborate effectively in a distributed team.</div></li></ul></div><div><div><br>
Nice-to-Have Qualifications:</div></div><div><ul><li><div>
Hands-on experience with cloud platforms (AWS, Azure, or GCP), especially data services.</div></li></ul></div><div><ul><li><div>
Familiarity with modern ETL/ELT orchestration tools (Airflow, Prefect, Dagster, etc.).</div></li></ul></div><div><ul><li><div>
Exposure to big data frameworks such as Spark or Hadoop.</div></li></ul></div><div><ul><li><div>
Prior experience working on legacy modernization or large-scale data migration projects.</div></li></ul></div><div><ul><li><div>
Understanding of data governance, data security, and compliance standards.</div></li></ul></div></div><div>
Exciting Benefits we offer:</div><ul><li><div>
Market-leading Salary</div></li><li><div>
Medical Coverage &ndash; Self &amp; Dependents</div></li><li><div>
Parents Medical Coverage</div></li><li><div>
Provident Fund</div></li><li><div>
Employee Performance-based bonuses</div></li><li><div>
Home Internet Subsidy</div></li><li><div>
Conveyance Allowance</div></li><li><div>
Profit Sharing Plan [Tenured Employees Only]</div></li><li><div>
Life Benefit</div></li><li><div>
Child Care Facility</div></li><li><div>
Company Provided Lunch/Dinner</div></li><li><div>
Professional Development Budget</div></li><li><div>
Recreational area for in-house games</div></li><li><div>
Sporadic On-shore training opportunities</div></li><li><div>
Friendly work environment</div></li><li><div>
Leave Encashment</div></li></ul><div></div><div><i>
Disclaimer:</i><i> At Contour, we attribute our success to the unique contributions of our diverse staff. We&rsquo;re committed to fostering a culture of respect that thrives on the varied perspectives and experiences of all individuals we recruit, employ, promote, and compensate. Since day one, we&rsquo;ve adhered to a policy that champions a work environment honoring the worth and dignity of each person while being free from all forms of employment discrimination.</i></div><div></div><div><i>
In our continuous effort to promote inclusivity, we extend our commitment to individuals with special needs by providing reasonable accommodations. We actively encourage qualified individuals with special needs to apply for the various openings within our company. Should you require assistance in completing the application process or have any inquiries regarding special facilities, please do not hesitate to contact our HR team. Your unique talents and abilities are welcomed and valued here.</i></div></div><div></div>

Data Engineer

Arpatech (Pvt.) Ltd

<p><b>Key Responsibilities:</b></p><p><b>Data Pipeline Engineering</b></p><ul><li>Design and build batch and near-real-time pipelines using:</li><li>Azure Fabric Data Factory</li><li>Snowflake ingestion patterns (COPY, Snowpipe, Streams, Tasks)</li><li>Implement lakehouse-style data layers:</li><li>Raw &rarr; Curated &rarr; Consumption</li><li>Manage data structures using:</li><li>Azure Fabric OneLake</li><li>Snowflake databases, schemas, and secure objects</li></ul><p><b>Data Consolidation &amp; Modeling</b></p><ul><li>Consolidate data from multiple enterprise systems into governed datasets</li><li>Apply enterprise data modeling patterns:</li><li>Conformed dimensions</li><li>Canonical fact tables</li><li>Shared reference data</li><li>Manage schema design, evolution, and versioning for long-term stability</li></ul><p><b>Data Quality &amp; Trust</b></p><ul><li>Implement data validation for completeness, consistency, and freshness</li><li>Detect and surface data quality issues early</li><li>Partner with business teams to define clear data contracts</li></ul><p><b>Platform Optimization &amp; Operations</b></p><ul><li>Optimize performance and cost across Snowflake and Fabric through:</li><li>Partitioning, clustering, and pruning</li><li>Warehouse sizing and query tuning</li><li>Support monitoring, alerting, and incident response for data pipelines</li></ul><p><b>Required Skills &amp; Experience:</b></p><ul><li>4+ years of hands-on data engineering experience</li><li>Strong SQL skills with Snowflake</li><li>Experience building pipelines in Microsoft Azure Fabric</li><li>Solid understanding of data modeling (dimensional, canonical, wide tables)</li><li>Experience integrating data from SaaS, ERP, operational, and internal systems</li><li>Familiarity with CI/CD and source-controlled data pipelines</li><li>Ability to work independently in remote, client-embedded environments</li></ul><p><b>Nice to Have:</b></p><ul><li>Experience with Microsoft Purview, Fabric governance, or Snowflake Data Sharing</li><li>Exposure to AI/ML-ready or feature datasets</li><li>Knowledge of data quality frameworks or automated testing tools</li><li>Experience in regulated or finance-heavy environments</li></ul><p><b>Location: Onsite for KHI &amp; ISB | Remote for other cities.</b></p><p>Job Type: Full-time</p><p>Work Location: In person</p>

IBL UNISYS

<p>About IBL:</p><p>IBL-Unisys is a leading solutions and service provider in the field of technology. Globally acclaimed, highly reliable products with cutting-edge technology from the world&rsquo;s best-engineered companies and experts uniquely positioned to deliver comprehensive solutions to our customers.</p><p>Key Responsibilities:</p><p>Data Pipeline &amp; Dashboard Development</p><ul><li>Design, develop and maintain scalable &amp; efficient data pipelines to collect, process, and store structured data from multiple sources.</li><li>Build robust ETL (Extract, Transform &amp; Load) processes to support analytics and reporting needs.</li><li>Automate data workflows and ensure timely availability of data for analytics teams.</li></ul><p>Data Architecture &amp; Infrastructure</p><ul><li>Assist in developing and maintaining data architectures, including data warehouses, data lakes, and cloud-based storage solutions.</li><li>Optimize database performance, query execution, and system scalability.</li><li>Collaborate with team to ensure data integrity, quality, and security standards are met across platforms.</li></ul><p>Collaboration &amp; Support</p><ul><li>Work closely with data scientists, data analyst, and business intelligence teams to understand data requirements and deliver solutions that support analytics and reporting.</li><li>Assist with data integration projects, ensuring seamless connections between various systems and databases</li><li>Provide technical support and troubleshooting for data related issues, ensuring high data availability and accuracy.</li></ul><p>Data Governance &amp; Compliance</p><ul><li>Ensure compliance with data governance policies, security protocols, and data privacy regulations.</li></ul><p><b>Education &amp; Qualification:</b></p><ul><li>Bachelor's degree in computer science, Information Technology, Engineering, or a related field.</li><li>4 to 5 years of experience in data engineering or a related field, with proven experience in building and maintaining data pipelines, ETL processes, and data architectures.</li></ul><p><b>Experience:</b></p><ul><li>Proficiency in programming languages such as Python, SQL, and Java.</li><li>Hands on experience with data platforms and tools like Hadoop, Spark, Kafka, or similar.</li><li>Familiarity with cloud platforms like AWS, Google Cloud, or Azure.</li><li>Experience with data warehousing tools such as Redshift, BigQuery, or Snowflake.</li><li>Experience in building and managing relational &amp; NoSQL databases (e.g. MySQL, PostgresSQL, MongoDB).</li><li>Solid understanding of data modeling, database design, and ETL principles.</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

BI Data Engineer

Confiz

<div><p>We are seeking an experienced Azure Data Engineer (5+ years) with strong expertise in data warehousing on lakehouse architecture, data engineering, data quality, and governance. The ideal candidate will design and build scalable data pipelines on Microsoft Fabric, implement data quality frameworks, and operationalize governance processes using Microsoft Purview. This role combines technical delivery with data compliance, ensuring trusted and well-governed data across the organization.</p>
<p><b>Key Responsibilities</b></p>
<ul><li>Design and develop <b>batch data pipelines</b> using <b>Fabric Pipelines and PySpark</b>.</li>
<li>Implement <b>data quality rules</b>, validation checks, and monitoring dashboards.</li>
<li>Develop <b>data catalog, lineage, classification, and business glossary</b> in <b>Microsoft Purview</b>.</li>
<li>Enforce <b>data governance policies, standards, and best practices</b> across Microsoft Fabric</li>
<li>Collaborate with DevOps to automate deployments using <b>Azure DevOps</b>.</li>
<li>Integrate data quality in <b>CI/CD pipelines</b> through <b>Azure DevOps</b>.</li>
<li>Ensure compliance with <b>data privacy regulations</b> (e.g., PDPL).</li>
<li>Partner with business and data stewards to improve overall data integrity and usability.</li>
</ul>
<p><b>Required Skills &amp; Experience</b></p>
<ul><li><b>5+ years</b> of experience in data engineering, quality, and governance roles.</li>
<li>Strong hands-on experience with <b>Azure Data Factory</b>, <b>Apache Spark (PySpark)</b>, and <b>Azure Synapse/Fabric</b>.</li>
<li>Proven expertise in <b>Microsoft Purview</b> for governance and catalog management.</li>
<li>Proficient in <b>Python</b> and <b>SQL</b> for data processing and validation.</li>
<li>Understanding of <b>data quality dimensions</b>, profiling, and cleansing techniques.</li>
<li>Strong analytical, problem-solving, and communication skills.</li>
<li>Experience with <b>Great Expectations</b> or similar data validation tools is a plus.</li>
</ul>
<p><b>Preferred Qualifications</b></p>
<ul><li><b>Microsoft Certified: Fabric Data Engineer Associate</b> or equivalent certification.</li>
<li>Experience with <b>Microsoft Fabric</b> and <b>AI-driven metadata or quality tools</b>.</li>
</ul>
<p>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.</p>
<p>What makes Confiz stand out is our focus on processes and culture. Confiz is <b>ISO 9001:2015</b> (QMS), <b>ISO 27001:2022</b> (ISMS), <b>ISO 20000-1:2018</b> (ITSM), <b>ISO 14001:2015</b> (EMS), <b>ISO 45001:2018 </b>(OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.</p>
<p>People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.</p>
<p>To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</p></div>

Principal Data Engineer – Data Quality & Governance

Careem

<div><div><p>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.<br>
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.</p>
<p><b><i>
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.</i></b></p></div><div><div><b>
About the role:</b><br>
We are seeking a highly skilled and motivated Data Warehouse Engineer to join our team. As a Data Warehouse Engineer, you will play a critical role in designing, developing, and maintaining our data infrastructure, ensuring the availability, scalability, and reliability of our data systems. You will collaborate closely with cross-functional teams, including data scientists, analysts, and software engineers, to support data-driven decision-making and enable the efficient processing of large-scale data.</div>
<div></div>
<div><b>What you'll do:</b></div>
<ul><li>Design and develop robust, scalable, and high-performance data pipelines and ETL processes to extract, transform, and load data from various sources into our data warehouse or data lake.</li>
<li>Collaborate with stakeholders to understand their data requirements, and design and implement appropriate data models and database schemas to support their needs.</li>
<li>Optimize data pipelines and ETL processes for performance and efficiency, ensuring timely and accurate data delivery to end-users.</li>
<li>Monitor, troubleshoot, and resolve issues related to data quality, data consistency, and data integrity, ensuring the reliability and correctness of our data systems.</li>
<li>Implement and maintain data governance practices and policies, ensuring compliance with data privacy and security regulations.</li>
<li>Collaborate with data scientists and analysts to provide them with the necessary data infrastructure and tools for conducting advanced analytics and deriving insights.</li>
<li>Stay up-to-date with the latest trends and technologies in data engineering and recommend innovative solutions to improve data engineering processes and systems.</li>
<li>Document data engineering processes, data flows, and system architectures to ensure knowledge sharing and maintain an up-to-date repository of technical documentation.</li>
<li>Work closely with cross-functional teams, including software engineers and infrastructure teams, to optimize data infrastructure and ensure its seamless integration with other systems.</li>
</ul><div><b>What you'll need</b></div>
<ul><li>Bachelor's degree in Computer Science, Engineering, or a related field.</li>
<li>At least 6 years of experience as a Data Warehouse] Engineer or in a similar role, working with large-scale data processing and ETL pipelines.</li>
<li>Strong programming skills in languages such as Python, Java, or Scala, with experience in data manipulation and processing frameworks like Apache Spark.</li>
<li>Experience with SQL and database technologies (e.g., relational databases, SQL queries, data modeling).</li>
<li>Proficiency in working with big data technologies such as Hadoop, Hive and knowledge of distributed systems and cloud computing platforms (e.g., AWS, Azure, GCP).</li>
<li>Familiarity with data integration and workflow management tools such as Apache Airflow</li>
<li>Knowledge of data warehousing concepts and experience with data warehousing solutions is highly desirable.</li>
<li>Strong analytical and problem-solving skills, with the ability to analyze complex data-related issues and propose effective solutions.</li>
<li>Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.</li>
<li>Attention to detail and a strong commitment to delivering high-quality work within established timelines.</li>
<li>Join our dynamic team and contribute to building scalable data infrastructure that powers data analytics and decision-making processes. Apply your expertise in data engineering to help us unlock the full potential of our data assets and drive meaningful insights for our organization.</li></ul></div></div><p></p>

Senior Data Warehouse Engineer I

<div><p>We are seeking a Data Engineer with 8+ years of hands-on experience and a strong background in real-time and batch data processing, containerization, and cloud-based data orchestration. This role is ideal for someone passionate about building robust, scalable, and efficient data pipelines, and who thrives in agile, collaborative environments.</p>
<p><b>Key Responsibilities</b></p>
<ul><li>Design, build, and maintain real-time data pipelines using streaming frameworks such as Kafka, Apache Flink, and Spark Structured Streaming.</li>
<li>Develop batch processing workflows with Apache Spark (PySpark)</li>
<li>Orchestrate and schedule data workflows using orchestration frameworks such as Apache Airflow and Azure Data Factory</li>
<li>Containerize applications using Docker, manage deployments with Helm, and run them on Kubernetes</li>
<li>Implement modern storage solutions using open formats such as Parquet, Delta Lake, and Apache Iceberg</li>
<li>Build high-performance analytics engines using tools like Trino or Presto</li>
<li>Collaborate with DevOps to manage infrastructure with Terraform and integrate with CI/CD pipelines via Azure DevOps</li>
<li>Ensure data quality and consistency using tools like Great Expectations</li>
<li>Write modular, well-tested, and maintainable Python and SQL code</li>
<li>Develop an observability layer to monitor and optimize performance across data pipelines</li>
<li>Lead and mentor a team of data engineers</li>
<li>Participate in agile ceremonies and contribute to sprint planning and reviews</li>
</ul>
<p><b>Required Skills &amp; Experience</b></p>
<ul><li>Advanced Python programming with a strong focus on modular and testable code</li>
<li>Strong knowledge of SQL and experience working with large-scale datasets</li>
<li>Hands-on experience with at least one major cloud platform (Azure preferred)</li>
<li>Solid experience with real-time data processing (Kafka, Flink, or Spark Streaming)</li>
<li>Expertise in Apache Spark (PySpark) for batch processing</li>
<li>Experience implementing lakehouse architectures and working with columnar storage (e.g., ClickHouse)</li>
<li>Proficient in using Azure Data Factory or Apache Airflow for data orchestration</li>
<li>Experience in building APIs to expose large datasets</li>
<li>Solid experience with Docker, Kubernetes, and Helm</li>
<li>Familiarity with data lake open formats such as Parquet, Delta Lake, and Iceberg</li>
<li>Basic experience with Terraform for infrastructure provisioning</li>
<li>Practical experience with data quality frameworks (e.g., Great Expectations)</li>
<li>Comfortable working in agile development teams</li>
<li>Proven ability in debugging and performance tuning of streaming and batch data jobs</li>
<li>Experience with AI-driven tools (e.g., text-to-SQL) is a plus</li>
<li>Bachelor&rsquo;s degree in computer science or related discipline</li>
</ul>
<p>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.</p>
<p>What makes Confiz stand out is our focus on processes and culture. Confiz is <b>ISO 9001:2015</b> (QMS), <b>ISO 27001:2022</b> (ISMS), <b>ISO 20000-1:2018</b> (ITSM), <b>ISO 14001:2015</b> (EMS), <b>ISO 45001:2018 </b>(OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.</p>
<p>People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.</p>
<p>To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</p></div><p></p>

Associate Data Architect - Data Lake/Data Streaming

Squarera

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

Snowflake Developer

Explore 999+ Data engineer in Karachi Jobs In Karachi Jobs In Karachi this December. Find roles across top companies and apply now to boost your career.

999 data engineer jobs IN Karachi Jobs In Karachi Jobs In Karachi

Data Engineer

Data Engineer

BI Data Engineer

Principal Data Engineer – Data Quality & Governance

Senior Data Warehouse Engineer I

Associate Data Architect - Data Lake/Data Streaming

Snowflake Developer