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Simpaisa

<div>
 Job Title: Senior Database Developer (Data Warehousing &amp; Cloud Technologies)
 
 
 Job Summary:
 
 
 We are seeking an experienced Database Developer with 3-4 years of experience in data warehousing, cloud-based solutions, and modern data architecture. The ideal candidate will have hands-on expertise in Snowflake, Delta Lakes, and Data Lakes, along with strong SQL and ETL development skills. This role involves designing, optimizing, and maintaining data warehouses while ensuring scalability and performance.
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and optimize transactional databases and data warehouses.
 </li>
 <li>
 Implement modern data warehousing techniques using Snowflake, Delta Lakes, and cloud-based data solutions.
 </li>
 <li>
 Develop and optimize ETL workflows for seamless data integration.
 </li>
 <li>
 Work with big data and structured/unstructured data sources to enhance data architecture.
 </li>
 <li>
 Ensure data accuracy, consistency, and quality across systems.
 </li>
 <li>
 Monitor and improve database and query performance.
 </li>
 <li>
 Implement security measures and ensure compliance with data protection regulations.
 </li>
 <li>
 Collaborate with cross-functional teams to integrate data solutions with applications.
 </li>
 <li>
 Create and maintain technical documentation for database architectures, ETL pipelines, and best practices.
 </li>
 <li>
 Stay updated with emerging data warehousing, cloud, and analytics technologies.
 
 
 
 </li>
 </ul>
 Qualifications:
 
 
 <ul>
 <li>
 3-4 years of experience in database development and data warehousing.
 </li>
 <li>
 Strong expertise in Snowflake, Delta Lakes, Data Lakes, and cloud-based data solutions.
 </li>
 <li>
 Proficiency in SQL, PLSQL, T-SQL, and ETL frameworks.
 </li>
 <li>
 Experience with Python or scripting languages for data transformations.
 </li>
 <li>
 Familiarity with data governance, security, and compliance best practices.
 </li>
 <li>
 Ability to work independently, troubleshoot complex issues, and optimize data processes.
 </li>
 <li>
 Strong problem-solving, analytical, and communication skills.
 
 
 
 </li>
 </ul>
 Experience with BI tools (Power BI, Tableau, etc.) is a plus.
</div>

Senior Database Administrator

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

PublishEX Solutions Pvt. Ltd.

Job Title: Senior Database Developer (Data Warehousing &amp; Cloud Technologies)Job Summary: We are seeking an experienced Database Developer with 3-4 years of experience in data warehousing, cloud-based solutions, and modern data architecture. The ideal candidate will have hands-on expertise in Snowflake, Delta Lakes, and Data Lakes, along with strong SQL and ETL development skills. This role involves designing, optimizing, and maintaining data warehouses while ensuring scalability and performance.Responsibilities:<ul><li>Design, develop, and optimize transactional databases and data warehouses.</li><li>Implement modern data warehousing techniques using Snowflake, Delta Lakes, and cloud-based data solutions.</li><li>Develop and optimize ETL workflows for seamless data integration.</li><li>Work with big data and structured/unstructured data sources to enhance data architecture.</li><li>Ensure data accuracy, consistency, and quality across systems.</li><li>Monitor and improve database and query performance.</li><li>Implement security measures and ensure compliance with data protection regulations.</li><li>Collaborate with cross-functional teams to integrate data solutions with applications.</li><li>Create and maintain technical documentation for database architectures, ETL pipelines, and best practices.</li><li>Stay updated with emerging data warehousing, cloud, and analytics technologies.</li></ul>Qualifications:<ul><li>3-4 years of experience in database development and data warehousing.</li><li>Strong expertise in Snowflake, Delta Lakes, Data Lakes, and cloud-based data solutions.</li><li>Proficiency in SQL, PLSQL, T-SQL, and ETL frameworks.</li><li>Experience with Python or scripting languages for data transformations.</li><li>Familiarity with data governance, security, and compliance best practices.</li><li>Ability to work independently, troubleshoot complex issues, and optimize data processes.</li><li>Strong problem-solving, analytical, and communication skills.</li><li>Experience with BI tools (Power BI, Tableau, etc.) is a plus.</li></ul>Job Type: Full-timeWork Location: In person

Enterprise64

<div>Overview 
Enterprise64 is a U.S.-based technology company that creates digital solutions for startups to Fortune 500 companies in the United States, Europe, and the United Arab Emirates. We are growing rapidly across all our global offices and have career opportunities for tech professionals who are looking to work in a fast-growing company, work in a fun environment, be challenged, grow, and fast-track their careers.
Job Overview 
We are hiring a Senior Python Backend Developer to join our dynamic team (Contract Role). The ideal candidate will have strong expertise in backend development, API design, and database optimization, ensuring high-performance, scalable, and secure applications. You will collaborate with cross-functional teams to build efficient, maintainable, and reliable backend solutions that drive our innovative products.
Key Responsibilities<ul><li>
Design, develop, and maintain ETL pipelines for large-scale data processing and integration.</li><li>
Work with AWS Glue, PySpark, and Apache Spark to process structured and unstructured data efficiently.</li><li>
Build and optimize data ingestion workflows from multiple sources into data lakes and warehouses.</li><li>
Ensure data quality, consistency, and reliability through validation and monitoring.</li><li>
Collaborate with cross-functional teams, including data scientists, analysts, and backend engineers, to deliver scalable data solutions.</li><li>
Implement and manage data transformation and schema evolution using AWS services (Glue, S3, Lambda, Redshift, etc.).</li><li>
Optimize Spark jobs for performance and cost efficiency.</li><li>
Develop and maintain metadata management and data cataloging in AWS Glue.</li><li>
Ensure adherence to data security, compliance, and governance best practices.</li><li>
Use Python for automation, data manipulation, and integration tasks.</li><li>
Implement CI/CD pipelines for data workflows and maintain infrastructure-as-code (IaC) using tools like Terraform or CloudFormation (a plus).</li></ul> 
Preferred Qualifications<ul><li>
Strong expertise in Python and PySpark for large-scale data processing.</li><li>
Hands-on experience with AWS Glue, AWS Lambda, S3, and Redshift.</li><li>
Solid understanding of ETL frameworks, data modeling, and data warehousing concepts.</li><li>
Experience with Apache Spark and distributed computing principles.</li><li>
Familiarity with workflow orchestration tools (e.g., Airflow, Step Functions).</li><li>
Knowledge of SQL and NoSQL databases for data querying and optimization.</li><li>
Strong problem-solving and debugging skills for data-intensive applications.</li><li>
Experience working in agile environments and collaborating with cross-functional teams.</li></ul></div>

Senior Python Developer - Contractor

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

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

Data Engineer

<div><h4 class="jobSectionHeader">We are looking for a Data Engineer with 3&ndash;4 years of experience in data engineering, data integration, or a related role.</h4>
<h4 class="jobSectionHeader">Responsibilities</h4>
<ul>
<li>Develop scalable ETL processes using Spark, Hadoop, and other big data technologies.
</li>
<li>Design, test, and maintain pipelines that transform raw data into structured formats for analysis and reporting.
</li>
<li>Utilize tools such as Hive, HBase, MapReduce, and Spark for both real-time and batch data processing.
</li>
<li>Manage and optimize relational and NoSQL databases (including Vertica) and write complex SQL queries for data manipulation.
</li>
<li>Automate data workflows and routine processes through shell scripting and related automation tools.
</li>
<li>Enhance performance, scalability, and cost efficiency across data storage, retrieval, and transformation layers.
</li>
<li>Partner with data analysts, data scientists, and business teams to deliver reliable, high-quality data solutions.
</li>
<li>Monitor ETL processes for data accuracy, troubleshoot issues, and ensure data integrity across environments.
</li>
<li>Maintain detailed documentation of pipelines, workflows, and processes for transparency and continuity.</li></ul> 

<h4 class="jobSectionHeader">Requirements:</h4>
<ul>
<li>3&ndash;4 years of experience in data engineering, data integration, or a similar role.
</li>
<li>Strong hands-on experience with the Hadoop ecosystem (HDFS, Hive, HBase, MapReduce).
</li>
<li>Proficiency in Apache Spark for large-scale data processing.
</li>
<li>Advanced SQL skills and experience working with Vertica and other relational/NoSQL databases.
</li>
<li>Familiarity with ETL processes, data integration, and transformation best practices.
</li>
<li>Proficiency in shell scripting for automating data workflows.
</li>
<li>Experience with data pipeline orchestration tools (e.g., Airflow, Oozie, or similar) is a plus.
</li>
<li>Strong problem-solving and troubleshooting skills with high attention to detail.</li></ul></div><div></div>

Senior Consultant Data Analytics

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211 etl developer jobs IN Karachi

Senior Database Administrator

Snowflake Developer

Senior Database Administrator

Senior Python Developer - Contractor

Principal Data Engineer

Data Engineer

Senior Consultant Data Analytics