Senior Data Engineer

Senior Data Engineer
Remote
Contract: 2+ months -extendable
Role Description

We are looking for a skilled Senior Data Engineer to modernize and build scalable data pipelines using a modern data stack. You will transform legacy ETL systems into efficient, production-grade workflows while ensuring data quality, reliability, and performance. This role focuses on building robust, maintainable pipelines and enabling data-driven decision-making across the organization.

Qualifications

• 5+ years of experience in Data Engineering or ETL development
• Strong expertise in Python and SQL (advanced queries, optimization)
• Experience designing and maintaining ETL/ELT pipelines
• Hands-on experience with orchestration tools (Airflow, Dagster, etc.)
• Experience with modern data tools (dbt, Kafka, Apache NiFi)
• Strong understanding of data modeling (star/snowflake schemas)
• Experience with CI/CD, version control, and testing in data workflows

Responsibilities

• Migrate legacy ETL pipelines (Talend) to modern tools like Python, dbt, and Airflow
• Build and maintain scalable data ingestion and processing pipelines
• Implement data validation, transformation, and quality checks
• Monitor pipelines, troubleshoot issues, and optimize performance
• Collaborate with cross-functional teams (QA, analysts, architects)
• Maintain clear documentation for pipelines and data workflows

Must Have

• Strong Python and SQL coding skills (production-level)
• Experience with data pipeline orchestration and automation
• Hands-on experience with batch and streaming data systems
• Strong debugging, troubleshooting, and root cause analysis skills
• Ability to build scalable, reliable, and maintainable data systems

Nice to have

• Experience with Databricks, Spark, and Delta Lake
• Familiarity with Kafka and real-time data streaming
• Experience with data quality frameworks and governance
• Understanding of data lineage, partitioning, and incremental models
• Experience working in Agile environments

Job Types: Full-time, Contract

Work Location: Remote