Sr. AWS Data Engineer
Posted May 7, 2026
As a Senior AWS Data Engineer specializing in Airflow and ETL, you will be responsible for the following:
-
Experience in data engineering with a strong focus on ETL processes and data pipeline development. - Proficiency in using Airflow for orchestrating complex data workflows. - Extensive experience with AWS services such as S3, Lambda, Glue, and Redshift. - Strong programming skills in PySpark, with a deep understanding of distributed data processing. - Hands-on experience with Databricks for data processing and analytics. - Familiarity with additional big data technologies like Kafka, Hadoop, or Snowflake. - Knowledge of data visualization tools like Tableau, Power BI, or similar. - Experience with CI/CD tools and practices for data pipelines. - Certifications in AWS or Databricks are a plus. - Familiarity with SQL and relational databases for data extraction and manipulation. - Proven experience with data modeling, data warehousing, and building scalable data solutions. - Understanding of best practices in data management, including data governance and data security. - Strong problem-solving skills to troubleshoot complex data issues. - Excellent communication and collaboration skills to work effectively in a team environment. - Optimization of data pipelines for performance, scalability, and reliability. - Implementation of best practices for data governance, data quality, and data security. - Monitoring and troubleshooting of ETL processes to ensure data accuracy and integrity. - Working in an agile environment, actively participating in sprint planning, daily stand-ups, and retrospectives. - Documentation of data workflows, processes, and technical specifications for clear communication and knowledge sharing within the team. Qualifications: