Description

You will design, build, and optimize data pipelines and ETL/ELT workflows to support analytics and reporting.

Responsibilities

• Define and evolve cloud-based data architecture, including data lakes, data warehouses, and streaming platforms.
• Partner with data scientists and analysts to deliver reliable, reusable data solutions.
• Develop and maintain scalable data storage solutions using AWS S3, Redshift, and Snowflake.
• Implement data quality checks, validation processes, and metadata documentation.
• Monitor, troubleshoot, and improve overall pipeline performance and workflow efficiency.

Required Skills

• Expert proficiency in Python and SQL.
• Strong understanding of data integration, data modeling, and SDLC.
• Hands-on experience with AWS data services (Glue, Lambda, Athena, Step Functions, Lake Formation).
• Proficiency in at least one major cloud platform (AWS preferred).
• Advanced SQL and knowledge of data warehousing (Kimball/star schema).
• Experience with relational and NoSQL databases (PostgreSQL, MySQL).
• Experience working in Agile environments.
• Experience with big data processing technologies like Spark, Hadoop, or Flink.

Key Skills

Education

Bachelor’s degree