Description

You design, build, and maintain scalable ETL pipelines for structured and unstructured data.

Responsibilities

• Develop efficient, reliable data solutions using advanced SQL and Python.
• Support cloud data migration projects, including data mapping, transformation, validation, and optimization.
• Partner with cross-functional teams to improve data quality, accessibility, and platform performance.
• Contribute to best practices in data engineering, documentation, testing, and deployment.

Required Skills

• 5+ years of experience as a Data Engineer delivering production-grade data solutions.
• Advanced proficiency in SQL and Python for complex data sets and workflows.
• Hands-on experience building and maintaining ETL processes in enterprise environments.
• Experience supporting cloud-based data platforms and migration initiatives.
• Familiarity with Data Warehousing, Data Governance, and Data Quality practices.
• Experience with AWS, Azure, or GCP.

Preferred Skills

• Experience with data warehousing, orchestration, and pipeline automation tools.
• Experience working in regulated environments.

Key Skills

Education

Any Gradute