Description

You design, build, and maintain scalable ETL pipelines for structured and unstructured data, delivering production-grade solutions using advanced SQL and Python. This role is on-site.

Responsibilities

• Develop efficient data solutions for complex datasets and workflows.
• Support cloud data migration projects, including 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 solutions.
• Advanced proficiency in SQL and Python.
• Hands-on experience building and maintaining ETL processes in enterprise environments.
• Experience supporting cloud-based data platforms and migration initiatives (AWS, Azure, or GCP).
• Familiarity with Data Warehousing, Data Governance, and Data Quality practices.
• Bachelor’s degree in a relevant field (Any Graduate).

Preferred Skills

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

Key Skills

Education

Any Gradute