Data Engineer

Project Role : Data Engineer


Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.


Must have skills : Data Engineering


Good to have skills : NA
Minimum
12 year(s) of experience is required


Educational Qualification : 15 years full time education

Summary:
Lead design of scalable data pipelines and ETL/ELT frameworks across batch and streaming systems

Roles Responsibilities:

Define data engineering standards, best practices, and governance frameworks for the team

Architect and optimize data lake/warehouse solutions (e.g., Snowflake, BigQuery, Redshift) for performance and cost

Mentor junior data engineers and review designs/code for quality and scalability

Partner with Data Science/AI teams to ensure data readiness for ML pipelines

Drive adoption of data quality, lineage, and observability tooling

Own end-to-end delivery of complex, cross-functional data infrastructure projects

Evaluate and introduce new tools/technologies to improve data platform maturity

Professional Technical Skills:

Lead design of scalable data pipelines and ETL/ELT frameworks across batch and streaming systems




Qualification 15 years full time education