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

Valuable 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 current tools/technologies to improve data platform maturity

Qualified & Technical Skills:
Lead design of scalable data pipelines and ETL/ELT frameworks across batch and streaming systems

📌 Data Engineer Bengaluru (India)
🏢 Accenture
📍 India