Back
Popular Data Engineer role with broad cloud/Python requirements increases candidate competition across markets.
Core data engineering skills (Python, SQL, cloud) are highly transferable across industries.
Explicit 6+ years requirement and mandatory Python, SQL, cloud skills create strict technical filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, and maintain scalable data pipelines and platforms handling structured and semi-structured data.
Develop and optimize ETL/ELT workflows using Python and SQL on cloud-based platforms (AWS, Azure, or GCP).
Ensure data quality, integrity, performance, and security across pipelines while supporting analytics and reporting teams.
6 to 9 years of overall experience, with at least 6 years in relevant data engineering roles.
Strong hands-on experience with Python and SQL for data processing and transformation.
Experience with cloud platforms (AWS, Azure, or GCP) and working knowledge of data lakes and warehouses.
Ability to work 5 days a week in office (location details not explicitly mentioned).
Experienced in delivering enterprise-grade, large-scale data engineering solutions in production environments.
Familiar with data modeling, schema design, performance tuning, and maintaining ETL frameworks.
Comfortable collaborating with cross-functional teams including data scientists, analysts, and application developers in a product-based or automotive-related environment.