Back
Popular Data Engineer role, Bangalore metro, and broad multi-cloud skillset drive high competition.
Core ETL, Redshift, BigQuery, and Python skills are highly transferable across industries, lowering background sensitivity.
Mandatory AWS/GCP data platform technologies and senior data engineering experience increase filtering strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and maintain scalable ETL/ELT data pipelines on AWS (Redshift, S3, Glue) and GCP (BigQuery).
Integrate and process data from multiple sources including Google Analytics, CRM, user telemetry, and feedback for product insights.
Ensure data quality, monitoring, security, and troubleshoot data pipeline performance issues in a cloud environment.
Strong hands-on experience as a Data Engineer focused on ETL/ELT development and AWS data services (Redshift, S3, Glue).
Proficient in SQL for complex queries, data transformations, and performance optimization.
Experience with Amazon DynamoDB including backup, restore, and data extraction processes.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in managing large-scale cloud data architectures across AWS and GCP platforms, handling multi-source data integration.
Skilled in optimizing and troubleshooting production data pipelines with good knowledge of data warehousing and data modeling.
Capable of collaborating with distributed teams including analytics, CRM, and business stakeholders to deliver reliable, secure datasets.