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Mid-level data engineer in Bangalore with common AWS pipeline skills creates high applicant competition.
Core AWS data engineering skills are highly transferable across industries.
Mandatory 2-5 years and specific AWS Glue/Airflow pipeline experience enforces moderate shortlisting filters.
Build and maintain data pipelines using AWS services such as S3, Glue, Step Functions, and Airflow.
Work independently with Guardant’s data engineering team to support ongoing data engineering initiatives.
Implement API-based data ingestion to handle various data sources relevant to customer engagement.
2-5 years of experience in data engineering with hands-on AWS cloud services (S3, Glue, Step Functions, Airflow).
Experience in building and maintaining data pipelines and API-based data ingestion.
Basic understanding of customer engagement data (PLD, non-PLD, field data, third-party media/vendor data) is beneficial but not mandatory.
Work Experience Required: 2-5 years. Preferred locations: Bangalore, Indore, Pune.
Experienced in operating independently within collaborative data engineering teams.
Comfortable working on AWS cloud technologies and data pipeline automation tools.
Familiarity or willingness to learn customer engagement data context related to marketing and media data.