Back
Remote role, popular Data Engineer title, and metro Bangalore location increase candidate competition.
Core data engineering skills are broadly transferable across industries despite HR analytics domain experience.
Requires AWS, Airflow, SQL and data warehouse skills but no explicit years filter.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, and maintain end-to-end scalable data pipelines and analytical data models for People Analytics using AWS (S3, APIs) and Apache Airflow.
Ensure data reliability, quality, and performance by setting up data quality guardrails, monitoring pipeline health, and debugging failures.
Collaborate with BI developers to design and implement the Semantic Layer; support backend integration for Power BI dashboards and contribute to SAP data warehouse redesign initiatives.
Strong experience in data engineering and data modelling for analytics platforms.
Hands-on experience with AWS (S3, API integrations), Apache Airflow, and advanced SQL skills.
Experience managing data warehouse or lakehouse environments and using version control tools like GitHub.
Bachelor's degree in Computer Science, Information Systems, Business Administration, or related field; certifications in Data Engineering preferred.
Experienced in building data pipelines specifically for People Analytics or HR analytics environments.
Proactive in troubleshooting, performance optimization, and cost management of cloud-based data platforms.
Comfortable operating in fast-paced environments involving evolving platforms, collaborating cross-functionally on semantic layer and SAP data products.