GCP Data Engineer
Merkle (a dentsu company) (company site, opens in a new tab)On-siteDirect career pageEst. 8–16 LPA
Posted on 23 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and optimize scalable ETL/ELT data pipelines on Google Cloud Platform (GCP).
- Develop modular Python applications for data ingestion, orchestration, and transformation.
- Architect and maintain data solutions using GCP services like BigQuery, Cloud Functions, Cloud Run, Cloud Composer, Pub/Sub, Eventarc, and DataForm; automate deployment with CI/CD using Cloud Build.
Minimum Requirements
- Bachelor’s or Master’s degree or equivalent.
- GCP Professional Data Engineer certification required; Snowflake Associate/Core certification preferred.
- Work Experience Required: Not explicitly mentioned in the JD.
- Must be available for shift timings 12 PM to 9 PM and/or 2 PM to 11 PM IST.
Ideal Candidate Profile
- Experienced in designing event-driven and real-time data processing architectures on GCP.
- Skilled in managing data pipeline performance, scalability, cost optimization, and enforcing data quality and governance.
- Capable of working cross-functionally to translate business requirements into scalable data solutions and maintaining detailed technical documentation.