About the job :

We are seeking a Senior GCP Data Engineer with 4 to 8 years experience to design, build, and operate scalable batch and real-time data pipelines on Google Cloud Platform (GCP).

The ideal candidate has strong foundations in cloud-native data engineering, is highly self-driven, accountable, and excels as a cooperative team player in Agile environments.

Key Responsibilities :

- Design, develop, and maintain batch and real-time ETL/ELT pipelines on GCP.
- Build and optimize data pipelines using Python.
- Implement streaming solutions using Pub/Sub and Dataflow.
- Develop and manage batch workflows using Cloud Composer.
- Design and optimize data models and queries in BigQuery.
- Work with large-scale, low-latency data stores such as Bigtable.
- Ensure data quality, reliability, performance, and scalability.
- Manage source code, reviews, and collaboration using GitHub.
- Build and maintain CI/CD pipelines using GitHub Actions.
- Collaborate with product, platform, and analytics teams in an Agile setup.





Required Skills &

Qualifications :

- Strong hands-on experience with Google Cloud Platform (GCP).
- Proven expertise in batch and real-time data pipelines.
- Strong programming experience in Python.
- Hands-on experience with BigQuery, Bigtable, Pub/Sub, Dataflow, and Cloud Composer.
- Solid understanding of data modeling, ETL/ELT, and distributed data systems.
- Proficiency with GitHub and GitHub Actions-based CI/CD.
- Experience working in Agile environments.
- Strong knowledge of data security and access management.

Nice to Have :

- Experience with data governance, lineage, and observability tools.
- Exposure to large-scale analytics or enterprise data platforms.

Technical Skills :

- Primary Skills: GCP, Bigdata, PySpark, Bigquery, Composer, Python.
- Secondary Skills: SQL, Spark/Python.
- Good to Have: Gen AI.

📌 Impetus - Senior Data Engineer - Google Cloud Platform (India)
🏢 Impetus Technologies
📍 India