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 collaborative 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.