GCP Data Engineer

Hiring Now: GCP Data Engineer (68 Years Experience)

Location: Chennai, Hyderabad, Kolkata

Employment Type: Full-time (On-site)

We are seeking a proactive GCP Data Engineer proficient in PySpark to develop and maintain robust, large-scale data solutions.

Key Responsibilities

Data Pipeline Development: Design and implement batch and real-time data ingestion pipelines using Cloud Dataflow, Pub/Sub, and PySpark on Dataproc.

Transformation & Processing: Develop, optimize, and maintain distributed data processing jobs using PySpark and Apache Beam to clean, enrich, and aggregate massive datasets.

Data engineer with strong coding and technical architectural experience in Google Data Solution

Should be able to guide a new team to build algorithms and data products, resolve blockers and bugs and be the code custodian.

Work across the full data pipeline on projects (ingestion, data modelling, data warehousing, Data Quality validity).

Knowledge on CI/CD Pipelines

Hands-on Scheduling the Data Pipelines with dependency flow using any Cloud Services Airflow/Composer, Schedulers etc.

Preferably worked on Data Analytics Projects before

Value addition if hands-on on any of the Reporting tool Tableau /Power BI/Looker