Senior GCP Data Engineer

Job Title : Senior Data Engineer (L4) – Python & GCP

Experience : 7+ years

Location : Hyderabad

Overview :

We’re looking for an experienced Senior Data Engineer skilled in Python and Google Cloud Platform (GCP) to design and maintain scalable ETL data pipelines . You’ll work with various GCP services, manage data flows, ensure data quality, and support analytics and data science teams with reliable data solutions.

Key Responsibilities :

Design, build, and maintain ETL pipelines using Python .

Work with GCP services such as Dataflow , BigQuery , Cloud Functions , Cloud Composer , GCS , and IAM .

Develop and manage data ingestion , transformation , and cleansing processes.

Use tools like Apache Spark , Kafka , Airflow , and FastAPI for data processing and orchestration.

Work with databases (SQL Server, Oracle, PostgreSQL, MongoDB, Redis).

Write and optimize SQL queries for data validation and reporting.

Collaborate with data scientists and analysts to deliver high-quality data solutions.

Use GitHub for version control and contribute to CI / CD pipelines .

Create documentation for data pipelines and workflows.

Required Skills :

7–10 years of experience in Python development for data engineering.

Strong hands-on experience with GCP (Dataflow, BigQuery, Cloud Functions, Composer, GCS).

Expertise in data pipelines , ETL processes , and data integration .

Knowledge of Spark , Kafka , Redis , FastAPI , and Airflow .

Strong SQL skills with enterprise databases.

Experience migrating data from on-premise to cloud .

Familiarity with GitHub and CI / CD practices .

Nice to Have :

Experience with Snowflake , Databricks , Azure Data Factory , or GKE / Cloud Run deployments.