BigQuery, Cloud Storage, Dataproc, Airflow GCP Data Engineer To design

28 Wed 12 to 1 PM

Hyderabad

6 - 8 Years

Immediate Joiners

29 Thur 12 to 1 PM

Hyderabad

6 - 8 Years

Immediate Joiners

30 Friday 12 to 1 PM

Hyderabad

6 - 8 Years

Immediate Joiners

NOTE: If the skills/profile matches and interested, please reply to this email by attaching your latest updated CV and with below few details:

Name:

Contact Number:

Email ID:

Highest Qualification in: (Eg. B.Tech/B.E./M.Tech/MCA/M.Sc./MS/BCA/B.Sc./Etc.)

Current Organization Name:

Total IT Experience- 7+ Yrs

Location: Hyderabad

Current CTC

Expected CTC

Notice period:

Whether worked with TCS - Y/N

GCP Services: BigQuery, Cloud Storage, Dataproc, Cloud Composer (managed Airflow) or self-managed Airflow. • Airflow: Strong experience in DAG creation, operators/hooks, scheduling, backfilling, retry strategies, and CI/CD for DAG deployments. • Programming: Proficiency in Python (PySpark, Airflow DAGs), SQL (advanced BigQuery SQL). • Data Modeling: Dimensional modeling (Star/Snowflake), data vault basics, and schema design for analytics. • Performance Tuning: BigQuery partitioning/clustering, predicate pushdown, job stats review, Dataproc executor tuning. • Version Control & CI/CD: Git, branching strategies, pipelines for deploying Airflow DAGs and config. • Operational Excellence: Monitoring with Stackdriver/Cloud Logging, debugging pipeline failures, and root-cause analysis. • involves end-to-end ownership of data ingestion, transformation, orchestration, and performance tuning for batch and near real-time workflows