Job Description
Weekday virtual drive
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n7+ years
n21-Aug-26
n12-2pm
nHyderabad
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nWe are pleased to invite you for an interview scheduled on
nInterview Details:• Date:
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n21-Aug-2
n12-2pm
nHyderabd
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nPlease share updated resume
nName:
nContact Number:
nEmail ID:
nHighest Qualification in: (Eg. B.Tech/B.E./M.Tech/MCA/M.Sc./MS/BCA/B.Sc./Etc.)
nCurrent Organization Name:
nTotal IT Experience-7 to 10 yrs
nLOCATION TCS Hyderabab
nCurrent CTC
nExpected CTC
nNotice period:
nWhether worked with TCS - Y/N
nPlease apply only if your skill matches
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nDigital : Python(MongoDB, Python, Pyspark, Big Query, GCS)
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nRole
nMongo db GCP Data Engineer Python Pyspark Developer (BigQuery, Cloud Storage, Dataproc, Airflow)
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nRequired Technical Skill Set
nGCP Data Engineer to design, build, and optimize scalable data pipelines and analytics solutions using BigQuery, Cloud Storage, Dataproc, and Airflow.
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nDesired Experience Range
n7+ Years
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nLocation of Requirement
nHYDERABAD
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nImmediate Joiners Needed




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nDesired Competencies (Technical/Behavioral Competency)
nMust-Have
n(Ideally should not be more than 3-5)
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- GCP Services: BigQuery, Cloud Storage, Dataproc, Cloud Composer (managed Airflow) or self-managed Airflow.n
- Airflow: Solid experience in DAG creation, operators/hooks, scheduling, backfilling, retry strategies, and CI/CD for DAG deployments.n
- Programming: Proficiency in Python and Pyspark (PySpark, Airflow DAGs), SQL (advanced BigQuery SQL).n
- Data Modeling: Dimensional modeling (Star/Snowflake), data vault basics, and schema design for analytics.n
- Performance Tuning: BigQuery partitioning/clustering, predicate pushdown, job stats review, Dataproc executor tuning.n
- Version Control & CI/CD: Git, branching strategies, pipelines for deploying Airflow DAGs and config.n
- Operational Excellence: Monitoring with Stackdriver/Cloud Logging, debugging pipeline failures, an

📌 Digital: Python(MongoDB, Python, Pyspark, Big Query, GCS) (Hyderabad)
🏢 Tata Consultancy Services
📍 Hyderabad