Job Description

Weekday virtual drive

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7+ years

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21-Aug-26

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12-2pm

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Hyderabad

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We are pleased to invite you for an interview scheduled on

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Interview Details:• Date:

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21-Aug-2

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12-2pm

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Hyderabd

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Please share updated resume

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Name:

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Contact Number:

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Email ID:

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

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Current Organization Name:

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Total IT Experience-7 to 10 yrs

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LOCATION TCS Hyderabab

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Current CTC

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Expected CTC

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Notice period:

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Whether worked with TCS - Y/N

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Please apply only if your skill matches

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Digital : Python(MongoDB, Python, Pyspark, Big Query, GCS)

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Role**

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Mongo db GCP Data Engineer Python Pyspark Developer (BigQuery, Cloud Storage, Dataproc, Airflow)

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Required Technical Skill Set**

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GCP Data Engineer to design, build, and optimize scalable data pipelines and analytics solutions using BigQuery, Cloud Storage, Dataproc, and Airflow.

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Desired Experience Range**

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7+ Years

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Location of Requirement

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HYDERABAD

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Immediate Joiners Needed

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Desired Competencies (Technical/Behavioral Competency)

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Must-Have**

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(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.
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- Airflow: Robust experience in DAG creation, operators/hooks,



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

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- Streaming: Pub/Sub, Dataflow (Apache Beam) for near real-time pipelines.
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- Orchestration Patterns: Event-driven pipelines, dependency management, and cross-environment promotion.
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- Data Governance: Catalog/lineage tools (e.g., Data Catalog), PII handling, row-level security, column-level encryption.
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- Containers & Infra: Docker, Terraform for IaC on GCP; Kubernetes concepts.
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- BI Integration: Experience integrating with Looker, Tableau, or Power BI.
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- Certifications: Google Professional Data Engineer / Cloud Architect.
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📌 Digital: Python(MongoDB, Python, Pyspark, Big Query, GCS) (Hyderabad)
🏢 Tata Consultancy Services
📍 Hyderabad