Gcp Data Engineer

Job Title : GCP Data Engineer

Location: Bengaluru

Mode :Face 2 Face

Experience Range : 5 to 10 years

Date- 08 Nov 25 (Saturday)

Please apply only if you can attend In Person drive at TCS Office on 08 Nov 25 (Saturday).

If interested, Method to confirm:

Share your updated CV with the below-required details at the earliest to Pavithra.gopal@tcs.com.

After validation will share invite.

Subject line as: TCS

Name:

PAN ID:

Email:

Skill:

Contact:

Total Years of exp:

Current CTC:

Expected CTC:

Current Company:

Preferred Location:

Notice Period:

Highest qualification which is full time:

Any gaps/breaks in career/Education:

If any, please mention years and reason for gap:

Whether Interviewed by TCS within last 6 months (Yes/No):

Confirmation to attend Walkin in

Cv Attached Y/N

Key Responsibilities:

Core Responsibilities

• Design and Optimization:

  Design, implement, and optimize

  clean, well-structured, and performant analytical datasets

  to support high-volume reporting, business analysis, and data science model development.

• Pipeline Development:

  Architect, build, and maintain

  scalable and robust data pipelines

  for diverse applications, including business intelligence, advanced analytics

• Big Data & Streaming:

  Implement and support

  Big Data solutions

  for both

  batch

  (scheduled) and

  real-time/streaming

  analytics.

• Collaboration:

  Work closely with product managers and business teams to understand data requirements and translate them into technical solutions.

Required Skills & Experience

• Cloud Platform Expertise (GCP Focus):

  Extensive hands-on experience working in dynamic cloud environments, with a strong preference for

  Google Cloud Platform (GCP)

  services, specifically:

• BigQuery:

  Expert-level skills in data ingestion, performance optimization, and data modeling within a petabyte-scale environment.
• Experience with other relevant GCP services like

  Cloud Storage

  ,

  Cloud Dataflow/Beam

  , or

  Pub/Sub

• Programming & Querying:

• Python:

  Expert-level programming proficiency

  in Python, including experience with relevant data engineering libraries

• SQL:

  A

  solid command of advanced SQL

  for complex querying, data processing, and performance tuning.

• Data Pipeline Orchestration:

  Prior experience using workflow management and orchestration tools (e.g.,

  Apache Airflow

  , Cloud Composer, Airflow,Dagster, or similar).

• DevOps/CI/CD:

  Experience with version control (Git) and familiarity with CI/CD practices and tools (e.g., GitLab, GitHub Actions) to automate deployment and testing processes.