Gcp Data Engineer

Greetings from TCS!!!

Come and join us for an exciting career with TCS!!!

Role:

Desired Experience Range:

Location:

Date

Must Have Experiences and Skills:

Data Engineer

We are looking for a highly skilled and motivated Data Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining scalable data infrastructure that drives business intelligence, advanced analytics, and machine learning initiatives. You must be comfortable working autonomously, navigating complex challenges, and driving projects to successful completion in a dynamic cloud environment.

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.