Walk-in | Tcs MEGA WALK IN DRIVE-Gcp Data Engineer

Tata Consultancy Services; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Tata Consultancy Services (TCS) in Bengaluru invites experienced GCP Data Engineer to join a mega walk-in drive on 19 Sep 2026. The role focuses on building data pipelines, warehousing with BigQuery, and cost optimization in GCP.

Ideal candidates have 4+ years of experience, strong skills in Dataflow, Cloud Composer, BigQuery, and a collaborative approach to work with cross-functional teams. Walk-in details and venue provided in the notice.

Qualifications

• Experience with GCP and data engineering concepts.
• Hands-on with data pipelines, warehousing, and governance.
• Strong communication and collaboration skills.

Responsibilities

• Data Pipeline Development: design and maintain pipelines using GCP tools.
• Data Warehousing: design/implement with BigQuery and Cloud Storage.
• Data Governance: develop and maintain data policies and standards.
• Collaboration: work with cross-functional teams to define requirements.
• Cost Optimization: optimize GCP spend and data processing efficiency.

Skills

GCP Data Eng

Data Modeling

ETL

Python/Java/SQL

Data Governance

Communication

Tools

BigQuery

Cloud Dataflow

Dataproc

Pub/Sub

Cloud Functions

Cloud Storage

Job description

TCS Hiring!!

Tcs is Having mega walkin Drive for skill GCP Data Engineer at TCS banglore location on 19 sep 2026

Exp req:4+ yrs

Venue:

Tata Consultancy Services (TCS) Brigade Bhuwalka Icon, situated at No. 1, ITPL Main Road, Pattandur Agrahara, Whitefield, Bengaluru, Karnataka, 560070

JD

Responsibilities:

• Data Pipeline Development: Design, develop, and maintain data pipelines using Google Cloud Dataflow, Cloud Composer, and BigQuery.


• Data Warehousing: Work with data architects and business stakeholders to design and implement data warehousing solutions using BigQuery and Cloud Storage.


• Data Governance: Develop and maintain data governance policies, procedures, and standards for GCP.


• Collaboration: Work with cross-functional teams to identify and prioritize project requirements, provide technical guidance, and ensure data quality.


• Cost Optimization: Optimize GCP costs and ensure data processing efficiency.

Required Skills

• Google Cloud Platform: In-depth knowledge of GCP, including Cloud Dataflow, BigQuery, Cloud Storage, and Cloud Composer.


• Data Engineering: Strong understanding of data engineering concepts, including data modeling, ETL, and data warehousing.


• Expertise in Cloud storage, Dataproc, Cloud Functions, Messaging/Streaming (pub-sub)


• Programming: Proficiency in programming languages, including Python, Java, or SQL.


• Data Governance: Familiarity with data governance frameworks, including data quality, data security, and data compliance.


• Communication: Excellent communication and collaboration skills.

Preferred Skills:

• Google Cloud Certifications: Relevant certifications, such as Google Cloud Certified - Professional Data Engineer or Google Cloud Certified - Enterprise Data Engineer.


• Big Data: Experience with big data technologies, including Hadoop, Spark, or NoSQL databases.


• Machine Learning: Experience with machine learning frameworks, including TensorFlow or Scikit-learn.


• Cloud Experience*: Experience with other cloud-based data platforms, including AWS or Azure