Google Data Engineer(GCP)(candidates with 6+ yrs exp only)

Tata Consultancy Services; Bengaluru; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

Tata Consultancy Services in Bengaluru is hosting a walk-in for a Google Data Engineer with 6–15 years of experience. The role focuses on data pipelines in GCP, warehousing with BigQuery, and governance across cloud data platforms.

Key duties include collaboration with cross-functional teams, cost optimization, and ensuring data quality. Proficiency in Python/Java/SQL and cloud tooling is required, with preference for GCP certifications.

Qualifications

• Proficient in Google Cloud Platform services (Dataflow, BigQuery, Cloud Storage, Cloud Composer).
• Strong data engineering background including ETL, data modeling, and warehousing.
• Experience with data governance, data quality, and compliance.

Responsibilities

• Data Pipeline Development: design, develop, and maintain data pipelines using GCP tools.
• Data Warehousing: design and implement warehousing solutions with BigQuery and Cloud Storage.
• Data Governance: develop and maintain governance policies and standards for GCP.
• Collaboration: work with cross-functional teams to identify requirements and ensure data quality.
• Cost Optimization: optimize GCP costs and improve processing efficiency.

Skills

GCP expertise

Data engineering

Python/Java/SQL

ETL

Data warehousing

Data governance

Tools

Cloud Dataflow

Cloud Composer

BigQuery

Cloud Storage

Dataproc

Pub/Sub

Job description

TCS is having walkin Drive At TCS Banglore location on 8 Aug 2026 for skill Google Data Engineer

Exp Req:6 to 15 yrs

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