Google Data Engineer; GCP
Job in
560001, Vasanthanagar, Karnataka, India
Listed on 2026-08-30
Listing for:
Tata Consultancy Services
Full Time
position Listed on 2026-08-30
Job specializations:
-
IT/Tech
Data Engineering, Cloud Computing: Infrastructure & Operations, Data Warehousing
Job Description & How to Apply Below
Location: Vasanthanagar
TCS Hiring!!
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 Big Query.
Data Warehousing:
Work with data architects and business stakeholders to design and implement data warehousing solutions using Big Query 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, Big Query, 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 No
SQL databases.
Machine Learning:
Experience with machine learning frameworks, including Tensor Flow or Scikit-learn.
Cloud Experience*:
Experience with other cloud-based data platforms, including AWS or Azure
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