Posted 30 August, 2026
Google Data Engineer(GCP)(candidates with 6+ yrs exp only)
Tata Consultancy Services
VasanthaNagar, KA, IN
Full Time
Reference: 49824c469a3119c8
Job Description
TCS Hiring!!
\nTCS is having walkin Drive At TCS Banglore location on 8 Aug 2026 for skill Google Data Engineer
\nExp Req:6 to 15 yrs
\nJD
\nResponsibilities:
\n- \n
- Data Pipeline Development: Design, develop, and maintain data pipelines using Google Cloud Dataflow, Cloud Composer, and BigQuery. \n
- Data Warehousing: Work with data architects and business stakeholders to design and implement data warehousing solutions using BigQuery and Cloud Storage. \n
- Data Governance: Develop and maintain data governance policies, procedures, and standards for GCP. \n
- Collaboration: Work with cross-functional teams to identify and prioritize project requirements, provide technical guidance, and ensure data quality. \n
- Cost Optimization: Optimize GCP costs and ensure data processing efficiency. \n
Required Skills:
\n- \n
- Google Cloud Platform: In-depth knowledge of GCP, including Cloud Dataflow, BigQuery, Cloud Storage, and Cloud Composer. \n
- Data Engineering: Strong understanding of data engineering concepts, including data modeling, ETL, and data warehousing. \n
- Expertise in Cloud storage, Dataproc, Cloud Functions, Messaging/Streaming (pub-sub) \n
- Programming: Proficiency in programming languages, including Python, Java, or SQL. \n
- Data Governance: Familiarity with data governance frameworks, including data quality, data security, and data compliance. \n
- Communication: Excellent communication and collaboration skills. \n
Preferred Skills:
\n- \n
- Google Cloud Certifications: Relevant certifications, such as Google Cloud Certified - Professional Data Engineer or Google Cloud Certified - Enterprise Data Engineer. \n
- Big Data: Experience with big data technologies, including Hadoop, Spark, or NoSQL databases. \n
- Machine Learning: Experience with machine learning frameworks, including TensorFlow or Scikit-learn. \n
- Cloud Experience*: Experience with other cloud-based data platforms, including AWS or Azure \n