Job DescriptionAbout the Unit: TCS Data & Analytics is powering the AI revolution by transforming data into a strategic enterprise asset. Built on the philosophy of Smart Data for Smarter AI, it enables organisations to create intelligent, AI-ready ecosystems that accelerate innovation, unlock new value, and drive business transformation at scale. As AI reshapes industries, TCS is helping businesses turn data into their most powerful competitive advantage. :Role Name: MLOps Developer Exp req:4+ Interview veneue: The Tata Consultancy Services (TCS) Brigade Bhuwalka Icon, situated at No. 1, ITPL Main Road, Pattandur Agrahara, Whitefield, Bengaluru, Karnataka, 560069 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
- Experience Range: 4 to 10 years
- Qualifications: Any Technical Degree(BE/B,Tech/M.tech/MCA/BCA/BSC/Diploma/Masters) Eligibility:
- 15 years of full-time education.
- Valuable communication and interpersonal skills
- Strong verbal and written communication skills
- Willingness to work in a collaborative and dynamic environment
- Relevant experience as per the job requirements (if applicable) Documents required for interview:
- TCS Online Application Form
- Resume
- Govt. Photo ID Proof (Passport / Driving License / Aadhar Card / PAN Card)
- PAN Card
- Marksheet
- Work experience letters
- Last 3 months pay slips .

Unit level assets: Solution- can be used as per opening - TCS Data Modernization Service on AWS Research insights/Blogs - First 2 articles will go with any AI opening - Modernise ETL systems for a successful AI-first operating model Case studies- - TCS accelerates Alstoms digital transformation with a future-ready Data Integration Backbone Leadership Video- should go with any Data analytics opening, latest video - The Future of AI is Built on Data.

And It Starts

Here- Satish Byravan, Global Head of Data & Analyt...

📌 GCP Data Engineer (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru