Job Description

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 Job description 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. Good communication and interpersonal skills Robust 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