Job DescriptionJob 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.

N:Role Name: MLOps Developer

NExp req:4+

NInterview veneue:

NThe Tata Consultancy Services (TCS) Brigade Bhuwalka Icon, situated at No. 1, ITPL Main Road, Pattandur Agrahara, Whitefield, Bengaluru, Karnataka, 560069

NJob description

nResponsibilities:

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- Data Pipeline Development: Design, develop, and maintain data pipelines using Google Cloud Dataflow, Cloud Composer, and BigQuery.
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- Data Warehousing: Work with data architects and business stakeholders to design and implement data warehousing solutions using BigQuery and Cloud Storage.
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- Data Governance: Develop and maintain data governance policies, procedures, and standards for GCP.
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- Collaboration: Work with cross-functional teams to identify and prioritize project requirements, provide technical guidance, and ensure data quality.
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- Cost Optimization: Optimize GCP costs and ensure data processing efficiency.
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nRequired Skills:

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- Google Cloud Platform: In-depth knowledge of GCP, including Cloud Dataflow, BigQuery, Cloud Storage, and Cloud Composer.
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- Data Engineering: Strong understanding of data engineering concepts, including data modeling, ETL, and data warehousing.
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- Expertise in Cloud storage, Dataproc, Cloud Functions, Messaging/Streaming (pub-sub)
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- Programming: Proficiency in programming languages, including Python, Java, or SQL.
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- Data Governance: Familiarity with data governance frameworks,



including data quality, data security, and data compliance.
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- Communication: Excellent communication and collaboration skills.
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nPreferred Skills:

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- Google Cloud Certifications: Relevant certifications, such as Google Cloud Certified - Professional Data Engineer or Google Cloud Certified - Enterprise Data Engineer.
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- Big Data: Experience with big data technologies, including Hadoop, Spark, or NoSQL databases.
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- Machine Learning: Experience with machine learning frameworks, including TensorFlow or Scikit-learn.
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- Cloud Experience*: Experience with other cloud-based data platforms, including AWS or Azure
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- Experience Range: 4 to 10 years
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- Qualifications: Any Technical Degree(BE/B,Tech/M.Tech/MCA/BCA/BSC/Diploma/Masters)
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nEligibility:

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- 15 years of full-time education.
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- Good communication and interpersonal skills
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- Strong verbal and written communication skills
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- Willingness to work in a collaborative and energetic environment
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- Relevant experience as per the job requirements (if applicable)
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nDocuments requiredfor interview:

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- TCS Online Application Form
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- Resume
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- Govt.Photo ID Proof (Passport / Driving License / Aadhar Card / PAN Card)
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- PAN Card
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- Marksheet
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- Work experience letters
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- Last 3 months pay slips.
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nUnit level assets: Solution- can be used as per opening

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- TCS Data Modernization Service on AWS
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nResearch insights/Blogs - First 2 articles will go with any AI opening

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- Modernise ETL systems for a successful AI-first operating model
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nCase studies-

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- TCS accelerates Alstomsdigital transformation with a future-ready Data Integration Backbone
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nLeadership Video- should go with any Data analytics opening, latest video

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- The Future of AI is Built on Data. And It Starts Here- Satish Byravan, Global Head of Data & Analyt...
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📌 Gcp Data Engineer (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru