GCP Data Engineer

Location: Vasanthanagar

Job Description About 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  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 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

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
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  (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…