About the role
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 at scale. As AI reshapes industries, TCS is helping businesses turn data into their most powerful competitive advantage.
Title Description for Opportunity :
Role Name: Google Data Engineer
Responsibilities:
· Design, develop, and maintain scalable data pipelines using GCP services such as BigQuery, Dataflow, Dataproc, Cloud Storage, Cloud Composer, and Pub/Sub to support enterprise analytics and reporting
· Build and optimize ETL/ELT solutions, data models, and data warehouses, ensuring high performance, reliability, and efficient data processing across large-scale datasets.
· Implement data governance, security, and quality frameworks, ensuring compliance with organizational standards and regulatory requirements
· Develop cloud-native solutions using Python, SQL, Spark, and Big Data technologies, while supporting real-time and batch data integration requirements.
· Collaborate with cross-functional teams, data scientists, and business stakeholders to deliver scalable data platforms, support analytics initiatives, and drive cloud modernization programs.
Must Have 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.
•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
Location: PAN INDIA
- Experience Range: 4 to 10 years
- Qualifications: Any Technical Degree(BE/B,Tech/M.tech/MCA/BCA/BSC/Diploma/Masters)
- Certifications: Relevant certifications, such as Databricks Certified Developer or Databricks Certified Data Scientist
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 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 Alstom’s 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…
Big Bet hiring page link:
- TCS Data and Analytics Careers