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: Azure Data Factory Developer
Responsibilities:
· Design and develop data integration and ETL/ELT pipelines using Azure Data Factory, Azure Synapse Analytics, and Azure data services.
· Build scalable data warehouse and analytics solutions leveraging Azure Synapse, Databricks, Cosmos DB, and Blob Storage.
· Develop real-time data processing solutions using Azure Stream Analytics and Event Hubs for streaming and event-driven architectures.
· Implement cloud and big data solutions using Python, SQL, Spark, Hadoop, and NoSQL technologies while ensuring performance and reliability.
· Collaborate with stakeholders and cross-functional teams to deliver data-driven solutions, maintain data governance standards, and support advanced analytics initiatives
Must Have Skills:
•Azure Data Factory: In-depth knowledge of ADF, including data integration, ETL development, and pipeline orchestration.
•Azure Synapse Analytics: Strong understanding of Azure Synapse Analytics, including data warehousing, data modeling, and data querying.
•Azure Data Services: Familiarity with Azure data services, including Azure Databricks, Azure Cosmos DB, and Azure Blob Storage.
•Expertise in Azure Stream Analytics & Event Hubs
•Programming: Proficiency in programming languages, including Python, PowerShell, or SQL.
•Communication: Excellent communication and collaboration skills.
•Azure Certifications: Relevant certifications, such as Azure Data Engineer Associate or Azure Data Scientist Associate.
•Cloud Experience: Experience with cloud-based data platforms, including AWS or Google Cloud.
•Big Data: Experience with big data technologies, including Hadoop, Spark, or NoSQL databases.
•Data Science: Experience with data science tools, including Python, R,
Preferred Skills:
•Apache Spark Certifications: Relevant certifications, such as Apache Spark Certification or Cloudera Certified Spark Developer.
•Big Data: Experience with big data technologies, including Hadoop, HBase, or Cassandra.
•Machine Learning: Experience with machine learning frameworks, including TensorFlow, PyTorch, or Scikit-learn.
•Data Science: Experience with data science tools, including Jupyter Notebook, Pandas, or NumPy
Location: PAN INDIA
- 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 ID Proof (Passport / Driving License / Aadhar Card / PAN Card)
- PAN Card
- Marksheet
- Work experience letters
- Last 3 months pa y 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