- Location
- Bengaluru, Karnataka, India
- Job type
- Full-time
Required skills
- Python
- AWS
- Azure
- big data technologies
- cross-functional
- data engineer
- data modeling
- Databricks
- ETL
- Google Cloud
- Hadoop
- NoSQL
- Spark
- SQL
- PowerShell
About the role
Tata Consultancy Services
Website:
tcs.com
Job details:
TCS Hiring!!
Tcs is Having walkin Drive for skill Azure Data Fatory Developer AT TCS on 23rd May 2026 for Banglore Location
Exp Req:4 to 15 yrs
Np:45 Days
JD
Responsibilities:
- Data Integration: Design, develop, and maintain data integration solutions using ADF, Azure Synapse Analytics, and other Azure data services.
- ETL Development: Develop and optimize ETL workflows using ADF, Azure Databricks, and Azure Synapse Analytics.
- Data Warehousing: Work with data architects and business stakeholders to design and implement data warehousing solutions using Azure Synapse Analytics.
- Data Governance: Develop and maintain data governance policies, procedures, and standards for Azure data services.
- Collaboration: Work with cross-functional teams to identify and prioritize project requirements, provide technical guidance, and ensure data quality.
Required 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.
Preferred 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,
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