Azure Data Engineer
Kochi, Kerala, India · Full Time
Be the first to apply
- Experience
- Any
- Salary
- —
- Openings
- 1
- Posted
- 23 तासपूर्वी
- Work mode
- In office
- Education
- Any graduate
- Eligibility
- Candidates who have completed any graduate degree can apply.
- Resume
- Required to apply
Where you'll work
Sign in to tell us what does and doesn't work for you here — it sharpens every match we show you.
Job description
Job Overview
Tata Consultancy Services (TCS) is a global IT and business solutions leader employing over 612,000 people across 55 countries with a 2023-24 revenue of USD 29.08 billion. Recognized as one of India's most respected companies and a leading equal opportunity employer, TCS delivers services across multiple domains including Cloud Infrastructure, Cybersecurity, Data and Analytics, and more.
Role Summary
The Azure Data Engineer will play a crucial role in developing and maintaining data products, working closely with data teams to build and support scalable data solutions. Responsibilities include designing and managing ETL/ELT pipelines, implementing data transformation and modeling practices, and ensuring data security and compliance. This role involves an 80/20 split between delivering new outcomes and supporting production products.
Technical Requirements
- Proficiency in Azure Databricks/Spark and Azure Data Factory is mandatory.
- Strong expertise in SQL/T-SQL and Spark programming.
- Experience with Microsoft Azure's data services such as Azure Synapse/Azure SQL Data Warehouse, Azure Analysis Services, Azure Cosmos DB, Azure EventHubs, and Power BI are advantageous.
- Familiarity with Azure Machine Learning is a plus.
- Hands-on experience with Databricks or other cloud data platforms.
- Knowledge of Terraform or other Infrastructure-as-Code tools for data platform automation.
- Certification in Azure Data Engineering (DP-203) or equivalent is preferred.
- Understanding of data lake architectures, best practices, and containerization (Docker, Kubernetes).
- Programming abilities in Python, Spark, or similar scripting languages are beneficial.
Key Responsibilities
- Develop and maintain scalable ETL/ELT pipelines using Azure Data Factory, Azure Synapse, and DBT.
- Implement data transformations, modeling, and quality control procedures effectively.
- Optimize SQL-based processes within Azure Synapse.
- Ensure data integrity, security, and governance following industry best practices.
- Collaborate with data analysts, scientists, and business stakeholders to gather and implement data requirements.
- Automate data engineering workflows and improve cloud data infrastructure performance and cost efficiency.
- Maintain and support CI/CD pipelines for data engineering solutions.
Eligibility
Applicants must possess a minimum qualification of any graduation degree.
Minimum education
Bachelor's Degree