Key Responsibilities

- Design, develop, and maintain scalable data pipelines using Azure Data Factory (ADF).

- Perform data extraction, transformation, and loading (ETL/ELT) for business reporting and analytics requirements.

- Migrate databases and data workloads from AWS environments to Azure platforms.

- Implement robust and scalable data solutions on Azure Cloud.

- Develop automation and data processing scripts using Python.

- Write, optimize, and maintain complex SQL queries, stored procedures, and database objects.

- Monitor data pipelines and troubleshoot performance bottlenecks.

- Conduct database and query performance tuning to improve system efficiency.

- Work closely with business stakeholders, architects, and development teams to understand data requirements.

- Ensure data quality, reliability, and governance across data platforms.

Required Skills

- 3+ years of experience as a Data Engineer.

- Strong expertise in Azure Data Factory (ADF).





- Hands-on experience with SQL development and query optimization.

- Proficiency in Python scripting and data processing.

- Experience building and maintaining Azure data pipelines.

- Experience in AWS to Azure data migration projects.

- Knowledge of Azure monitoring and performance tuning practices.

Preferred Skills

- Azure Synapse Analytics.

- Azure Data Lake Storage (ADLS).

- ETL/ELT development experience.

- Azure SQL Database.

- Cloud migration and modernization projects.

- Data warehousing concepts and best practices.

Desired Candidate Profile

- Strong analytical and problem-solving skills.

- Valuable communication and stakeholder management abilities.

- Ability to work independently and within Agile teams.

- Proactive approach toward process improvement and automation.

📌 Azure Data Engineer (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru