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.
- Solid 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.
- Good communication and stakeholder management abilities.
- Ability to work independently and within Agile teams.
- Proactive approach toward process improvement and automation.

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