Key Responsibilities
Design, develop, and maintain ETL/ELT solutions using Azure Data Factory, Synapse Analytics, Databricks, and Informatica.
Build and manage data pipelines across Azure services including ADLS, ADF, Synapse, and Databricks.
Develop data transformation solutions using Python and PySpark.
Create and maintain data marts and reporting layers supporting business intelligence requirements.
Design and optimize complex SQL and T-SQL queries, stored procedures, and database objects.
Develop and maintain Power BI dashboards and reports for business stakeholders.
Troubleshoot data integration, performance, and data quality issues.
Perform database performance tuning, capacity planning, backup, archiving, and data lifecycle management.
Support large-scale data ingestion from multiple source systems.
Implement database security controls, user access management, and governance standards.
Collaborate with business users and technical teams to gather requirements and deliver effective data solutions.
Participate in testing, deployment, and production support activities.

Required Skills
Strong experience in ETL development using Azure Data Factory, Synapse Analytics, or Databricks.




Hands-on experience with Power BI development.
Strong knowledge of Informatica.
Experience developing ETL processes using Python and PySpark.
Solid SQL and T-SQL programming skills.
Experience with Azure Data Lake Storage (ADLS).
Minimum 5 years of experience working with large data marts and enterprise databases.
Experience in database performance tuning and optimization.
Experience supporting large-scale data warehouse and reporting environments.

Preferred Skills
Financial Services or Banking domain experience.
Azure Data Engineering certifications.
Experience with cloud-based analytics and reporting platforms.
Data governance and security experience.
Exposure to advanced analytics and data modelling.

Desired Candidate Profile
Solid analytical and problem-solving skills.
Excellent verbal and written communication skills.
Self-motivated with a strong learning mindset.
Ability to work independently and collaboratively within cross-functional teams.
Flexible and adaptable in a fast-paced environment.
Robust stakeholder management capabilities.

📌 Azure Data Engineer Hyderabad
🏢 Tata Consultancy Services
📍 Hyderabad