Key Responsibilities

- Design, develop, and maintain scalable ETL/ELT pipelines and data processing workflows on Azure-based data platforms.

- Develop high-performance data engineering solutions using Python, PySpark, SQL, PL/SQL, and Azure Databricks while ensuring data quality and reliability.

- Collaborate with business stakeholders, solution architects, and data modellers to translate business requirements into scalable technical solutions.

- Support data migration, modernization, optimization, and performance tuning initiatives while following engineering best practices.

Skills Required

- 3+ yrs of Strong hands-on experience in Python, PySpark, SQL, PL/SQL, and Azure Databricks for developing scalable data engineering solutions.

- Good understanding of ETL/ELT frameworks, distributed data processing, Azure data services, and performance optimization techniques.





- Experience building and maintaining enterprise-grade data pipelines, data integration solutions, and cloud-based data platforms.

- Ability to troubleshoot complex data engineering issues and write productive, optimized code for large-scale data processing.

- Strong analytical and problem-solving skills with the ability to deliver scalable, high-quality data solutions.

- Excellent communication and stakeholder management skills, with experience working collaboratively in Agile cross-functional teams.

Good to Have

- Experience working with Microsoft Access (AccessDB) and VBA Macros for legacy application support, automation, or migration projects.

📌 Data Engineer - Azure data bricks (India)
🏢 EXL
📍 India