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

- 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 efficient, 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.

Positive to Have

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

📌 Sr Data Engineering (Bengaluru)
🏢 EXL
📍 Bengaluru