Description

The ideal candidate will collaborate with solution architects, data modellers, and stakeholders to deliver reliable, scalable, and high-performance data solutions that support enterprise-wide data initiatives.

Responsibilities

Experience in data migration and modernization projects will be preferred.

- 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.

Qualifications

Excellent communication, interpersonal, custSkills 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.
- Robust 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.omer service skills. 2 - 5 Years

📌 Assistant Manager (India)
🏢 EXL
📍 India