Opening For Data Engineering - Azure Databricks

EXL; Bengaluru; Hybrid; INR 1,200,000 - 2,400,000; Full time

Job summary

EXL is seeking a data engineer to design, develop, and maintain scalable ETL/ELT pipelines on Azure-based data platforms. The role emphasizes Python, PySpark, SQL, and Azure Databricks to deliver high-performance data solutions with strong data quality.

You will collaborate with business stakeholders, solution architects, and data modellers to translate requirements into scalable technical solutions and support data migration, modernization, and performance tuning.

Qualifications

• Experience in building scalable data pipelines and data processing workflows.
• Strong programming skills in Python, PySpark and SQL.
• Hands-on with Azure Databricks and cloud data services.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines on Azure-based data platforms.
• Develop high-performance data solutions using Python, PySpark, SQL and Azure Databricks with strong data quality.
• Collaborate with stakeholders to translate business requirements into scalable technical solutions.
• Support data migration, modernization, optimization and performance tuning following best practices.

Skills

Python

PySpark

SQL

Azure Databricks

Tools

Azure Data Factory

ETL Tools

Job description

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.