3563942-Manager

J ob Title: Senior Data Engineer – Big Data, ETL & Java Experience Level: 5 + Years Employment Type: Full - time

About the Role EXL is seeking a Senior Software Engineer with a strong foundation in Java , along with expertise in Big Data technologies and ETL development . In this role, you'll design and implement scalable, high - performance data and backend systems for clients in retail, media, and other data - driven industries. You’ll work across cloud platforms such as AWS and GCP to build end - to - end data and application pipelines.

Key Responsibilities • Design, develop, and maintain scalable data pipelines and ETL workflows using Apache Spark, Apache Airflow, and cloud platforms (AWS/GCP). • Build and support Java - based backend components , services, or APIs as part of end - to - end data solutions. • Work with large - scale datasets to support transformation, integration, and real - time analytics. • Optimize Spark, SQL, and Java processes for performance, scalability, and reliability. • Collaborate with cross - functional teams to understand business requirements and deliver robust solutions. • Follow engineering best practices in coding, testing, version control, and deployment.

Required Qualifications • 5 + years of hands - on experience in software or data engineering. • Proven experience in developing ETL pipelines using Java and Spark . • Strong programming experience in Java (preferably with frameworks such as Spring or Spring Boot). • Experience in Big Data tools including Apache Spark , Apache Airflow , and cloud services such as AWS EMR, Glue, S3, Lambda or GCP BigQuery, Dataflow, Cloud Functions. • Proficiency in SQL and experience with performance tuning for large datasets. • Familiarity with data modeling, warehousing , and distributed systems. • Experience working in Agile development environments. • Strong problem - solving skills and attention to detail. • Excellent communication skills

Preferred Qualifications • Experience building and integrating RESTful APIs or microservices using Java. • Exposure to data platforms like Snowflake, Databricks, or Kafka. • Background in retail, merchandising, or media domains is a plus. • Familiarity with CI/CD pipelines , DevOps tools, and cloud - based development workflows.