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, youll 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.