About the role
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.
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