Manager

• Design, develop, and maintain scalable data pipelines and ETL workflows using Apache Spark,

• Build and support Java-based backend components, services, or APIs as part of end-to-end data

• 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

• Follow engineering best practices in coding, testing, version control, and deployment.

• 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

• 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

• 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.

EXL Service