3563942-Manager

EXL; Gurugram District; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

EXL is seeking a Senior Data Engineer to design and implement scalable data and backend systems using Java, Spark, and ETL processes across cloud platforms like AWS and GCP. You will work on end-to-end data pipelines for retail, media, and data-driven industries.

You'll optimize performance for large datasets, collaborate with cross-functional teams, and adhere to engineering best practices in CI/CD and Agile environments.

Qualifications

• 5+ years of hands-on software or data engineering experience.
• Proven ETL pipeline development using Java and Spark.
• Strong Java programming, with Spring or Spring Boot preferred.
• Experience with Big Data tools: Spark, Airflow, and cloud services (AWS/GCP).
• Proficient in SQL with performance tuning for large datasets.
• Familiarity with data modeling, warehousing, and distributed systems.
• Experience in Agile development environments.
• Strong problem-solving and attention to detail.
• Excellent communication skills.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL workflows.
• Build Java-based backend components, services, or APIs as part of data solutions.
• Work with large datasets for transformation, integration, and real-time analytics.
• Optimize Spark, SQL, and Java processes for performance and scalability.
• Collaborate with cross-functional teams to deliver robust data solutions.
• Follow engineering best practices in coding, testing, version control, and deployment.

Skills

Java

SQL

Agile

Communication

Data modeling

Tools

Apache Spark

Apache Airflow

AWS

GCP

Job description

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.