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EXL Services
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Manager

Manager

EXL Services

5 years

0 Lacs

Gurgaon

Posted:1 day ago| Platform: GlassDoor logo

Apply

Skills Required

data etl java spark software development design aws gcp apache airflow support integration sql scalability engineering coding testing programming dataflow tuning agile communication microservices databricks merchandising devops workflow

Work Mode

On-site

Job Type

Full Time

Job Description

Manager

EXL/M/1430835

ServicesGurgaon

Posted On

23 Jul 2025

End Date

06 Sep 2025

Required Experience

5 - 10 Years

Basic Section

Number Of Positions

Band

Band Name

Manager

Cost Code

D012515

Campus/Non Campus

NON CAMPUS

Employment Type

Permanent

Requisition Type

New

Max CTC

1800000.0000 - 3000000.0000

Complexity Level

Not Applicable

Work Type

Hybrid – Working Partly From Home And Partly From Office

Organisational

Group

Analytics

Sub Group

Retail Media & Hi-Tech

Organization

Services

LOB

Retail Media & Hi-Tech

SBU

Services

Country

India

City

Gurgaon

Center

EXL - Gurgaon Center 38

Skills

Skill

BIG DATA

ETL

JAVA

SPARK

Minimum Qualification

ANY GRADUATE

Certification

No data available

Job Description

Job 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.

Workflow

Workflow Type

L&S-DA-Consulting

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