Data Engineer

EXL

. Build and maintain large-scale data pipelines and platforms .

Posted 9/18/2026full-timeJersey City • New Jersey • United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in building and maintaining large-scale data pipelines using AWS services, with a strong foundation in Python and PySpark for data processing and performance optimization.

Highest-signal resume keywords

Data EngineeringAWS ServicesPython ProgrammingPySpark ProgrammingPerformance Optimization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData ProcessingData StoragePerformance OptimizationPythonPySpark

Soft Skills

Problem-Solving

Tools & Technologies

AWS S3AWS GlueAWS AthenaAWS LambdaAWS Redshift

Industry Keywords

Data EngineeringData ScienceITEngineering

Tech Stack

Tools & technologies

Amazon RedshiftAWSPySparkPython

About the role

Key responsibilities & impact

Build and maintain large-scale data pipelines and platforms
Provide support in building robust data pipelines
Perform data processing and storage using AWS services
Optimize data pipeline and platform performance

Requirements

What you’ll need

0-2 years of overall experience in data engineering, building and maintaining large-scale data pipelines and platforms
Proficiency in programming languages such as Python and PySpark
Familiarity with AWS services for data processing and storage, including S3, Glue, Athena, Lambda, and Redshift
Strong problem-solving and performance optimization skills
Bachelor’s degree in Engineering, Data Science, IT, or related field
Recent graduate or 0–2 years of experience