Data Analyst

EXL

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

Posted 10/28/2026full-timeJersey City • New Jersey • United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining large-scale data pipelines using AWS services, with proficiency in SQL, Python, and PySpark. Strong problem-solving abilities and performance optimization skills are essential for effective data processing and storage.

Highest-signal resume keywords

Data EngineeringAWS ServicesSQL ProgrammingPython ProgrammingPerformance Optimization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData ProcessingData StorageSQLPythonPySpark

Soft Skills

Problem-Solving

Tools & Technologies

AWS S3AWS GlueAWS AthenaAWS LambdaAWS Redshift

Industry Keywords

Data EngineeringLarge-Scale Data PipelinesData Platforms

Tech Stack

Tools & technologies

Amazon RedshiftAWSPySparkPythonSQL

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 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 SQL, 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 Business, Management, Finance, IT, or related field