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EXL

Senior Data Engineer, AWS

EXL

. Design, build, and maintain efficient, reusable, and reliable architecture and code for AWS data pipelines and applications .

Posted 11/3/2026full-timeJersey City • New Jersey • United StatesSenior💰 $150,000 - $170,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and implementing AWS data solutions, including data ingestion pipelines, ETL/ELT processes, and serverless applications. Proficient in utilizing AWS services and ensuring data quality, integrity, and security across large-scale data engineering projects.

Highest-signal resume keywords
AWS Data Solutions ArchitectureETL/ELT Process DevelopmentPython ProgrammingData Pipeline OrchestrationAWS Solutions Architect Certification

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonSQLShell ScriptingETL/ELTData ModelingBig Data TechnologiesData WarehousingData LakesServerless Application DevelopmentStreaming Solutions
Soft Skills
Problem-SolvingAttention to DetailCommunicationTeamwork
Tools & Technologies
AWS GlueAWS RedshiftAWS S3AWS LambdaAWS EMR/SparkAWS KinesisAWS SQSAPI GatewayCloudFormationTerraform
Certifications & Qualifications
AWS Solutions Architect CertificationAWS Developer Certification
Industry Keywords
Data GovernanceCompliance StandardsCloud-Based ArchitectureInfrastructure-as-CodeData Engineering

Tech Stack

Tools & technologies
Amazon RedshiftAWSCloudDynamoDBElasticSearchETLKafkaPythonShell ScriptingSparkSQLTerraform

About the role

Key responsibilities & impact
  • Design, build, and maintain efficient, reusable, and reliable architecture and code for AWS data pipelines and applications
  • Build data ingestion pipelines from on-premises systems to AWS and within AWS using Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, and SQS
  • Develop and manage ETL/ELT processes to collect, process, and store data from multiple sources
  • Ensure data quality, integrity, and security
  • Architect and implement end-to-end AWS data solutions covering ingestion, storage, integration, processing, and access
  • Focus on data lakes and data warehouses
  • Participate in architecture and system design discussions for high-scale data engineering projects
  • Perform hands-on development and unit testing, and participate in code reviews
  • Implement serverless applications using AWS Lambda, API Gateway, Step Functions, and other AWS technologies
  • Migrate data from relational databases, file systems, and APIs to AWS data lakes, RDS, Aurora, and Redshift
  • Implement high-velocity streaming solutions using Amazon Kinesis, SQS, and Kafka
  • Architect and implement CI/CD strategies for enterprise data platforms
  • Collaborate with product, operations, QA, and cross-functional teams throughout the software development cycle
  • Evaluate new technologies, implement proofs of concept, and onboard tools for real-world use cases
  • Resolve performance issues and optimize for cost, reliability, and scalability
  • Oversee organizational data engineering solutions, lead high-impact initiatives, align solutions with organizational goals, and provide executive guidance

Requirements

What you’ll need
  • Graduate in Computer Science, Data Science, or related field
  • Bachelor’s degree in Computer Science, Software Engineering, MIS, or equivalent combination of education and experience
  • 8+ years of experience implementing and supporting data lakes, data warehouses, and data applications on AWS for large enterprises
  • Strong programming experience with Python, Shell scripting, and SQL
  • Solid experience with AWS services: CloudFormation, S3, Athena, Glue, EMR/Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, Secrets Manager
  • Experience in serverless application development and data pipeline orchestration
  • Experience in system analysis, design, development, and implementation of data ingestion pipelines in AWS
  • Knowledge of ETL/ELT, data modeling, and big data technologies
  • Familiarity with data warehousing concepts and cloud-based architecture
  • Strong problem-solving skills and attention to detail
  • Excellent communication and teamwork abilities
  • Preferred: Experience with API Gateway, ElasticSearch, SQS
  • Preferred: Experience with infrastructure-as-code tools such as Terraform or CloudFormation
  • Preferred: Experience with DevOps practices and CI/CD pipelines
  • Preferred: Experience implementing streaming solutions with Amazon Kinesis, SQS, or Kafka
  • AWS Solutions Architect or AWS Developer Certification preferred
  • Preferred: Understanding of Lakehouse/data cloud architecture
  • Preferred: Knowledge of data governance and compliance standards

Benefits

Comp & perks
  • Benefits information provided via https://www.exlservice.com/us-careers-and-benefits