AWS Data Engineer

ExlService Holdings, Inc.
North Arlington, United States of America
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

North Arlington, United States of America

Tech stack

Amazon Web Services (AWS)
Amazon Web Services (AWS)
Big Data
Continuous Integration
Data as a Services
Data Architecture
Information Engineering
Data Governance
Data Infrastructure
ETL
Data Security
Data Systems
Data Warehousing
DevOps
Python
Shell Script
SQL Databases
Data Streaming
Data Ingestion
Spark
Data Strategy
Cloudformation
Data Lake
Infrastructure Automation Frameworks
Information Technology
Amazon Web Services (AWS)
Api Gateway
Terraform
Data Pipelines
Legacy Systems
Programming Languages

Job description

We are seeking an experienced AWS Data Engineer to join our Data Engineering team. You will be responsible for architecting, implementing, and managing scalable data solutions on AWS. Candidate would be required to work from NJ office as part of this role.

Responsibilities :

Design, development, and optimization of large-scale, reliable, and secure data pipelines and data lake architecture on AWS.

Architect and implement end-to-end data solutions, including data ingestion, storage, transformation, and analytics using AWS services (Glue, Redshift, S3, Lambda, EMR, Kinesis, Athena, RDS, etc.).

Collaborate with data scientists, analysts, and business stakeholders to translate requirements into scalable and maintainable solutions.

Oversee migration of data from legacy systems to AWS-based data lakes and data warehouses.

Develop and enforce standards for data quality, security, and governance.

Drive the adoption of DevOps, CI/CD, and infrastructure-as-code practices within the data engineering team.

Ensure solutions are cost-effective, performant, and aligned with enterprise data strategy.

Stay current with advancements in AWS technologies and data engineering trends and evaluate new tools and frameworks for potential adoption.

Troubleshoot complex data issues and provide technical leadership in problem resolution.

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

6+years of experience in data engineering.

Extensive hands-on experience with AWS data services (Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, Athena, RDS, API Gateway, etc.).

Proficient in programming languages such as Python and SQL; experience with Shell scripting and Scala is a plus.

Strong experience designing, implementing, and managing data lakes, data warehouses, and data ingestion pipelines on AWS.

Proven experience with ETL/ELT processes, data modeling, and big data frameworks.

Demonstrated ability to lead, mentor, and coach engineers in a collaborative team environment.

Experience with DevOps practices, CI/CD pipelines, and infrastructure-as-code tools (e.g., CloudFormation, Terraform).

Excellent problem-solving, communication, and organizational skills.

Preferred Qualifications:

AWS Solutions Architect or AWS Data Engineer certification.

Experience with real-time streaming technologies.

Knowledge of data governance, compliance, and security best practices.

Familiarity with Lakehouse architecture and modern data platforms.

Apply for this position