AWS Data Engineer

WS Data Engineer/Data Analyst Newark, NJ

About the job We are seeking an experienced

AWS Data Engineer / Data Analyst

with hands-on expertise in building scalable data pipelines, transforming large datasets, and delivering analytical insights using the AWS ecosystem.

Key Responsibilities: AWS Data Engineer Duties:

Design and build

data pipelines and ETL workflows

using

AWS Glue, AWS Lambda, and AWS Step Functions Ingest and transform data from diverse sources (S3, RDS, DynamoDB, APIs) into structured formats suitable for analysis Create and optimize

data lakes

on

Amazon S3

and integrate with

Athena

and

Redshift Automate data workflows using

AWS Glue Jobs ,

Glue Crawlers , and

CloudWatch Implement

data quality, cleansing, and transformation logic

using

PySpark or Python Develop and maintain

infrastructure as code

using

AWS CloudFormation or Terraform

AWS Data Analyst Duties:

Query large datasets using

Amazon Athena, Redshift , and

QuickSight

for analytical reporting Develop interactive dashboards and visualizations using

Amazon QuickSight Analyze and interpret data trends to support business decisions Write complex

SQL queries

to extract, manipulate, and validate data from AWS-based systems Collaborate with stakeholders to gather requirements and provide data-driven insights Support data governance, metadata management, and documentation efforts

Required Skills & Technologies:

Strong experience with

AWS services

including: S3, Glue, Lambda, Athena, Redshift, QuickSight Proficiency in

SQL

and

Python/PySpark

for data transformation Experience with

data modeling ,

data warehousing , and

data lake architectures Familiarity with

ETL/ELT pipelines

and

data integration frameworks Solid understanding of

IAM, CloudWatch , and

AWS security best practices Experience with

BI tools

(QuickSight, Tableau, or Power BI)

Nice to Have:

Experience with

AWS Step Functions ,

Kinesis , or

DataBrew Familiarity with

machine learning pipelines on AWS (SageMaker) Experience with

CI/CD pipelines

and

version control

(Git)