AWS Data Engineer/Data Analyst

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. This is a contract role open to Corp-to-Corp and W2 contractors. No visa restrictions.

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)