Prefer Local to New Jersey as its Hybrid role

Someone from financial project background

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)
  
  

If you are interested or have any references please share resume at [email protected].