AWS Data Engineer

SUMMARY:
We’re looking for an AWS Data Engineer to design, build, and maintain the full data infrastructure—powering everything from raw data ingestion to advanced analytics. You’ll be responsible for configuring data sources, developing robust pipelines, managing cloud architecture, and integrating analytical tools. This is a hands-on, generalist role ideal for someone who can architect and optimize data systems across every stage of the data lifecycle using AWS technologies.
Minimum education (desirable):

• Honors degree in Computer Science or Engineering (or similar)
• AWS Certified Data Engineer or 
• AWS Certified Solutions Architect or 
• AWS Certified Data Analyst

• Data Engineering development
• Experience with AWS services used for data warehousing, computing and transformations ie.AWS Glue (crawlers, jobs, triggers, and catalog), AWS S3, AWS Lambda, AWS Step Functions, AWS Athena and AWS CloudWatch
• Experience with SQL and NoSQL databases (e.g., PostgreSQL, MySQL, DynamoDB)
• Experience with SQL for querying and transformation of data

• Strong skills in Python (especially PySpark for AWS Glue)
• Strong knowledge of data modeling, schema design and database optimization
• Proficiency with AWS and infrastructure as code

• Knowledge of SQL, Python, AWS serverless microservices,
• Deploying and managing ML models in production 
• Version control (Git), unit testing and agile methodologies

POSITION INFO:

Minimum education (desirable):

• Honors degree in Computer Science or Engineering (or similar)
• AWS Certified Data Engineer or
• AWS Certified Solutions Architect or
• AWS Certified Data Analyst

• Data Engineering development
• Experience with AWS services used for data warehousing, computing and transformations ie.AWS Glue (crawlers, jobs, triggers, and catalog), AWS S3, AWS Lambda, AWS Step Functions, AWS Athena and AWS CloudWatch
• Experience with SQL and NoSQL databases (e.g., PostgreSQL, MySQL, DynamoDB)
• Experience with SQL for querying and transformation of data

• Strong skills in Python (especially PySpark for AWS Glue)
• Strong knowledge of data modeling, schema design and database optimization
• Proficiency with AWS and infrastructure as code

• Knowledge of SQL, Python, AWS serverless microservices,
• Deploying and managing ML models in production
• Version control (Git), unit testing and agile methodologies