AWS Data Engineer
Listed on 2026-09-09
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Software Development
AWS, Python, DevOps, Cloud Engineer - Software
Design, code, test, debug, document, and implement changes to new and existing software applications. Ensure quality and controls are in place, manage escalations, and develop solutions. Execute unit/string testing and potentially create development unit/string test plans. Partner with QA to ensure software applications meet IT standards and business requirements. Participate in design and coding of software applications as part of a team.
Coordinate code deployments with Change Management, resolve complex software issues, generate reports for business use, address critical production issues, and participate in Agile/Scrum meetings.
- Experience with ETL and Data Warehousing concepts.
- Strong hands-on experience in Python 3.x.
- Experience handling and transforming data from various sources (flat files, databases, APIs, XMLs) using Python.
- Knowledge of OOP concepts, inheritance, classes, and functions.
- Experience in data analysis, engineering, and solutioning.
- Strong experience with AWS services and architecture development using boto3 and Cloud Formation.
- Experience with scheduling tools (Control-M preferred), databases (PostgreSQL preferred), and SQL.
- Proficiency with Git.
- Experience with AWS services (Cloud Formation, IAM, S3, EC2, Lambda, Athena, DynamoDB, Step Functions, Event Bridge, Fargate).
- Experience with CI/CD pipelines and Dev Ops tools (Jenkins, Git Hub/Bit Bucket, Artifactory).
- Experience with containerization (Docker/Kubernetes).
Competencies: Python, Amazon Web Service (AWS) Cloud Computing, Actuarial
- Life & Pensions
Design, code, test, debug, document, and implement changes to new and existing software applications. Ensure quality and controls are in place, manage escalations, and develop solutions. Execute unit/string testing and potentially create development unit/string test plans. Partner with QA to ensure software applications meet IT standards and business requirements. Participate in design and coding of software applications as part of a team.
Coordinate code deployments with Change Management, resolve complex software issues, generate reports for business use, address critical production issues, and participate in Agile/Scrum meetings.
Essential
Skills:
- Experience with ETL and Data Warehousing concepts.
- Strong hands-on experience in Python 3.x.
- Experience handling and transforming data from various sources (flat files, databases, APIs, XMLs) using Python.
- Knowledge of OOP concepts, inheritance, classes, and functions.
- Experience in data analysis, engineering, and solutioning.
- Strong experience with AWS services and architecture development using boto3 and Cloud Formation.
- Experience with scheduling tools (Control-M preferred), databases (PostgreSQL preferred), and SQL.
- Proficiency with Git.
- Experience with AWS services (Cloud Formation, IAM, S3, EC2, Lambda, Athena, DynamoDB, Step Functions, Event Bridge, Fargate).
- Experience with CI/CD pipelines and Dev Ops tools (Jenkins, Git Hub/Bit Bucket, Artifactory).
- Experience with containerization (Docker/Kubernetes).
Competencies: Python, Amazon Web Service (AWS) Cloud Computing, Actuarial
- Life & Pensions
Please note:
F1 OPT candidates are not eligible for this role
ETL Data Warehousing Python AWS boto3 Cloud Formation Control-M PostgreSQL SQL Git Jenkins Git Hub Bit Bucket Artifactory Docker Kubernetes
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