AWS Data Engineer-Developer
Job Description
Description
Join to apply for the AWS Data Engineer-Developer role at J&M Group .
Design and develop Actuarial Data Feed enhancements using AWS Glue, Python, and PySpark.
Responsibilities include unit testing, creating test artifacts, supporting integration testing, and defect fixing.
Participate in requirement analysis, estimation, solution design, development, and implementation of applications hosted on AWS.
Contribute to defining project timelines, plans, and roadmaps.
Enhance and support Glue, Lambda, and ETL jobs.
Apply analysis skills to understand the impact of infrastructure and technical changes.
Provide recommendations for system enhancements.
Take ownership of work assignments to ensure successful completion.
Establish and maintain relationships with stakeholders, including customer leads and vendors.
Create and maintain technical documentation.
Ensure compliance with customer security policies and standards.
Maintain effective communication with management, team members, and business partners.
Major focus on designing and developing solutions based on AWS Glue and related services.
Competencies:
- Python
- AWS Cloud Computing
- PostgreSQL
- PySpark
- MS SQL Server
Experience (Years):
6-8 years
Essential Skills:
- Bachelor’s degree in computer science or related fields
- Minimum 5+ years of experience in complex technical environments and ETL technologies
- 3+ years creating ETL jobs with AWS Glue, Python, and PySpark
- Experience with SQL and relational databases
- Knowledge of AWS data services and SDKs
- Hands-on with DevOps tools
- Experience with scripting languages and protocols
Desirable Skills:
- Analytical and problem-solving skills
- Team management in multi-site environments
- Organizational skills
- Excellent communication
- Experience with Agile methodology
- AWS certification
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Company
J&M Group
Location
Toronto
Country
Canada
Salary
100.000
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