
Senior Software Engineer
2 weeks ago
We are looking for a Senior Software Engineer – Backend & Data who combines expertise in data engineering with backend development to build scalable and innovative solutions. This role involves designing and maintaining end-to-end data pipelines, APIs, and backend services on AWS, while ensuring data is reliable, secure, and ready for advanced analytics and AI-driven applications.
As a senior contributor, you will play a key role in delighting clients, growing our business, improving the way we work, and developing yourself and others—all while upholding the Pointwest values of Leadership, Excellence, and Innovation, and our culture of Agility, Accountability, Innovation, Collaboration, and Customer Centricity.
Key Responsibilities
Delighting Our Customers & Stakeholders
Design and implement scalable data pipelines, APIs, and backend services using Python, , and AWS.
Deliver reliable, high-quality, and secure data solutions.
Collaborate across teams to support advanced analytics and AI-driven applications.
Growing Our Business
Provide innovative solutions that create measurable value for clients.
Share technical insights to support new opportunities and solution enhancements.
Improving the Way We Work
Apply engineering best practices in coding, testing, and CI/CD.
Automate infrastructure and deployments using AWS tools.
Ensure compliance with data governance and security standards.
Developing Myself and Others
Mentor junior engineers and share technical expertise with peers.
Stay up to date with emerging cloud and data engineering technologies.
Demonstrate leadership and collaboration in day-to-day work.
Key Metrics of Success
On-time delivery of high-quality backend and data solutions.
Positive client feedback and measurable improvements in system performance.
Increased automation and efficiency in deployments and operations.
Active contributions to team learning, innovation, and capability-building.
Qualifications
Minimum Requirements
5+ years of experience in software development and data engineering.
Proficiency in Python, , and TypeScript.
Hands-on experience with AWS services (Lambda, S3, Glue, Athena, DynamoDB, Kinesis, Step Functions, SNS/SQS).
Strong knowledge of ETL/ELT, data modeling, and pipeline design.
Experience in RESTful API development, microservices, and serverless architectures.
Database expertise in both relational (PostgreSQL/MySQL) and NoSQL (DynamoDB).
Experience in CI/CD pipelines and Infrastructure as Code (AWS CDK, CloudFormation, Terraform).
Strong English communication skills (B2 or higher).
Preferred Qualifications
Experience with AWS Lake Formation or AWS DataZone.
Event-driven architecture and hybrid integration.
Familiarity with MLOps frameworks and real-time analytics.
Soft Skills
Problem-solving and analytical mindset.
Adaptability and self-motivation in dynamic environments.
Strong collaboration and communication skills.
Curiosity and passion for continuous learning.
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