Data Engineer
As a Cloud Data Engineer at Pointwest, you will design, build, and maintain scalable, secure cloud data pipelines and systems to support the Banking, Financial Services and Insurance Business Unit. You'll work with AWS technologies, Python, and modern data tools to ensure data quality, optimize data storage, and drive insights that delight our stakeholders.
This role is ideal for someone passionate about data engineering, cloud technologies, and continuous learning, and who thrives in a culture of Agility, Accountability, Innovation, Collaboration, and Customer Centricity—all while upholding our values of Leadership, Excellence, and Innovation.
What You'll Do
- Deliver impactful data solutions that meet stakeholder needs using AWS Glue, Lambda, S3, and other services.
- Develop, maintain, and optimize data pipelines and implement ETL workflows.
- Collaborate with cross-functional teams to define requirements and build scalable data architectures.
- Ensure data quality and security, applying best practices and compliance standards.
- Support business growth by enabling advanced analytics and reporting capabilities.
- Continuously improve processes through automation and optimization.
- Mentor peers and grow expertise, sharing best practices and new learnings within the team.
What Success Looks Like
- High stakeholder satisfaction through timely and high-quality delivery of data solutions
- Reduced data processing times and optimized resource usage
- Increased reuse of data pipeline components and automation
- Positive peer feedback and active contribution to team learning
What You'll Bring
- Experience: 3 to 4 years in a data engineering or Python development role working on backend development, data integration, processing and transformation use cases with open-source and cloud technologies.
- Strong programming skills in Python, specifically for API integration and data libraries, with emphasis on quality and test-driven development. Knowledge of Polars and Pandas is required.
- Demonstrated proficiency with SQL
- Working knowledge of IaC on AWS (CloudFormation or CDK)
- Working knowledge of AWS Services:
Required: Lambda, S3, RDS, DynamoDB
Highly preferred: CDK, Glue, Step Functions
Nice-to-have: Athena, Kinesis, MSK, MWAA, SQS
- Highly preferred:
- Client-facing experience
- multi-cultural team experience
Nice-to-Haves
- Proficiency with big data storage formats (Apache Parquet, ORC) and practical knowledge of pitfalls and optimization strategies
- Experience with data modeling: Relational modeling, Dimensional modeling, NoSQL modeling
- Experience with orchestration of data flows / pipelines: Ex: EventBridge, Step Functions, Lambda
- Experience with data streaming (Kinesis, Kafka)
- Experience with Apache Spark
- technical leadership
- team leadership
