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Python SW Engineer - Data

Remote, Canada · Computer/Software
Position Summary
Our Client’s Investments Data Technology team is looking for a motivated and versatile Data Engineer. The team is an agile organization with singular focus on providing business with sustainable competitive advantage via rapid implementation and deployment of modern technology and broad utilization of vast amounts of data. We are looking for a passionate engineer who loves the trade, not afraid of changing context and works well with others.

Responsibilities and Performance Objectives:
• Make database/data warehouse design choices, including hardware, relational database management systems, ETL
• Architect and build distributed, scalable, and reliable data pipelines that ingest and process data at scale and velocity
• When needed, design and write highly optimized and complex queries
• Collaborate closely with other teams (Developers, Analysts, Business Partners and Scientists) to design, develop and deploy data tools that support machine learning, analytical and product use cases
• Own data pipelines, features and data assets from the development phase through to production deployment
• Engage in data interpretation and forensic data analysis and troubleshooting
• Demonstrate ability to come up with innovative yet feasible and pragmatic solutions
• Think, Ask Questions, Design, Build and Refine
• Treat ambiguity and complexities of enterprise data environment as an opportunity and not as an excuse Required Attributes: Both senior candidates (i.e., with years of experience / leadership) and junior candidates are welcome to apply. The minimum required skills include:
• Self-motivated and creative; comfortable with building from ground-up and with analyzing legacy code for the purposes of cloud migrations.
• Experience in hands-on SQL
• Experience working with structured/semi-structured/unstructured data • Advanced SQL, RDBMS knowledge (e.g. SQL Server, Oracle, DB2)
• Experience with Snowflake is a big plus, but not required
• Hands-on experience with Python, knowledge of common frameworks and packages; comfort working in Windows and Linux environments
• Experience with at leastsome (and ideally most) AWS services (S3, Lambda, ELB, ALB, EC2, EMR, API Gateway, RDS, ElasticSeach, ElastiCache Redis, Glue)
• Experience with data streaming and micro-batching is a plus
• Good communicator and team player
• Solid understanding of algorithms and data structures An ideal candidate (is not required to, but) will also have:
• Familiar with Open Source/ commercial database management tools
• Familiarity with Continuous Deployment pipelines and configuration (e.g. Jenkins, Chef, Docker)
• Exposure to Netezza, Exadata ecosystem
• Some understanding of either General or Life Insurance Market/ Products data/business domains
• Some understanding of Financial Services/Capital Markets/Asset Management industries
• Basic understanding of networking and internet technologies

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