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Data Engineer Data Analytics
2 months ago
The Data Engineer will support the client's OCM Self-serve platform. They will be a part of a team with Tech Lead, Business Analyst and a Data Engineer.
Technical Operationalizing and maintaining data pipelines deployed to the Client's investment entities and cultivate a business relationship that assists in meeting business demands
Deploying ETL/ELT pipelines to achieve a high level of reliability, scalability and security
Sourcing, transforming and delivering structured and unstructured assets for analytical use
Optimizing performance of ETL pipelines and data sources
Monitoring pipelines. Defining and executing technical test plans, performing unit, performance and integration tests and automating regression tests
Organizational Operating in an Agile development environment
Communicating effectively with other engineers and various other partners such as product managers, data & business analysts, IT infrastructure specialists, security specialists, enterprise architects and members of senior management
Exhibiting the ability to work on multiple projects simultaneously and ensuring timely delivery
Participating in establishing sound data management practices for the team and the organization
helping shape and scale the future of our development and production infrastructure
3+ years solving sophisticated technical data projects using the Microsoft Azure data stack or equivalent work experience. A bachelor’s degree in a scientific or engineering field of study or equivalent work experience
~ Microsoft Data engineer associate level certificate will be considered as an asset
~ Relationship Building. Consistent track record of building deep technical relationships. The ability to trace data lineage / workflows and resolve technical issues with minimal direction
~ Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, and technology management
Experience in handling data in Python using libraries like Pandas, Numpy
Proficient with SQL
Experience with data architecture, modeling, data warehousing
Breadth of technical experience and knowledge across the Azure Data Platform, with depth / Subject Matter Expertise in two or more of the following Data Platform resources:
Azure Databricks, experience with Python
Azure Functions and/or Web Apps using C#.Net
Azure Managed SQL Server
Azure Data Factory
Proven experience automating CI/CD pipelines using Azure DevOps or equivalent work experience
Experience with containerization and container deployment to Kubernetes
Experience developing star schema reporting pipelines using Kimball or Data Vault v2.
