Inspira Financial · 2 days ago

Lead Data Engineer

Oak Brook, IL

Full-time

Onsite

Senior Level

8+ years exp

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Financial Services

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Responsibilities

Facilitate the development of logical data models and physical database designs optimized for performance, availability, and reliability

Design and implement OLAP databases to serve internal and external consumer use cases

Design and implement resilient and performant data pipeline and transformation processes

Design and implement hybrid data cloud services, leveraging public cloud providers (i.e. Azure) and specialty providers (i.e. Snowflake)

Support the development of enterprise data warehouse strategy ensuring rapid delivery while applying standards and principles

Support enterprise data governance initiatives and drive efforts in defining data standards, designing classification taxonomies, and developing data management processes

Work cross-functionally with other internal business units such as marketing and operations

Stay updated on new development tools for continuous professional growth

Qualification

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SQL/T-SQLPythonRelational DatabasesNoSQL DatabasesDatabase DesignOLAPData PipelineCloud ServicesAzureSnowflakeSalesforce Financial Services CloudData ModelingProblem-SolvingAnalytical SkillsMicrosoft AzureData EngineeringKubernetesEthical HackingScaled Agile (SAFe)

Required

Proficiency in programming languages such as SQL/T-SQL, Python

Competence with relational and noSQL databases (e.g., SQL Server, MongoDB)

Ability to design and create database tables, views, functions, and stored procedures

Design and implement OLAP databases

Design and implement resilient and performant data pipeline and transformation processes

Design and implement hybrid data cloud services, leveraging public cloud providers (i.e. Azure) and specialty providers (i.e. Snowflake)

Strong understanding of Salesforce Financial Services Cloud data object model preferred

Strong problem-solving abilities and analytical skills

Bachelor's Degree preferred in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Mathematics, Statistics, Data Science, or similar/related Engineering/Science based disciplines

8+ years of applicable experience