Note: The job is a remote job and is open to candidates in USA. Nordic Global is a leading IT Services Firm focused on the healthcare industry, dedicated to empowering providers through technology. They are seeking a Senior Data Engineer to design and maintain data architecture and pipelines, collaborate with teams to enhance data solutions, and mentor team members.
Responsibilities
- Designs, develops, optimizes, and maintains data architecture and pipelines that adhere to Extraction, Transformation, Loading (ETL) principles and best practices using Azure Databricks (PySpark)
- Works to identify business problems that can be solved and product features that can be enhanced by data engineering and analytics
- Provides subject matter expertise as a product team member, for identification, estimation, and implementation of data solutions to business use cases
- Collaborates with data analysts, key data consumers and application developers to optimize models and algorithms for data quality, security, and governance
- Solicits, understands, and ensures compliance with data governance and data security requirements while creating and improving integrated and reusable data pipelines, to enable faster data access and improved time-to-solution for data and analytics initiatives
- Leads engineering communities of practice (CoP) to expand influence and quality across the digital organization
- Designs end to end DataOps and analytical workflows, including overall architecture, capabilities, platforms, tools, and governing processes
- Mentors’ data team members to grow capabilities and mitigate product delivery risks
Skills
- Bachelors degree and 5 years' experience in a Data Engineering role, in a healthcare setting (required) or 7 years of related experience in lieu of degree
- 5 years' experience in a data engineering or architecture role (required)
- 5 years' experience designing, building, deploying, and troubleshooting data extract and load jobs (required)
- 3 years' experience building DB objects, authoring, and troubleshooting SQL queries, stored procedures and ETL processes (required)
- 5 years' experience writing complex T-SQL queries, strong knowledge of DML, DDL, triggers, common table expressions (CTE), query tuning and performance optimization (required)
- 3 years' experience working with DevOps and continuous integration capabilities for version control, build automation, testing, and release management (e.g., Visual Studio, Git, Jenkins, Azure DevOps) (required)
- Master's degree Computer Science, Statistics, Applied mathematics, or information systems and 6 years of related experience or 11 years of related experience and no degree
- License/Certification - Azure Data Engineer Associate (preferred)
- 1 year experience working with C#, PowerShell, Azure functions and logic apps, Azure Key Vault, .Net core, Azure PaaS (preferred)
- 3 years' experience Exposure to hybrid deployments, cloud and on premise, with demonstrated ability to work across multiple deployment environments, operating systems (preferred)
Company Overview
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