Sr. Data Engineer, Analytics Engineering

About this role

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Skills you'll use

What you'll do

• Apply unified data technologies to support advanced and automated business analytics
• Design, develop, document, and maintain database and reporting structures used to compile insights
• Define, develop, and review extract, load, and transform (ELT) processes and data modeling solutions
• Consistently evolve data processes and techniques following industry best practices
• Build data models to be used for reports and dashboards used to translate business data into insights, identify and prioritize operational improvement opportunities, and measure business KPIs against objectives
• Contribute to the ongoing improvement of quality assurance standards and procedures
• Support the vision and values of the company through role modeling and encouraging desired behaviors
• Participate in various company initiatives and projects as requested

Who can apply

• Bachelor's degree in a related field (Computer Science, Engineering, etc.)
• 5+ years of experience in data engineering roles, including creating and maintaining data pipelines, data modeling, and data architecture
• 5+ years of experience in advanced SQL, including expert-level skills in querying large datasets from multiple sources and developing automated reporting
• 3+ years of experience in Python, with skills for diverse components of data pipelines, including scripting, data manipulation, custom extract, transform and loads, and statistical/regression analysis
• Expertise in extract, transform, and load (ETL) and extract, load, transform (ELT) processes and pipelines, platforms (e.g. Airflow), and distributed messaging (e.g. Kafka)
• Experience with tools that capture and control data modeling change management (e.g. SQLMesh)
• Proficient in data storage solutions, data warehousing, and cloud-based data platforms (e.g. Snowflake)
• Knowledge and applicable working experience establishing and ensuring data governance, data quality, and compliance standards
• Exceptional problem-solving skills
• Excellent communication and collaboration skills with the ability to engage with non-technical stakeholders

About Morningstar

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