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Our Business Intelligence and Data Analytics Team is leading a journey to advance the use of analytics across the organization. We aim to make data readily accessible and trusted, accelerate the time-to-insight, and enable deep-dive analysis on an array of information. In collaboration with our partners, our projects aim to uncover the story hidden in the data and to leverage data science techniques to predict outcomes and inform next actions.
Job Responsibility:
Data Engineer with strong business intelligence and data integration experience
Design, develop, and support enterprise data and analytics solutions
Build scalable data pipelines across multiple platforms
Integrate data from diverse source systems
Enable reporting and analytics using strong SQL, data virtualization, and API-based data connectivity
Write and optimize SQL queries to extract, transform, and load data
Create and maintain technical documentation for data flows, integration points, and support procedures
Build and enhance Power BI solutions, including semantic models, dataflows, dashboards, reports, and reusable analytics assets
Develop advanced Power Query (M) transformations to support ingestion, cleansing, and shaping of data
Write, optimize, and maintain advanced DAX measures, calculated columns, and calculations to support business reporting and analytics
Design and maintain Semantic Models, including data modeling, relationships, hierarchies, and row-level security
Create impactful reports and visualizations in Power BI, including use of bookmarks and interactive user experiences
Support and enhance Dataflows and shared datasets to promote scalable and reusable analytics architecture
Collaborate with cross-functional teams to understand data needs and deliver actionable insights that meet business needs
Stay up-to-date with the latest trends and technologies in data analytics and visualization
Mentorship and guidance to provide technical leadership to team members and citizen developers across the organization
Requirements:
Deep hands-on experience with SQL, including advanced query development, optimization, performance tuning, and data transformation
Strong experience with data virtualization technologies and enterprise integration patterns
Proven experience with API integrations, including REST/SOAP services, authentication methods, JSON/XML payloads, and automated ingestion processes
Advanced experience with Power Query (m query language)
Advanced experience with DAX (writing and optimizing)
Experience with Dataflows
Experience with Semantic Models (modeling and row level security)
Experience with Reports (visualizations and bookmarks)
Experience with measures and calculated columns
Nice to have:
Hands-on experience with Denodo and similar data virtualization platforms
SQL Server Administration
Power BI Rest API and Integrate Deployments into CI/CD pipelines
Proficiency in Python for data manipulation and task automation