Job Description

We are seeking an experienced and highly skilled Data Engineer / Analytics Specialist to join our team. The ideal candidate will have recent industry experience in delivering analytics solutions with a strong focus on IT and business performance metrics. This role is responsible for end-to-end data operations, from ingestion and modeling to quality assurance and visualization, leveraging modern tools and techniques across the Microsoft ecosystem and enterprise platforms.

Roles and Responsibilities

Data Ingestion:

• Ingest relational, structured, semi-structured, and unstructured data from on-premise, cloud, external, document, and other sources.
• Develop and monitor scalable data ingestion streams with robust error handling and performance optimization.
• Integrate APIs and other data services to automate and streamline ingestion processes.

Data Modelling:

• Design logical and optimized data models, including star schemas, to support high-performance analytics and reporting.
• Centralize and manage business rules, calculations, derivations, table relationships, and transformations to deliver scalable analytics solutions.
• Blend data from multiple sources into a unified and meaningful context for business intelligence.
• Implement and maintain reusable dataflows using Power Query (M).

Data Quality Assurance:

• Ensure data accuracy, consistency, and completeness at both entity and attribute levels.
• Establish data lineage and enforce standardization of data formats across ingestion streams.
• Apply performance tuning techniques such as aggregations, incremental refresh, and query folding for optimal efficiency.

Analytics Delivery:

• Develop interactive and visually compelling dashboards tailored to executive and operational users.
• Implement row-level security and manage user access and workspace permissions in Power BI Service.
• Create complex DAX measures, calculated tables, and KPIs to support dynamic analytics needs.

Qualifications and Skills

• Recent industry experience working with core IT services metrics and business performance measures.
• Proven working knowledge in analytics delivery and analytics technologies, with a strong business understanding.
• Advanced SQL capabilities including stored procedures and complex data transformations.
• Advanced API integration skills for automated data ingestion from third-party services.
• Expertise in Power Query (M) for data cleansing, transformation, and building reusable, standardized dataflows.
• Deep experience designing optimized data models and star schemas for fast and scalable reporting.
• Advanced DAX knowledge to support dynamic and customized reporting needs.
• Proficient in Power BI development, including implementing row-level security, managing workspace permissions, and fine-tuning performance.
• Skilled in developing executive dashboards and visualizations aligned with business KPIs and strategic goals.
• Familiarity with performance tuning techniques such as aggregations, incremental refresh, and query folding.
• Hands-on experience with ServiceNow (SNOW), Dynatrace, and Azure DevOps (AzDO).
• Competent with the full Microsoft 365 suite, including Word, Excel, PowerPoint, Visio, and Teams.

Education

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Business Intelligence, or a related field.

Nice-to-Haves

• Experience with enterprise cloud data tools (e.g., Azure Data Factory, Synapse, AWS Glue).
• Knowledge of data governance, compliance, and metadata management frameworks.
• Exposure to Agile or DevOps environments with continuous integration and deployment (CI/CD) pipelines.

We’re an equal opportunity employer committed to increasing diversity and inclusion in today’s workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Minorities, women, LGBTQ candidates, and individuals with disabilities are encouraged to apply. If you require an accommodation, please review our accessibility policy and reach out to our accessibility officer with any questions.