Required Qualifications

Strong proficiency with reporting tools, software platforms, and related analytical applications.
Demonstrated experience as a BI Developer, delivering interactive reports, dashboards, visualizations, and robust data models.
Advanced querying and transformation skills using SQL, Data Analysis Expressions (DAX), and Power Query (M).
Python expertise, with the ability to write clean, efficient code for data transformation, validation, and automation, leveraging libraries such as pandas, Apache Arrow (PyArrow), and Microsoft Fabric Lakehouse APIs.
Hands-on experience with PySpark and Microsoft Fabric/Spark notebooks to process large-scale datasets, build transformation pipelines, and enable scalable data engineering solutions.
Proven experience designing, building, and maintaining Microsoft Fabric data pipelines, Dataflows Gen2, notebooks, and Lakehouse tables.
Solid understanding of Delta tables, medallion architecture, incremental refresh strategies, and performance optimization techniques.
Ability to diagnose and resolve data pipeline failures, refresh issues, schema changes, and data inconsistencies across multiple data layers.
Strong analytical and problem-solving skills, with the ability to translate operational and financial processes into accurate, scalable data models.
Comparable experience working within cloud platforms such as Google Cloud, Amazon Web Services (AWS), or Microsoft Azure.

Preferred Qualifications

Advanced hands-on experience with Microsoft Fabric.
Knowledge of Kusto Query Language (KQL) for real-time intelligence, telemetry, and log analytics within Fabric.
Familiarity with Azure services, including Azure Data Factory, Azure SQL, and Azure Data Lake Storage.
Understanding of data security and governance principles, including role-based access control (RBAC), compliance, and data stewardship frameworks.
Microsoft Fabric Analytics Engineer certification (completed or in progress).

Education and Experience

Bachelor’s degree in computer science, information systems/technology, finance, accounting, mathematics, statistics, or a related field, plus five (5) years of relevant professional experience, including report development and technical requirements analysis.
An equivalent combination of advanced education, professional training, and related experience will be considered.

GENESYS Consulting Services, Inc.

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