Description

You will design and implement end-to-end Business Intelligence and Data Warehousing solutions within the Azure ecosystem.

Responsibilities

• Build and manage data integration processes, pipelines, and ETL workflows to support organizational data needs.
• Develop conceptual and logical data models to transform complex datasets into actionable business insights.
• Define functional requirements by working directly with business leadership to drive decision-making.
• Analyze large datasets using statistical practices to identify trends, risks, and predictive opportunities.
• Lead the preparation of high-quality project deliverables and mentor team members during analytics implementation.

Required Skills

• 5+ years of experience in data engineering or related analytical roles.
• Advanced proficiency in SQL and Microsoft Azure.
• Strong experience with Informatica, Hadoop, and Apache Spark.
• Expertise in Data Architecture, data mapping, and building complex data models.
• Proficiency with ETL tools, data cleaning, and data warehousing techniques.
• Hands-on experience with data visualization tools like Microsoft Power BI or Tableau.
• Solid understanding of OLTP and various data structures.
• Ability to perform statistical analysis including regression, correlation, and variance.
• Master's degree in Information Systems, Computer Science, Engineering, or a related field.

Preferred Skills

• Novice experience with Python, Snowflake, Azure Data Factory, and Microsoft Databricks.
• Familiarity with Agile Frameworks (SAFE) and Hive.

Key Skills

Education

Master's degree