Sr. Data Engineer

• Designing Data Models: Utilize Kimball data modeling techniques and Data Vault 2.0 methodologies to create and maintain robust data models.
• Data Integration: Use Fivetran for seamless data extraction and loading, and Azure Data Factory (ADF) for orchestrating data workflows.
• Data Warehousing: Manage and optimize data storage in Snowflake, ensuring efficient data retrieval and processing.
• Data Transformation: Develop and maintain transformation scripts using DBT (Data Build Tool) to convert raw data into actionable insights.
• Maintaining Data Documentation: Ensure all data processes and models are well-documented and easily understandable.
• Communicating Results: Present data insights to stakeholders through visual representations and reports.
• Collaborating: Work closely with data analysts, data engineers, and business executives to align data strategies with business goals.

Skills Required

• Technical Skills: Proficiency in SQL, Python, and data visualization tools like Tableau or Power BI.
• Analytical Skills: Ability to interpret complex data and provide actionable insights.
• Communication Skills: Strong ability to explain technical concepts to non-technical stakeholders.
• Problem-Solving: Aptitude for identifying issues within data and developing solutions.