- 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: Solid ability to explain technical concepts to non-technical stakeholders.
- Problem-Solving: Aptitude for identifying issues within data and developing solutions.

📌 Sr. Data Engineer (Ahmedabad)
🏢 Anblicks Solutions
📍 Ahmedabad