Power BI & Databricks Data Modelling Pro

TechDigital Group; Washington (District of Columbia); In loco; USD 80.000 - 110.000; Tempo pieno

Descrizione del lavoro

An established industry player is looking for a Data Modelling and Analytics Engineer to enhance their data analytics capabilities. This role focuses on developing a robust Semantic Model in Power BI, implementing complex DAX queries, and leveraging Databricks for efficient data processing. The ideal candidate will collaborate with stakeholders to ensure optimal performance and user experience while utilizing advanced features of Power BI. If you are passionate about data analytics and enjoy working in a dynamic environment, this opportunity is perfect for you.

Competenze

• Proven experience with Power BI, including Semantic Model development and DAX.
• Expertise in SQL Query, Databricks Lakehouse, Azure Databricks, and DBT.

Mansioni

• Design and maintain a scalable Semantic Model in Power BI.
• Write and optimize DAX queries for reporting needs.
• Utilize Databricks for data processing and ETL pipeline development.

Conoscenze

Power BI

DAX

SQL Query

Databricks Lakehouse

Azure Databricks

DBT

Data Analysis

Data Visualization

Analytical Skills

Descrizione del lavoro

We are seeking a highly experienced Senior Data Engineer to lead the design and development of model-ready data solutions for Data Analytics & Monitoring Tools for our Pricing Team. This role will be responsible for building scalable data pipelines, enabling standardized datasets, and supporting advanced analytics and pricing use cases.

Key Responsibilities:

• Design and implement scalable data pipelines using Snowflake and DBT
• Develop model-ready datasets to support pricing and analytics initiatives
• Establish data standards, metadata management, and governance practices
• Collaborate with cross-functional teams including pricing, QA, and BI
• Support data drift monitoring and data quality frameworks
• Optimize performance and reliability of data workflows

Required Qualifications:

• 10+ years of experience
• Strong hands-on experience with Snowflake and DBT
• Expertise in SQL and data modeling
• Experience building enterprise data pipelines (ETL/ELT)
• Knowledge of metadata management and data governance
• Strong problem-solving and communication skills
• Working experience in Python
• Native Commands in Python SDK - inflate column with percentage
• Migrate Python Scripts - out of the box CLI

Preferred Qualifications:

• Experience in insurance or financial services
• Exposure to pricing or actuarial datasets
• Familiarity with DataStage or Informatica