Senior Azure Data Engineer

The ideal candidate will work closely with the Product Manager, Data analysts, and key stakeholders to deliver clean, structured insights.

Key Responsibilities:

1. Data Modeling and Normalization:

• Develop and implement scalable data models in Palantir Foundry.
• Normalize data from ERP systems (SAP, JD Edwards) to ensure cross-client consistency.
• ETL and Data Pipelines:
• Build and automate data ingestion pipelines to reduce manual intervention.
• Develop processes for cleaning, validating, and transforming large datasets.
• Visualization Development:
• Collaborate with analysts to design reusable Power BI dashboards and views.
• Ensure seamless integration of clean, normalized data into Power BI.
• Tool Integration:
• Integrate Cap IQ and other external datasets into Palantir pipelines.
• Optimize data workflows to accelerate the creation of industry-specific templates.
• Collaboration and Scalability:
• Work with the Product Manager and Data Analysts to align normalization rules and requirements, enabling modular and reusable data solutions.

• 7-10 years in data engineering
• Strong software engineering fundamentals to build high-quality pipelines
• Experience with Palantir Foundry (or similar big data platforms).
• Expertise in building ETL pipelines and automating data ingestion processes.
• Proficiency in data wrangling, normalization, and modeling.
• Hands-on experience with Power BI for creating dashboards and integrating data models.
• Strong SQL skills for data transformation and querying.
• Solid understanding of ERP data systems (SAP, JD Edwards) and attributes.

Nice-to-Have:

• Familiarity with Cap IQ APIs and integration processes.