Regular Data Engineer

We are looking for a Strong Middle Data Engineer to join our dynamic team. In this role, you will work closely with senior engineers to design, develop, and optimize data pipelines using Palantir Foundry. The ideal candidate should have experience with cloud technologies, data architecture, and ETL processes to support data-driven decision-making.

Key Responsibilities:

• Develop and maintain scalable data pipelines in Palantir Foundry.
• Collaborate with cross-functional teams to gather data requirements and build efficient solutions.
• Optimize ETL processes for data integrity, governance, and security.
• Troubleshoot and resolve data pipeline issues to ensure continuous availability.
• Stay up to date with emerging data technologies and improve existing systems.

Technologies Used:

• Palantir Foundry, Python, PySpark
• Azure, SQL, TypeScript

Requirements:

• 4+ years of experience in data engineering (pharmaceutical or life sciences industry preferred).
• Strong skills in Python, PySpark, and cloud-based solutions (Azure).
• Expertise in data modeling, database design, and optimization.
• Familiarity with Big Data technologies (Apache Spark, Hadoop is a plus).
• Strong problem-solving, analytical, and communication skills.

Nice to Have:

• Certifications in cloud platforms or related fields.
• Experience with Docker, Kubernetes, REST APIs, Apache Lucene.
• Knowledge of Veeva CRM, Reltio, SAP, and Palantir Foundry.
• Understanding of pharmaceutical data privacy regulations.
• Previous experience with JavaScript and TypeScript.