Data Engineer PySpark Palantir

Data Engineer – PySpark – Python – SQL – Palantir Foundry – Hungary

Empiric has received an exciting opportunity for an Data Engineer proficient in PySpark, Python and SQL. Plus at least 1 year experience in Palantir Foundry platform.

The Data Engineer must have experience designing and implementing data analytics solutions on enterprise data platforms and distributed computing (Spark/Hive/Hadoop preferred).

Experience required in end-to-end data management, data modelling, and data transformation for analytical use cases.

A big plus is previous experience with JavaScript/HTML/CSS and working in a Cloud environment such as Azure or AWS.

For the first month hybrid working for 6 to 10 days per month in the clients Budapest office initially ….could be reduced in time to 2 to 4 days per month

Key Responsibilities:

·Developing Data Stores and Data Warehouse solutions

·Design and develop data pipelines bring data from variety of data sources to Azure Databases and Azure Data Lake using self-integration runtime

Skills / Experience :

·PySpark & Python

·SQL ( pref Spark SQL)

·Palantir Foundry platform is must for at least 1 year

·Designing and implementing data analytics solutions on enterprise data platforms and distributed computing (Spark/Hive/Hadoop preferred)

·Scrum / Agile

·Knowledge of Insurance Domain or Financial Industry is a strong plus.

• Term: 6 to 18 Months plus extensions
• Good day rate (B2B is fine) + Starter Bonus + Free Lunch Club experience

This is a critical position, please respond to this advert or reach out to Woody by completing the form below or (whatsapp is fine) +44 7887 416 338 for a confidential chat and more details on rate and this terrificproject.