Palantir Data Engineer
Job Description
Desired Competencies (Technical/Behavioral Competency)
Proficient in PySpark, Python, SQL with at least 5 years of experience
Working experience in Palantir Foundry platform is must
Experience designing and implementing data analytics solutions
on enterprise data platforms and distributed computing
(Spark/Hive/Hadoop preferred).
Proven track record of understanding and transforming customer
requirements into a best-fit design and architecture.
Demonstrated experience in end-to-end data management, data
modelling, and data transformation for analytical use cases.
Proficient in SQL (Spark SQL preferred).
Experience with JavaScript/HTML/CSS is a plus. Experience working
in a Cloud environment such as Azure or AWS is a plus.
Experience with Scrum/Agile development methodologies.
At least 7 years of experience working with large scale software
systems.
Bachelor's degree level or equivalent in Computer Science, Data
Science or similar discipline.
Good-to-Have
Knowledge of Insurance Domain or Financial Industry is a
strong plus.
Experienced working in multicultural globally distributed teams.
Self-starter with a positive attitude and a willingness to learn,
who can manage their own workload.
Strong analytical and problem-solving skills.
Strong interpersonal and communication skills, demonstrating a
clear and articulate standard of written and verbal
communication in complex environments.
CST 2017 JD Ver 2.0
SN Responsibility of / Expectations from the Role
1 Developing Data Stores and Data Warehouse solutions
2 Design and develop data pipelines to bring data from variety of data sources to Azure Databases
and Azure Data Lake using self-integration runtime
3 Work with Product owners and Solution Architect to understand the requirements and deliver in
Azure platform,
Design, Estimation and Planning
Executing the PoC/Project in Agile methodology
4 Design and deliver quality solutions independently
5 Leading a team of Data Engineers and deliver solutions as a team
