Senior Big Data Engineer with Palantir

The CHI Software team is not standing still. We love our job and give it one hundred percent of us! Every new project is a challenge that we face successfully. The only thing that can stop us is... Wait, it’s nothing! The number of projects is growing, and with them, our team too. And now we need а Senior Big Data Engineer with Palantir.

Requirements:

8+ years of IT experience;
4+ years of hands-on experience with Palantir;
Expertise in cloud platforms, particularly Azure or Google Cloud;
Strong background in data modeling and source system analysis;
Proficiency with PySpark;
Mastery of SQL;
Ability to perform data profiling, cataloging, and mapping for designing and constructing data flows;
Experience with data visualization and exploration tools;
Proven ability to provide technical leadership and guidance to teams;
Strong problem-solving skills, with the ability to translate business requirements into actionable data science solutions;
Excellent communication skills, capable of conveying complex technical concepts to both technical and non-technical stakeholders;
Effective team player with outstanding interpersonal and collaboration skills;
Proven ability to manage multiple projects concurrently, delivering high-quality results within deadlines.

Must have skills:

Data Analysis & Visualization.

Will be a plus:

Proficiency in Power BI;
Experience preparing data for Data Science and Machine Learning.

Responsibilities:

Lead the design, development, and maintenance of data pipelines and workflows using Palantir;
Perform data modeling, profiling, and mapping to support scalable data solutions;
Collaborate with cross-functional teams to understand business requirements and translate them into technical data workflows;
Leverage PySpark, SQL, and other tools to optimize data flows and transformations;
Work with cloud platforms (Azure, Google Cloud) to implement and manage scalable data solutions;
Provide technical leadership and mentoring to junior team members, ensuring high standards in development practices;
Develop and maintain data visualization dashboards for exploration and analysis;
Ensure data quality and integrity throughout all stages of the pipeline;
Manage multiple projects concurrently, meeting deadlines and maintaining high-quality deliverables.