Palantir Data Engineer (International Commercial)

Company Description

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

Job Description

Key Responsibilities

• Ensure Foundry data platform functions without outage or downtime.
• Validate & adhere to data quality standards & data modelling regulations in the platform for efficient data pipelines that are scalable & function reliably.
• Build new data models & maintain data pipelines per business requirements.
• Translate business requirements into technical specifications & data assets for reporting & analytical needs.
• Maintain code quality in Python/PySpark & ensure foundry platform standards.
• Ensure data integration connectivity between the platform & its downstream & upstream sources.
• Monitor platform compute resources & bandwidth usage & add more resources if necessary.

Qualifications

Education & Experience

Must have a Bachelor's in Computer Science, Data Science, Computer Engineering, Information Technology or related field, & 6 years of experience as a Data Engineer, Data Scientist, &/or ETL/Big Data developer.

Of experience required, must have 4 years of experience with each of the following:

1. developing software using  each of the following tools: (a) PySpark, Python, and SQL, (b) Data Modeling, (c) Git, Jira, Confluence, & (d) AWS;
2. coding with the following programming languages Python, SQL, Spark, Amazon Web Services;
3. designing & implementing  DevOps principals &  Git version control;
4. data modeling & schema design for optimized querying, aggregation, analysis, and visualization;
5. scripting for automation & system management using Bash or Powershell;
6. managing data infras