Position Details
About this role
This role involves leading the development and optimization of data pipelines and workflows within the enterprise data platform, ensuring data accuracy, reliability, and operational efficiency.
Key Responsibilities
- Lead data pipeline development
- Maintain data quality
- Implement CI/CD for data workflows
- Collaborate with data scientists and analysts
- Monitor and optimize pipeline performance
Technical Overview
The technical environment includes Databricks, Snowflake, Palantir, SQL, and DevOps practices, with a focus on automation, monitoring, and scalable data architecture.
Ideal Candidate
The ideal candidate is a senior data engineer with 5+ years of experience designing and maintaining scalable data pipelines using platforms like Databricks, Snowflake, and Palantir. They should have strong skills in SQL, automation, and cloud-based data solutions.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with cloud data platforms, No proficiency in SQL, Inability to work with data pipelines and ETL processes, No experience with automation or DevOps practices
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