Position Details
About this role
This role involves designing and maintaining high-quality data pipelines and lakes, analyzing data, and ensuring data reliability within a financial services environment.
Key Responsibilities
- Build and optimize data pipelines
- Develop data lakes
- Perform data analysis
- Automate workflows
- Collaborate on data projects
Technical Overview
The technical environment includes Python, R, SQL, Java, Scala, Spark, Shell scripting, and DevOps practices for data engineering.
Ideal Candidate
The ideal candidate is a mid-level data engineer with experience in building and optimizing data pipelines, familiar with data lakes and Spark technologies, and knowledgeable in DevOps practices. They possess strong analytical and problem-solving skills.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
No experience with data lakes or Spark, Lack of DevOps automation knowledge, Unwilling to work in Newark, NJ
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