Position Details
About this role
This role focuses on designing, developing, and maintaining high-quality data pipelines and analytics solutions to support investment reporting.
Key Responsibilities
- Build and optimize data pipelines
- Conduct complex data analysis
- Collaborate on data projects
- Write automated tests
- Coach team members
Technical Overview
Stack includes Python, R, SQL, Java, Scala, Spark, with emphasis on data transformation, automation, and DevOps integration.
Ideal Candidate
The ideal candidate is a lead data engineer with extensive experience in building data pipelines, performing data analysis, and deploying solutions using Python, R, SQL, and Spark technologies. They should have strong coaching skills and a solid understanding of SDLC and DevOps practices.
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 Spark or Pyspark, No experience with SDLC or DevOps tools, No experience with data pipelines
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