Position Details
About this role
This role involves developing data engineering pipelines, dashboards, and reports to support business intelligence and analytics teams within a hybrid work environment.
Key Responsibilities
- Develop data pipelines and dashboards
- Partner with stakeholders to define data needs
- Translate requirements into technical solutions
- Support selfservice analytics
- Collaborate with IT and analytics teams
Technical Overview
Focus on data pipeline development using Databricks, SQL, Snowflake, and visualization with Power BI, supporting advanced analytics and data science initiatives.
Ideal Candidate
The ideal candidate is a mid-level data engineer with 3+ years of experience in building data pipelines using Databricks, SQL, and Snowflake. They should have strong knowledge of data warehousing, data lakes, and visualization tools like Power BI, with a focus on supporting analytics and data science teams.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 3 years of experience in data engineering, Lack of experience with Databricks or Snowflake, No knowledge of data warehousing or data lakes
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile