Position Details
About this role
This role involves designing and building analytics-ready datasets on cloud platforms, supporting business intelligence and advanced analytics through data modeling, pipeline development, and data quality management.
Key Responsibilities
- Design analytics data models
- Build and maintain data pipelines
- Implement data quality checks
- Support BI and analytics teams
- Optimize data workflows
Technical Overview
The technical environment includes Databricks, AWS services like S3, Glue, Redshift, Lambda, and tools for data modeling, ETL/ELT pipelines, and streaming data processing.
Ideal Candidate
The ideal candidate is a mid-level data engineer with 5+ years of experience in analytics engineering, proficient in Databricks, AWS, and SQL. They have strong skills in data modeling, pipeline development, and supporting BI and analytics teams.
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 Databricks or AWS, No background in data engineering, Insufficient SQL or Python skills, No experience supporting BI or analytics teams
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