Position Details
About this role
This role involves building and maintaining enterprise data lake platforms, supporting data science models, and ingestions of diverse data sources using cloud-native tech stacks.
Key Responsibilities
- Build new data sets and products
- Support data science models
- Ingest third-party data
- Evolve data schemas
- Maintain documentation
Technical Overview
The technical environment includes SQL, Power BI, cloud platforms like Azure and AWS, Snowflake, Spark, Databricks, and programming in Python. The role emphasizes data modeling, warehousing, and agile methodologies.
Ideal Candidate
The ideal candidate is a mid-level data engineer with at least 5 years of experience in data modeling, warehousing, and business intelligence tools like Power BI. They should be familiar with cloud platforms such as Azure and AWS, and have strong SQL and programming skills.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Certifications
Preferred
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience in data engineering or Power BI, No experience with SQL or data modeling, No cloud platform experience, No relevant education
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