Position Details
About this role
This role involves designing and building scalable data pipelines and analytics systems using modern cloud-based tools to support business decision-making.
Key Responsibilities
- Design scalable ETL processes
- Build data pipelines using cloud tools
- Develop analytics systems for lakehouse environments
- Manage real-time and batch data feeds
- Collaborate with teams on data architecture
Technical Overview
The technical environment includes SQL, ETL processes, Data Lake, Spark, Azure Data Factory, Azure Synapse Analytics, Databricks, Azure Data Explorer, Kusto, Delta Lake, and cloud data architecture.
Ideal Candidate
The ideal candidate is a mid-level data engineer with at least 5 years of experience in SQL, ETL processes, and cloud data platforms like Azure. They should have strong skills in building scalable data pipelines and working with big data technologies.
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 Azure Data Factory or Azure Synapse, Less than 3 years of experience in data engineering, No experience with big data tools like Spark or Databricks
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