Position Details
About this role
This role involves developing and troubleshooting data integration processes, working with cloud data platforms, and ensuring data quality for business analytics.
Key Responsibilities
- Partner with stakeholders to understand requirements
- Develop ETL and data integration processes
- Troubleshoot data issues
- Perform data analysis and validation
- Adhere to best practices for data modeling
Technical Overview
The technical environment includes Azure Data Factory, Databricks, SQL, Python, Java, Kafka, and Agile methodologies for data engineering projects.
Ideal Candidate
The ideal candidate is a mid-level data engineer with at least 5 years of experience in ETL processes, data integration, and cloud data platforms like Azure Data Factory and Databricks. They should have strong troubleshooting skills and experience working in Agile environments.
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 5 years of relevant experience, Lack of experience with Azure Data Factory or Databricks, No SQL or programming skills
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