
Cloud Data Engineer
2 weeks ago
- Lead a team of data engineers to work on Data bricks, Azure data factory, and PySpark.
- Expertise in ELT - Extract, Load, and Transform - Master level.
- Strong knowledge of Data Modeling - Master level.
- Proficient in Data Integration & Ingestion - Skill level.
- Experience in Data Manipulation and Processing - Skill level.
- Skilled in SonarQube and PyTest.
Key Requirements:
- BE/MCA degree with 5+ years' experience as an Azure data engineer.
- Ready to work from home for a long-term contract role.
- Can join within 15 days.
- Must have Azure Databricks certification.
Azure Data Engineer Role Summary:
We seek an experienced Azure Data Engineer to lead our data engineering team. This role involves working with cloud-based technologies such as Data bricks, Azure data factory, and PySpark.
Key qualifications include expertise in Extract, Load, and Transform (ELT), strong knowledge of data modeling, and proficiency in data integration and ingestion.
Additional requirements include experience with SonarQube and PyTest, a Bachelor's degree in Computer Science or related field, and at least 5 years of experience as an Azure data engineer.
The ideal candidate will be able to start immediately and work from home as part of a long-term contract role.
Azure Databricks certification is required for this position.
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