Negotiable
Outside
Remote
USA
Summary: The Data Engineer with a Java background will focus on data engineering tasks, leveraging skills in Azure, Databricks, Python, and SQL. The role requires extensive experience in data engineering and familiarity with microservices development in Java. The position is remote, with a preference for candidates in the Eastern time zone. The contract duration is for over six months, with potential for extension based on performance and project needs.
Key Responsibilities:
- Develop and design scalable microservices in Java.
- Utilize Azure, Databricks, and Azure Data Factory for data engineering tasks.
- Support the Associate Technology pillar, specifically in Supply Chain RMS - Planning, Buying, and Forecasting Data.
- Implement data governance practices, including the use of Unity Catalog.
- Work with data modeling tools and frameworks.
- Apply strong understanding of data engineering concepts and hands-on experience with Databricks.
- Collaborate with teams to ensure effective data architecture and system design.
Key Skills:
- 8+ years of experience in data engineering or related fields.
- Proficiency in Python, PySpark, and SQL.
- Experience with Azure, Databricks, and Azure Data Factory.
- Knowledge of data governance practices.
- Familiarity with system design concepts relevant to data architecture.
- Experience with data modeling tools and frameworks.
- Strong understanding of data engineering concepts.
- Experience developing/designing scalable microservices in Java is a plus.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Job Title: Data Engineer with Java background
Location: No location requirements but Eastern time zone is preferred
Duration: 06+ Months Contract [Potential for Extension based on performance and project needs]
Top Skills: Azure, Databricks, Python, PySpark, SQL, Azure data factory and Java
Required Technical Skills:
- 8+ years of experience in data engineering or related fields.
- Proficiency in Python, PySpark, and SQL.
- Azure, Databricks, and Azure data factory
- Experience developing/designing scalable microservices in Java would be a plus.
- Experience with data modelling tools and frameworks.
- Strong understanding of data engineering concepts and hands-on experience with Databricks.
- Familiarity with system design concepts relevant to data architecture.
- Knowledge of data governance practices, including the use of Unity Catalog.
- These developers will support the Associate Technology pillar, specifically Supply Chain RMS - Planning, Buying, and Forecasting Data