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Azure Databricks Data Engineer
2 months ago
About 83zero
We are a leading data-driven organization, and we're looking for a skilled Data Engineer to join our team. As a Data Engineer with an Azure focus, you will be an integral part of our team dedicated to building scalable and secure data platforms.
Your Role
As a Data Engineer, you will be responsible for designing and building high-performance data pipelines using Databricks and Apache Spark. You will also develop and maintain secure data warehouses and data lakehouses, implementing data models, data quality checks, and governance practices to ensure reliable and accurate data.
Key Responsibilities
- Design and build high-performance data pipelines using Databricks and Apache Spark
- Develop and maintain secure data warehouses and data lakehouses
- Build and deploy AI/ML models using Databricks ML and Azure ML
- Monitor and optimize data pipelines and infrastructure
- Collaborate with cross-functional teams to ensure successful data platform implementations
Requirements
To be successful in this role, you will need:
- Minimum 3+ years of experience as a Data Engineer or similar role
- Proven expertise in Databricks, Apache Spark, and data pipeline development
- Strong understanding of data warehousing concepts and practices
- Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks, and Azure Data Factory
- Knowledge of SQL and scripting languages like Python or Scala
- Hands-on experience with AI/ML concepts and tools
- Excellent problem-solving and analytical skills
- Strong communication and teamwork skills
- Passion for data and a thirst for learning
Security Clearance
To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.