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Azure Databricks Data Engineer
2 months ago
We are seeking a highly skilled Data Engineer to join our team at 83zero, specializing in Azure Databricks. As a key member of our data platform team, you will be responsible for designing, developing, and implementing scalable and secure data solutions.
Key Responsibilities- Design and Build High-Performance Data Pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services.
- Develop and Maintain Secure Data Warehouses and Data Lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data.
- Build and Deploy AI/ML Models: Integrate Machine Learning into data pipelines, leverage Databricks ML and Azure ML to develop predictive models and drive business insights.
- Monitor and Optimize Data Pipelines and Infrastructure: Analyze performance metrics, identify bottlenecks, and implement optimizations for efficiency and scalability.
- Collaborate with Cross-Functional Teams: Work closely with business analysts, data scientists, and DevOps engineers to ensure successful data platform implementations.
- 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.
