Job Description
Drive innovation as a Data Engineer with Databricks and Azure. Build data-driven applications that enhance digital experiences, working in an agile team focused on impactful solutions.
In this role, you'll be responsible for designing and developing scalable ELT/ETL pipelines and data infrastructure within a cross-discipline agile team. Collaborate closely with Data Architects to ensure a single source of truth for data while optimizing performance and data quality for business intelligence applications.
Key Responsibilities: • Design and implement ELT/ETL data pipelines • Build and manage data lakes and warehouses • Collaborate on data models for visualization • Troubleshoot data ingestion and transformation issues • Optimize automated data delivery processes
Requirements: • 4-6 years as a Data Engineer in Big Data • Proficiency in Azure Databricks and SQL • Experience with data integration across platforms • Knowledge of agile methodologies and DevOps • Str...
In this role, you'll be responsible for designing and developing scalable ELT/ETL pipelines and data infrastructure within a cross-discipline agile team. Collaborate closely with Data Architects to ensure a single source of truth for data while optimizing performance and data quality for business intelligence applications.
Key Responsibilities: • Design and implement ELT/ETL data pipelines • Build and manage data lakes and warehouses • Collaborate on data models for visualization • Troubleshoot data ingestion and transformation issues • Optimize automated data delivery processes
Requirements: • 4-6 years as a Data Engineer in Big Data • Proficiency in Azure Databricks and SQL • Experience with data integration across platforms • Knowledge of agile methodologies and DevOps • Str...
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