Data Engineer

• Support client engagements as a contributing project team member
• Gather and understand business and technical requirements
• Translate requirements into technical tasks under senior team guidance
• Prepare presentations, documentation, and deliverables
• Develop and support data solutions using Snowflake, Databricks, AWS, Microsoft Fabric, Azure, and DataVault Data Automation
• Build and maintain primarily batch data pipelines, with exposure to near real-time processing
• Develop ETL/ELT and data integration processes
• Contribute to data lakes and data warehouses
• Follow coding, testing, and performance optimization best practices
• Troubleshoot and resolve data issues with senior team members
• Participate in code reviews, testing, and quality assurance
• Manage assigned tasks and deliver within project timelines with minimal oversight
• Prepare curated datasets for analytics and reporting
• Support machine learning data preparation
• Maintain knowledge of tools, technologies, and best practices
• Support data governance, data quality, security, compliance, metadata, lineage, and technical documentation
• Build client relationships and assist leadership with business growth
• Identify new ways to contribute and support collaborative delivery

Explore Data Engineering Consultant – Databricks at FormativGroup. Review requirements and application details.

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