Data Engineer

• Design, build, and maintain scalable data pipelines and ETL/ELT processes to support analytics and business intelligence
• Develop and optimize data models for both operational and analytical systems
• Implement best practices for data ingestion, transformation, storage, and retrieval across environments
• Collaborate with data scientists, analysts, and business stakeholders to define data requirements and deliver reliable solutions
• Ensure data quality, consistency, and governance through monitoring, testing, and validation frameworks
• Write and maintain efficient SQL queries, stored procedures, and scripts for data processing
• Work with structured and unstructured data from multiple sources (databases, APIs, streaming platforms, third-party feeds)
• Optimize performance and scalability of large datasets using distributed computing frameworks (e.g., Spark)
• Apply security, compliance, and privacy standards to data solutions
• Curate data for reusability and ensure normalization, deduplication, and metadata reconciliation
• Troubleshoot data-related issues to ensure minimal downtime and reliable delivery of data products
• Provide Data Quality measures and improvements for silver and gold data zones
• Ensure data is discoverable, well-managed, and integrated with metadata and business rules using tools like Collibra
• Coordinate across Advana lines of business to link mission critical data with other domain data
• Auto-catalog data sources and integrate with data dictionaries and metadata to expose data descriptions and business rules

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