Senior Data Engineer

Must have:

• Proven hands-on experience designing, building, and maintaining data solutions using Databricks and Azure Data Factory.
• Experience in gathering and translating business requirements into effective technical solutions.
• Strong background in building and optimizing ETL (Extraction, Transformation, Loading) processes using Azure Databricks and SQL technologies
• Experience in designing and maintaining data architectures and data models that support business intelligence and analytics
• Ability to implement processes and systems to monitor and ensure data quality, accuracy, and availability
• Demonstrated ability to work with analytics, business, product, and executive teams to improve data models and resolve technical issues.
• Experience delivering and operating data platforms throughout their lifecycle (Development + Operations)
• Capable of providing technical leadership regarding implementation (How”) and supporting shared product delivery responsibility
• Excellent verbal and written communication skills for cross-functional collaboration

Good to have:

• Experience designing and evaluating tools for data lineage, metadata management, and data quality
• Exposure to DevOps practices in data platform delivery and operations
• Experience working with business units to develop long-term strategies for data platform architecture
• Proactive in identifying and implementing improvements to data architecture and processes
• Familiarity with BI tools and improving data accessibility for data-driven decision making
• Experience supporting teams and IT/D products in data modelling and analysis