Senior Data Warehouse Engineer

Note: This is W2 only role, C2C candidate please excuse, Candidates who are looking for sponsership please excuse Title: Senior Data Warehouse Engineer Duration: 12- months Location: Austin, TX - Hybrid (Onsite 3 days a week) Interviews: • One screening call, followed by 2 interviews with a panel. • Virtual interviews are fine and needs to be a video interview. • Candidate also needs to be at a place where there is good connectivity. Top 3 skills: • Databricks Data Warehouse and a solid understanding of data warehousing principles • Develop and maintain scalable ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes • Programming skills in languages such as Python, SQL, Scala, or Java - Python and SQL are the most important • Power BI knowledge would be beneficial, but is not a requirement Responsibilities: • Design, build, and maintain efficient and reliable data pipelines to move and transform data (both large and small amounts) within our Azure ecosystem. • Work closely with Azure Data Lake Storage, Azure Databricks, and Azure Data Explorer to manage and optimize data processes. • Develop and maintain scalable ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes. • Ensure the seamless integration and compatibility of data solutions with Databricks Unity Catalog Data Warehouse and adhere to general data warehousing principles. • Collaborate with data scientists, analysts, and other stakeholders to support data-centric needs. • Implement data governance and quality processes, ensuring data integrity and compliance. • Optimize data flow and collection for cross-functional teams. • Provide technical leadership and mentorship to junior team members. • Stay current with industry trends and developments in data architecture and processing. Requirements: • Bachelor’s or master’s degree in computer science, Engineering, or a related field. • Minimum of 5 years of experience in a Data Engineering role. • Strong expertise in the Azure data ecosystem, including Azure Data Lake Storage, Azure Databricks, and Azure Data Explorer. • Proficient in Databricks Data Warehouse and a solid understanding of data warehousing principles. • Experience with ETL and ELT processes and tools. • Strong programming skills in languages such as Python, SQL, Scala, or Java. • Experience with data modeling, data access, and data storage techniques. • Ability to work in a fast-paced environment and manage multiple projects simultaneously. • Excellent problem-solving skills and attention to detail. • Strong communication and teamwork skills.