Databricks Data Engineer

145-155k Bonus Fantastic Benefits / Onsite Role / Must Have Azure Databricks 3 years & Azure Data Suite Experience

The Senior Data Engineer holds the primary responsibility for skillfully designing, developing, implementing, and supporting enterprise Microsoft Azure Data Warehouse. This role assumes accountability for ensuring the dependable, efficient, and secure operation and advancement of On-Premise and Cloud Data Warehouses to effectively meet crucial business needs. As a lead figure in the organization, the incumbent will manage intricate projects and offer technical leadership and guidance in all data-related matters for the Company.

• Provide support in designing and overseeing enterprise-grade data pipelines and data stores, essential for the development of advanced analytics programs, machine learning models, and statistical methods.
• Implement automation and streamline processes to optimize the entire data and analytics platform, ensuring efficient throughput and high-performance outcomes.
• Recognize, devise, and execute internal process enhancements, including automation of manual tasks, optimizing data delivery, and redesigning architecture or infrastructure to enhance scalability.
• Collate large, intricate datasets that align with functional and non-functional business demands.
• Develop processes that facilitate data transformation, manage data structures, metadata, dependencies, and workload management.
• Collaborate with business users to understand functional and data requirements, contributing to the enhancement of data models and pipelines.

Qualifications/Competencies:

• Exhibit a thorough understanding of Data Lake architectures, including raw, enriched, and curated layer concepts, and ETL/ELT operations.
• Exhibit a solid understanding of database design, data warehousing concepts, big data platforms, and ETL operations.
• Experience working with data integration techniques & self-service data preparation.
• Experience in requirements analysis, design, and prototyping.
• Experience deploying modern data solutions leveraging components like Azure functions, Azure Data Factory, Azure Databricks, Data Flows, Azure Data Lake, Azure SQL, Azure Synapse, Streaming Analytics
• Experience with DevOps tools like Azure DevOps, Jenkins, Maven etc.
• Experience in building/operating/maintaining fault tolerant and scalable data processing integrations.
• Demonstrated experience of turning business use cases and requirements into technical solutions.
• Strong level of understanding on Azure Data Factory, SQL/Synapse, ADLS, and Azure DevOps.
• Ability to conduct data profiling, cataloging, and mappings for technical design and construction of data flows.