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    Data Engineer III - Scottsdale, United States - Troon Golf

    Troon Golf
    Troon Golf Scottsdale, United States

    2 weeks ago

    Default job background
    Description

    Data Engineer is responsible for building a leading-edge Data & Analytics platform for enabling our new Troon Data Estate architecture & related analytics, business domain specific analytics & management (Finance, HR, Operations, & other), and general enterprise analytics needs. Designs, develops, maintains, and supports the cloud-based (Microsoft Azure) big data platform and uses modern data engineering design patterns and tools across the MSFT Data Platform.

    $100,000-$130,000 BOE

    Essential Duties:

    • Designs, builds and maintains scalable, automated data pipelines to enable Reporting, Data Visualization, Advanced Analytics, Data Science, and Machine Learning solutions.
    • Supports critical data pipelines with a scalable distributed architecture, including data ingestion (streaming, events, and batch), data integration (ETL, ELT, Azure Data Factory), and distributed data processing using Databricks Data/or other & Analytics and Azure Cloud Technology Stacks.
    • Builds cloud data solutions using multiple technologies, such as SQL, Python, Data Lake (Databricks Delta Lake/or other), Cloud Data Warehouse (Azure Synapse), RDBMS, NoSQL databases.
    • Implements best practices for data management in Microsoft Azure, such as data quality, data governance, data security, data lineage, data cataloging, etc.
    • Deploys, automates, maintains, and manages cloud-based production systems to ensure the availability, performance, scalability, and security of production systems.
    • Works with other engineers and stakeholders to understand business requirements and translate them into data models and architectures that meet performance, scalability, reliability, and security standards.
    • Owns end-to-end design and development, testing, the release of critical components using Databricks technology stack and Microsoft Azure cloud platforms and services.
    Education/Experience:
    • Minimum BA or BS degree in Computer Science, Information Systems, or related field required. MS in Business Analytics or related discipline preferred.
    • Minimum 6 years of experience in creating robust enterprise-grade data engineering pipelines using SQL, Python, Apache Spark, ETL, ELT, Databricks Technology Stack, Azure Cloud Services, Cloud-based Data and Analytics platforms required. 4-5 years preferred.
    • Experience with Microsoft Azure Data Services and SQL Server, tasks to include design, implementation, maintenance and performance monitoring of database instances.
    • Experience in distributed data (structured, semi-structured, unstructured, streaming) processing techniques using Apache Spark, Hadoop, Hive, Kafka, and big data ecosystem technologies preferred.
    Job Knowledge, Skill, and Ability Preferences
    • Knowledge and understanding of Microsoft Entra and RBAC models for data security and access controls a plus.
    • Emphasis on Azure SQL virtual machines (IasS) as well as Azure SQL Managed instances (PaaS), with a primary goal of providing consistent database availability and performance for all applications utilizing these environments.
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