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Sr. Azure Data Engineer

Mozaic

Mozaic

Data Science
Nashville, TN, USA
Posted on Thursday, May 9, 2024

We are looking for an experienced and detail-oriented Senior Data/SQL Engineer to join our dynamic team. As a Senior Azure Data Engineer, you will play a crucial role in designing, implementing, and optimizing data storage solutions, ensuring efficient data retrieval, and supporting data-driven applications. The ideal candidate should have a strong background in SQL, database architecture, and data engineering.

Azure Data Architecture & Design:

  • Design and implement scalable data architectures on Microsoft Azure, leveraging services like Azure Data Factory, and Azure Synapse Analytics.
  • Select and configure appropriate Azure data storage solutions (e.g., Azure Blob Storage, Azure Data Lake Storage) based on specific data needs.
  • Ensure data security, compliance, and governance are implemented throughout the data lifecycle.

Data Ingestion & Processing:

  • Develop and manage efficient data pipelines using Azure Data Factory to automate data ingestion from various sources (internal applications, external APIs, streaming data).
  • Utilize Azure Services or other big data processing tools for complex data transformations and ETL (Extract, Transform, Load) processes.
  • Optimize data pipelines for performance and scalability to handle large data volumes.

Data Modeling & Warehousing:

  • Design and implement dimensional data models (e.g., star schema) within Azure Synapse Analytics or other data warehousing solutions.
  • Ensure data quality and consistency through data cleansing, transformation, and validation processes.
  • Optimize data storage and querying performance for efficient data analysis and reporting.

Collaboration & Communication:

  • Collaborate closely with cross-functional teams (product, engineering, analytics) to understand data requirements and translate them into actionable technical solutions.
  • Effectively communicate complex data architecture concepts and findings to both technical and non-technical audiences.
  • Document data pipelines, models, and procedures for knowledge sharing and future maintenance.

Cloud Expertise & Innovation:

  • Stay up-to-date on the latest advancements in Azure data services and best practices.
  • Proactively identify opportunities to leverage new Azure features to improve data management and analytics capabilities.
  • Be a champion for innovation, seeking ways to optimize data pipelines and infrastructure for efficiency and cost-effectiveness.