- 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.
- 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.
- 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.
- 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.
- 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.
- Minimum 5+ years of experience as a Data Engineer or similar role with a focus on cloud data platforms.
- Proven experience in designing, developing, and managing data pipelines on Microsoft Azure using Azure Data Factory and related services.
- Proficiency in SQL programming and relational database management systems (e.g., SQL Server).
- Strong understanding of data warehousing concepts (e.g., star schema, snowflake schema) and data modeling principles.
- Experience with big data processing tools and technologies.
- Experience in database performance tuning and optimization.
- Familiarity with data security, compliance, and governance best practices in the cloud.
- Excellent documentation skills with the ability to create and maintain comprehensive technical documentation.
- Experience with data visualization tools (e.g. Power BI) to create dashboards and reports.
- Experience with DevOps principles and practices for data pipelines.
- Experience with infrastructure as code (IaC) tools.
- Experience with cloud cost optimization strategies.
- Previous experience in a music tech, media tech, or fintech company is a strong advantage.
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Medical, Dental, and Vision coverage
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Sr. Azure Data Engineer - Nashville, United States - Mozaic
Description
Job Description
Job DescriptionWe 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:
Data Ingestion & Processing:
Data Modeling & Warehousing:
Collaboration & Communication:
Cloud Expertise & Innovation:
Requirements
Ideal Candidate will possess:
Benefits
Mozaic values our employees highly, and to best support them, we offer a wide array of benefits to support everyone with whatever they may need.