Vacancy expired!
- Builds and maintains Azure data platform including enterprise data lake and data warehouse in alignment with our strategic objectives and organizational goals
- Incorporates Azure data platform best practices into Azure data platform
- Develops policies and implements mechanisms for data ingestion into Azure data platform from various sources
- Supports & mentors the data team on best practices & methodologies
- Leads navigating challenging or technical situations to find best business outcomes
- Works with Microsoft support to ensure an ongoing stable data system.
- Configures, validates, and implements various Azure tools such as but not limited to Databricks, Data Factory, Data Lake, Synapse Analytics and Data Catalog as appropriate
- Works with the Manager, Data Architecture to define and implement robust data governance, certification, and management policies and mechanisms
- Converts functional requirements into technical specifications; creates technical documentation as needed
- Develops and maintains relationships with vendors
- Assists in maintaining business documentation for the data and data structure in the data warehouse
- Other duties as assigned
- Configures APIs for data extraction
- Creates and organizes Data Lake and Azure Synapse serverless objects to optimize performance
- Actively collaborates with the business intelligence team, business teams, project teams, and others to understand data requirements, integration needs, constraints, and performance requirements
- Bachelor's Degree in Computer or Data Science, Data Analytics, Statistics, or Information Management (Required)
- 3 years experience designing and building enterprise data lake
- 5 years experience designing and building an enterprise data warehouse
- 5 years of experience in modern data platforms based on Azure including but not limited to Azure Data Lake, Azure Data Factory, Azure Databricks, Synapse Analytics (Required)
- Proficient in creating data factory pipelines; copy activity, custom Azure development, custom databricks development (Required)
- Experience with ELT and ETL processes (Required)
- Advanced SQL experience and organizing database for query performance (Required)
- Experience with one or more object-oriented programming languages such as Python, C#, Java or JavaScript (Required)
- Experience using big data file formats and compression techniques
- Experience with CI/CD processes and Azure DevOps
- Ability to effectively manage multiple and competing priorities in a dynamic and fast-paced environment
- Exceptional organizational skills
- Strong attention to detail
- Ability to work well with others inside as well as outside the organization
- Excellent verbal and written communication skills
Vacancy expired!