Data Engineer
The Data Engineer will be part of the Data & Analytics team works with business leaders across the enterprise to drive optimized strategy using data. This position contributes to success by building cloud-based data services for analytic solutions. You will build data pipelines that are scalable, repeatable, secure and adhere to data quality standards. Responsibilities also include evangelizing data on cloud solutions with customers, leading business and IT stakeholders through designing a robust, secure and optimized Azure architecture, and delivering the target solution. This role will involve working with customers and collaborating with internal engineering teams, development of new application functionality, as well as maintenance and support of source code for existing Azure and Snowflake data platforms using the Azure data services.
RESPONSIBILITIES:
- Translate business requirements into technical requirements to ensure solutions meet business needs
- Analyze, design, build, query, troubleshoot and maintain data pipelines (Azure Data Factory, Snowflake, Azure SQL)
- Design and develop cloud data stores (Snowflake, Azure SQL)
- Integrate API (Services) to the data management platform
- Ability to gather requirements, design and execute a solution end to end
- Investigate new technologies to improve data pipelines
QUALIFICATIONS:
- Bachelor’s degree in computer science, management information systems, or related, or equivalent experience
- Experience using Microsoft Azure for Data and Analytics solutions (Data Lake Store, Blob, SQL, Functions, Data Factory) 2+ years
- Expertise in languages like SQL, Python, R 1+ Years
- Web Application security, SSL, Active Directory, Auth0 Familiarity Desirable
- 2+ years overall Data Engineering experience
- Preferred experience with Streaming Analytics, No SQL database (Cosmos preferred), Data Warehousing & ReportingÂ