Vacancy expired!
Location: Chandler, AZ Description: We are looking for a Data Engineer with strong presentation skills. If you are interested in this position please apply or send resumes to
DATA ENGINEER: RESPONSIBILITIES Prototype, build, deploy and manage data engineering pipelines Work with other data engineers, business intelligence experts, and data scientists to solve real-life, challenging business problems Work with other senior members and leadership on the development and optimization of data environment to centralize data access to business users Work on processes to optimize and monitor complex data based on governance strategy along with providing feedback to make sure the strategy aligns with available technical resources and provide recommendations for solutions when needed Work within a group to identify best practices for achieving a stakeholder's end goal. Share knowledge and/or assist each other with thinking through a problem to develop a solution Work with other departments outside of the Global BI group to assist with gathering knowledge needed to fine-tune technical requirements to ensure high-quality data is consumed and optimized for business use cases Work within a group to produce scalable data processes to be used in platforms for both exploratory analytics and near/real-time analytics for other members within Global BI and business users Be able to explain to business users the benefits of this data method and provide examples on how to access the platform along with usage Provide insight to the team and leadership best practices whether from experience and/or knowledge acquired through other sources (industry research articles, training, etc.) REQUIRED QUALIFICATIONS Degree in computer science or related field. 3+ years of relevant professional experience. Extensive experience in SQL, Python (3.x), and PySpark Experience with batch and real-time data processing tools and technologies: Azure Databricks/Spark, Azure Synapse/DW, Azure Analysis Services, Azure Data Factory- Deep experience with data engineering, big data and analytical technologies using Azure cloud-based data platforms
- Knowledge of distributed data solutions, storage systems and columnar databases
- Familiarity with Continuous Integration/Continuous Deployment, Git.
Vacancy expired!