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Backend Engineer
Baylor Scott & White Health
Token rewards eligibleHiring multiple talentOverview
You'll Develop, design, and development of robust and scalable cloud data warehouse, data pipelines and business intelligence solutions. You'll work with the enterprise Analytics team, their data scientists, and various functional SMEs to understand the business requirements. You'll collaborate to deliver high quality large datasets to support machine learning, real-time business analysis and customer reporting needs. Data-sharing will be across the enterprise and with our external partners. This requires interfacing with other technology teams to extract, transform, and load data from a wide variety of internal and external data sources, and to establish standards for related technology and business processes.
Skills
Requirements
4+ years of related experience within a corporate environment required; experience must include successful track record with data warehouse and data engineering architecture, designing highly scalable ELT/ETL batch and stream processes. At least 3 years’ experience of development and rendering Azure. Developed large-scale cloud-based data solutions, performed data pipeline architectural assessments, examined architectural alternatives, and helped choose the best solution in collaboration with IT. Developed solutions on key data management and analytics platforms and tools, including Snowflake in Azure cloud. Expertise in Azure Data bricks (Apache Spark), Azure Data Lake, Azure Machine Learning, Azure Stream Analytics, DBT, Microsoft Synapse, etc.
Duties
Designing and creating database objects such as tables, views, and stored procedures Optimizing and tuning the performance of the data warehouse Managing and monitoring the security of the data warehouse Ensuring data integrity and data quality Troubleshooting and resolving issues with the data warehouse Managing and automating data loads and backups Collaborating with other teams to understand their data needs and integrate them into the data warehouse Keeping up to date with new Snowflake features and best practices
The Hiring Process
In order to apply for this position, first complete your profile on www.app.outdefine.com.
We want to learn more about you, so we encourage you to provide us with a brief summary of yourself and your past experience as part of the process. As soon as this is completed, you'll take a technical assessment based on your skill set, and if you pass, you'll earn 500 Outdefine tokens. We will review your application, and if you are qualified, we will invite you to a 1:1 video interview.
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Equal Employment Opportunity
We are an equal-opportunity employer and do not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status. We are committed to creating a diverse and inclusive environment for all employees and applicants for employment. All qualified individuals are encouraged to apply and will be considered for employment without regard to any legally protected status.
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