Job description

Senior Azure Data Engineer - Databricks / Google Cloud Platform job at Jobs via Dice. Coppell, TX. 1 day ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Hybrid - Senior Data Engineer - Drive Innovative Data Solutions and Infrastructure This Jobot Job is hosted by: Liz Valdez Are you a fit? Easy Apply now by clicking the Apply Now button and sending us your resume. Salary: $125,000 - $165,000 per year A bit about us: The nation's leading supplier of biopharmaceuticals, plasma products, and vaccines with a flawless safety track record and an unwavering commitment to customer-driven innovation. Our strategic partnerships and cutting-edge distribution programs ensure cost-effective solutions and improved product availability, serving 96% of community-based hospitals and over 200,000 customers. Why join us? Comprehensive Health benefits + EAP 401k, Profit Sharing Retirement Plan Tuition Reimbursement Program HSA, FSA, Dependent Care Flex Spending Acct Life, AD&D, & AFLAC Plans Paid Vacation/Holidays Paid Sick Leave Job Details As a Hybrid 3/2 onsite in Flower Mound, TX Senior Data Engineer, you will play a critical role in the following areas: Design, build, and manage our data infrastructure using Azure Databricks, Google Cloud Platform (Google Cloud Platform), and other leading technologies. Develop and optimize LARGE data pipelines, architectures, and data sets using Python, SQL, and Apache. Utilize Fivetran, Delta Lake, and other tools to ensure the efficient and reliable flow of data throughout our systems. Collaborate with data scientists and analysts to create and maintain optimal data delivery architecture. Develop and implement data governance and security measures. Use Power BI, Tableau, and other data visualization tools to create insightful, user-friendly interfaces for our data. Develop and maintain JAR (Java Archive) files and related applications. Continuously evaluate and identify ways to improve our data reliability, efficiency, and quality. Collaborate with various teams and stakeholders to understand and address their data needs. Stay abreast of industry trends and innovations and apply this knowledge to your work. Qualifications: A Bachelor's degree in Computer Science, Information Systems, or a related field. Master's degree is a plus. 5+ years' experience in a Data Engineer or similar role (9 years' experience for non-degreed). Any technical lead experience is a PLUS! Proven experience with Databricks, Azure, Python, Delta Lake, Fivetran, Google Cloud Platform (Google Cloud Platform), Power BI, Tableau, JAR, SQL, Java Archive, Apache, Extensive experience designing, building, and maintaining data pipelines and architectures. Strong knowledge of data management principles, including data governance and data security. Proficiency in data visualization and reporting tools. Interested in hearing more? Easy Apply now by clicking the Apply Now button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Information Technology Industries Software Development Referrals increase your chances of interviewing at Jobs via Dice by 2x Sign in to set job alerts for “Senior Data Engineer” roles. 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