10 часов назад
Senior Data Manager-Databricks
97 900 - 133 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Manager-Databricks (Data Analytics): Acquiring, validating, and preparing enterprise datasets for reporting and business analysis with an accent on ETL solutions, data lifecycle management, and cloud data platforms. Focus on designing data architectures, developing SQL and ETL solutions, building dimensional models, and translating complex data into actionable insights for leaders.
Location: Work at Home - Texas, United States. Remote work with occasional travel to offices for training or meetings. A dedicated, interruption-free workspace is required to protect member PHI and HIPAA information.
Salary: $97,900–$133,500 per year, plus eligibility for a bonus incentive plan.
Company
is a U.S. healthcare company providing insurance and healthcare services to Medicare and Medicaid members, families, individuals, and communities.
What you will do
- Acquire, clean, validate, store, protect, and manage datasets from internal and external sources.
- Develop and execute data architectures, policies, practices, and procedures across the enterprise data lifecycle.
- Build ETL solutions and prepare data for reporting, analysis, and visualizations.
- Analyze complex data to derive insights that support business decisions and outcomes.
- Translate business needs into technical data requirements and coordinate with business and IT teams.
- Lead data projects through design, coding, code review, deployment, and completion within scope and deadlines.
Requirements
- Bachelor’s degree.
- At least 7 years of technical data analysis experience using ETL tools and developing ETL solutions with SSIS, Azure Data Factory, and/or Databricks.
- Comprehensive knowledge of SQL, SSMS, SSIS, stored procedures, and dynamic SQL.
- Strong knowledge of cloud technologies such as Azure Synapse Analytics or Snowflake, and Power Platform tools including Power BI, Power Automate, and Power Apps.
- Experience with root cause analysis, problem-solving, process documentation, presentations, and customer satisfaction.
- Home internet with at least 25 Mbps download and 10 Mbps upload is required, along with a dedicated workspace.
Nice to have
- Master’s degree in Statistics, Mathematics, Computer Science, Engineering, or a related field.
- Healthcare or managed care experience.
- Experience building scalable dimensional data models and automating Azure Data Factory architectures.
- Experience providing guidance on data warehouse, data lake, modern BI, Azure Synapse Analytics, and Databricks architectures.
Culture & Benefits
- Remote work with telephone equipment provided for business requirements.
- Medical, dental, and vision benefits.
- 401(k) retirement savings plan, paid time off, holidays, and paid parental and caregiver leave.
- Short- and long-term disability coverage, life insurance, and other wellness benefits.
Hiring process
- Interviewing is conducted using HireVue technology.
- Applicants may be asked to provide their Social Security Number through ’s secure application process.
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