обновлено 3 дня назад
Senior Engineer, IT (Data Engineering)
157 414 - 162 125$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Engineer, IT (Data Engineering): Building and optimizing high-volume data pipelines, warehouses, and integration solutions with an accent on Azure data processing, SAP integration, ETL, and data modeling. Focus on validating data quality, troubleshooting extract delivery, collaborating with Data Scientists and governance teams, and developing reusable data assets for reporting.
Location: Remote within the United States; Irving, Texas is listed as the role location. Requires 10% domestic travel.
Salary: $157,414–$162,125 per year, plus eligibility for an annual bonus.
Company
supplies building materials, value-added components, and building services to the professional home-building market.
What you will do
- Lead moderately complex projects from technical design through completion.
- Manage administration failures and messaging events as an on-call subject matter expert.
- Test ETL processes, troubleshoot data issues, and perform data validation and unit testing.
- Develop data architectures and optimize pipelines for high-volume data storage, integration, and processing.
- Transform and model data for warehouse tables optimized for reporting.
- Collaborate with Data Scientists, MDM, and Data Governance teams on architecture, specifications, and defect resolution.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Electronics Engineering, or a related field.
- At least 72 months of experience in the offered role or a related occupation.
- Python, PySpark, SQL, Linux shell scripting, and PowerShell.
- Azure data-processing services such as Databricks or Data Factory, plus Azure DevOps CI/CD pipelines.
- SAP integration using BODS or HANA, SAP HANA data objects, and underlying data models.
- Experience with Delta Lake, Lakehouse, data warehouses, ODS, data modeling tools, Kafka, SSIS or Informatica, Master Data Management, Data Governance, and data visualization and reporting.
Culture & Benefits
- Highly collaborative environment focused on solving problems and improving business and career development.
- Training, tools, and technologies supporting professional development.
- Medical, dental, vision, and disability insurance.
- 401(k) retirement savings plan, paid time off including paid sick time, and eight paid holidays.
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