обновлено 1 день назад
Senior Data Ops Developer (Azure)
94 000 - 151 000$
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Ops Developer (Azure): Designing and maintaining cloud-based data pipelines and automated data solutions for an enterprise data platform with an accent on SQL, Azure infrastructure, data lakes, warehouses, and Spark-based workflows. Focus on integrating disparate data sources, optimizing scalable storage and processing, and translating business requirements into reliable technical solutions.
Location: US, Austin Las Cimas; hybrid work
Salary: $94,000–$151,000 USD annually
Company
develops business software, data, AI, and cognitive ERP solutions for essential businesses and global supply chains.
What you will do
- Design, implement, and maintain cloud-based data pipelines for ingesting, storing, processing, and analyzing large data volumes.
- Translate business requirements into scalable, reliable, and maintainable technical solutions with data engineers, analytics teams, and stakeholders.
- Build automated solutions for Quote-to-Cash, Quote-to-Fulfillment, analytics, and other business processes.
- Evaluate Azure infrastructure and cloud services for scalability, performance, extensibility, cost, security, and operational support.
- Integrate disparate data sources while maintaining data quality, integrity, accuracy, and timeliness.
- Design and optimize data lakes, warehouses, marts, Azure SQL solutions, and Spark-based workflows.
Requirements
- 2–3+ years of experience in data engineering, analytics engineering, DataOps, business intelligence engineering, or a related technical field.
- Strong SQL skills and experience with data pipelines, platforms, warehouses, lakes, or similar data environments.
- Experience gathering requirements and explaining technical concepts to technical and nontechnical audiences.
- Strong analytical, strategic-thinking, creative problem-solving, written, and verbal communication skills.
- Ability to work independently, take ownership, and collaborate effectively.
- Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, or a related field, or equivalent practical experience.
Nice to have
- Experience with Microsoft Azure, Azure SQL, Azure Data Lake, Azure data warehousing services, or other cloud-native data technologies.
- Experience with PySpark, Apache Spark, Python, or comparable data-processing technologies.
- Exposure to AI-enabled solutions, Azure AI, generative AI APIs, or Hugging Face.
- Experience creating automation tools, chatbots, agents, or productivity solutions for business users.
Culture & Benefits
- Health and wellness benefits.
- Mentorship, continuing education, career goal setting, and internal mobility opportunities.
- Free LinkedIn Learning licenses and a mentoring program.
- Inclusive global workplace focused on collaboration and innovation.
- Work-life balance policies supporting time off.
- Support for international relocations and permanent residency processes.
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