12 часов назад
Azure Lead Data Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Azure Lead Data Engineer (Azure/Databricks): Designing, building, and evolving scalable data solutions for enterprise reporting, advanced analytics, and AI workloads with an accent on secure architecture, data governance, and batch and streaming ingestion. Focus on leading data engineering delivery, building AI-ready data platforms, collaborating with business and technical stakeholders, and mentoring engineers.
Location: Hyderabad, Telangana, India
Company
provides materials, technology solutions, and data integration capabilities across the semiconductor value chain, supporting AI, high-performance computing, and advanced connectivity.
What you will do
- Design, build, and evolve scalable data solutions for enterprise reporting, advanced analytics, and AI workloads.
- Lead and mentor the data engineering team while establishing engineering best practices and delivery standards.
- Provide technical leadership across data architecture, development, troubleshooting, operations, and delivery.
- Design and maintain scalable data ingestion frameworks for batch and streaming use cases.
- Partner with business stakeholders, Data Architects, Data Scientists, Product Owners, and Data Product Owners to translate requirements into technical designs and execution plans.
- Drive innovation, continuous improvement, business adoption of AI and advanced analytics, and platform reliability.
Requirements
- Bachelor’s degree in technology or engineering.
- 10–13 years of overall experience in Data & Analytics, including 5+ years with Azure data engineering technologies.
- 3+ years of experience leading data engineering teams or working in comparable technical lead roles.
- Hands-on experience with Azure Data Factory, Databricks, PySpark, and SQL.
- Experience with Databricks Unity Catalog, data governance and security, and CI/CD using DevOps.
- Ability to design secure, scalable, AI-ready data platforms and collaborate effectively with business and technical stakeholders.
Nice to have
- Relevant certifications in Azure, Databricks, Data Engineering, AI, or Data Governance.
Culture & Benefits
- Mission focused on making tomorrow’s technologies possible.
- Work on solutions supporting advanced electronics, semiconductors, AI, high-performance computing, and advanced connectivity.
- Environment emphasizing innovation, continuous improvement, ownership, accountability, scalability, security, and reliability.
- Comprehensive pay and benefits package.
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