обновлено 1 день назад
Data Engineer II (Azure Databricks)
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
Data Engineer II (Azure Databricks): Building finance data and processing services on a modern Azure lakehouse architecture with an accent on Python, PySpark, data transformation, and scalable backend applications. Focus on designing reliable data flows, combining financial data from multiple systems, automating testing and delivery, and operating services through quarterly closing cycles.
Location: Hyderabad, Telangana, India
Company
provides reinsurance, insurance, and insurance-based risk transfer solutions through a global network of offices.
What you will do
- Translate business requirements into technical specifications and scalable software solutions.
- Design and implement backend business services, data transformation services, and data flows using Python and PySpark.
- Build financial data services by combining inputs from multiple domains and systems.
- Own functional and non-functional requirements, including performance, reliability, availability, maintainability, and test automation.
- Collaborate with engineers, analysts, product owners, and stakeholders through design reviews, peer reviews, and technical discussions.
- Apply Agile Scrum and DevOps practices, deploy services to production, and support operations during quarterly closing cycles.
Requirements
- Bachelor’s or master’s degree in Computer Science, Mathematics, Engineering, or another relevant quantitative field.
- 6+ years of experience designing and implementing reliable, scalable software across the full development lifecycle.
- Proficiency in Python, PySpark, and SQL, with strong software engineering and analytical framework knowledge.
- Experience with Azure Databricks, Azure Data Factory, Azure Data Lake Storage Gen2, Delta Lake, Spark-based data lakes, and Terraform.
- Experience with Git, CI/CD pipelines, Azure DevOps, relational databases such as Oracle or PostgreSQL, and REST/SOAP APIs.
- Hands-on experience with unit and integration testing, problem solving, quality-focused delivery, and stakeholder communication.
Nice to have
- Experience with AI-assisted development tools such as GitHub Copilot.
- Experience with modern IDEs including Visual Studio Code or IntelliJ.
Culture & Benefits
- Work within a growing engineering team operating across Zurich and Hyderabad.
- Emphasis on clean code, automation, continuous improvement, knowledge sharing, and engineering excellence.
- Production ownership and active use of DevOps methodologies.
- Inclusive workplace focused on equal opportunities, professional development, and sustainability.
- AI-powered tools may support application review, with final hiring decisions reviewed by people.
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