3 дня назад
Data Engineer II (AI)
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 (Python/PySpark, Palantir Foundry, AI): Building scalable data pipelines, analytics models, and visualizations within a modern Big Data cloud infrastructure with an accent on enterprise data platforms, reusable ETL/ELT workflows, and AI-assisted analytics. Focus on integrating Palantir AIP and LLMs, solving complex large-scale data engineering problems, and delivering reliable solutions in a globally distributed agile environment.
Location: Hyderabad, India; hybrid work with at least three days per week in the office
Company
provides reinsurance, insurance, and insurance-based risk transfer solutions, helping organizations manage risks and become more resilient.
What you will do
- Design, build, and maintain scalable data pipelines and transformation logic using Python, PySpark, SQL, and modern analytics platforms.
- Architect analytics solutions within a modern Big Data cloud infrastructure and support data democratization across the business.
- Develop analytics models and visualizations that turn complex data into actionable business insights.
- Use Palantir AIP, generative AI, and AI-assisted development tools to enhance analytics solutions and automate workflows.
- Evaluate new platform capabilities, build prototypes, and assess their applicability to the solution landscape.
- Collaborate with Product Owners, Architects, and globally distributed development teams in an agile environment.
Requirements
- Bachelor’s degree or equivalent in Computer Science, Data Science, or a related discipline.
- 3–5 years of experience with large-scale software systems and enterprise data platforms.
- Hands-on experience developing reusable ETL/ELT pipelines with Python or PySpark and strong SQL skills.
- Experience with Palantir Foundry, Snowflake, Azure Databricks, or comparable analytics platforms.
- Knowledge of data modeling, data warehousing, distributed computing frameworks, and large datasets.
- Experience with Git, Agile software delivery, and collaboration in a global multicultural environment.
Nice to have
- Experience with Palantir AIP or other AI/LLM frameworks for analytics applications.
- Experience integrating Large Language Models into analytics workflows.
- Exposure to AWS or Azure cloud environments.
- Experience with Microsoft Fabric, Spark, Hive, or Hadoop.
- Domain knowledge in insurance, financial services, or finance functions.
Culture & Benefits
- Work in a globally distributed, agile data and analytics engineering organization.
- Collaborate in a culture focused on curiosity, innovation, inclusion, and continuous learning.
- Contribute to data transformation initiatives for the Life & Health Reinsurance division.
- employs more than 15,000 people worldwide and supports equal opportunities and professional development.
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