Staff Software Engineer

4 days ago

Pune, Maharashtra, India Addepar Full time ₹ 10,00,000 - ₹ 25,00,000 per year

The Role

Be at the forefront of building the modern data platform at Addepar

Addepar is hiring a hands-on staff engineer who will bring technical vision to build the core infrastructure and toolings for the modern data platform of Addepar.

What You'll Do

  • Work in partnership with engineering partners and other platform users to identify requirements and priorities, and map out solutions for challenging technology and workflow problems
  • Make Addepar's Data Lakehouse the central financial data hub by establishing integrations with various data sources
  • Act as a technical lead for a high-performing team of engineers in India who can design, develop, and deploy data Lakehouse solutions with a focus on infrastructure and data tooling and integrations, and help other teams at Addepar build on top of the Addepar Data Lakehouse
  • Lay a solid foundation of the software architecture for the team in system design and code development

Who You Are

  • Minimum 9+ years of relevant work experience in data platform development and management, with a strong foundation in data engineering, cloud infrastructure and platform toolings for internal teams
  • A confident and positive outlook with low ego; high degree of ingenuity, resourcefulness, and problem-solving skills
  • Comfortable working in a cloud context, with automated infrastructure and service-oriented architecture
  • A product and customer oriented mindset
  • Our engineering stack has PySpark on Databricks for data engineering, terraform for infrastructure, streamlit for light-weight tooling apps; while experience in these technologies is preferred, there is flexibility to cross-train if coming from another similar context
  • Experience with Java or Python will be required
  • Practical knowledge of agile practices with an outlook that prioritises experimentation and iteration combined with an ability to guide teams toward activities and processes that facilitate optimal outcomes
  • Experience with AWS will be highly preferred

Important Note: This role requires working from our Pune office 3 days a week (hybrid work model)

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