Senior Data Engineer

Global technology and data company helping investment professionals provide informed guidance, managing over $6 trillion in assets across 45+ countries.
Data
Senior Software Engineer
Hybrid
1,000 - 5,000 Employees
7+ years of experience
Finance

Description For Senior Data Engineer

Addepar, a leading global technology and data company managing over $6 trillion in assets, is seeking a Senior Data Engineer to join their Reference Data Team within the Addepar Platform team. This role is crucial in managing the company's comprehensive data fabric that serves as a single source of truth for their product set.

The position involves working with market and security master data from third-party providers, focusing on data acquisition, conversion, cleansing, reconciliation, modeling, tooling, and infrastructure. You'll be part of a team that enables alignment across public and alternative investment data products, directly impacting the company's core business.

Working in a hybrid model from the Pune office, you'll collaborate with product counterparts in an agile environment, utilizing a modern technology stack including PySpark, Python, AWS, Terraform, Java, and Kubernetes. The role requires strong technical expertise, with 7+ years of experience and proficiency in object-oriented programming and database management.

This is an excellent opportunity for someone passionate about FinTech and solving complex investment management challenges. You'll be joining a company that values ownership, collaboration, client success, innovation, and continuous learning. Addepar maintains a strong commitment to diversity, inclusion, and equal opportunity, ensuring all team members can contribute to transforming the investment industry.

The company's global presence, with offices in Silicon Valley, New York City, Salt Lake City, Chicago, London, Edinburgh, and Pune, offers exposure to an international work environment. This role provides the perfect blend of technical challenges, business impact, and professional growth opportunities in the financial technology sector.

Last updated a month ago

Responsibilities For Senior Data Engineer

  • Partner with multi-functional teams to design, develop, and deploy scalable data solutions
  • Build pipelines for ingestion, analysis, and enrichment of financial data
  • Advocate for standard methodologies and find opportunities for automation
  • Develop and maintain process controls and metrics for data quality
  • Work in a fast-paced environment to deliver high-quality results

Requirements For Senior Data Engineer

Python
Java
Kubernetes
  • 7+ years of professional software data engineering experience
  • Computer science degree or equivalent experience
  • Proficiency with object oriented programming (PySpark, Python, Java)
  • Proficiency with relational databases, SQL and data pipelines
  • Strong problem solving skills
  • Experience with public cloud (AWS preferred)
  • Experience with data-lake or data platforms like Databricks preferred

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