Senior Mortgage Data Engineer

1 day ago

Pune, Maharashtra, India beBeeMortgage Full time ₹ 15,00,000 - ₹ 28,00,000
Job Overview

We are seeking a highly skilled Data Analytics Engineer to join our team. The ideal candidate will have experience in analyzing US mortgage and residential real estate data, as well as strong exploratory data analysis skills in SQL and at least one of R, Python, or JavaScript.

Key Responsibilities
  • Collaborate with engineers, subject matter experts, and customers in the full-stack implementation of data products for mortgage capital markets applications.
  • Touch every part of the product development process, including exploratory analysis of data inputs, data modeling and management for internal platforms, and shaping end products for customers.
  • Take a substantial role in early prototyping and implementation of these products, with a focus on US mortgage and real estate markets.
  • Help define and maintain derived data layers that support a collection of related analytics products, built up on a common platform of core data assets and technologies.
Requirements
  • Experience analyzing US mortgage and residential real estate data, with demonstrably deep expertise in a few areas.
  • Strong exploratory data analysis skills in SQL and at least one of R, Python, or JavaScript.
  • Familiarity with databases and analytical tools that use SQL as a data manipulation language, especially Google BigQuery.
  • Working knowledge of DBT (Data Build Tool) or similar SQL templating systems, as well as DAG orchestration tools like Airflow.
  • Experience with projecting, measuring, and controlling cloud computing costs for product workflows.
  • Ability to collaborate with engineering teams across the lifecycle of product ideation, prototyping, and productionizing.
  • Comfortable using git version control in a collaborative working environment.
Benefits
  • Opportunity to work on complex data projects and contribute to the growth of our company.
  • Chance to develop your skills and expertise in data analytics and engineering.
  • Collaborative and dynamic work environment.
About Us

We are a company that values innovation, collaboration, and excellence. We believe in providing our employees with opportunities for growth and development, and we are committed to creating a positive and inclusive work environment.

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