Home
Communities
Companies
- Companies
  
  Discover best places to work
- Compare Companies
  
  Compare & find best workplace
- Add Office Photos
  
  Bring your workplace to life
- Add Company Benefits
  
  Highlight your company's perks
Reviews
- Company reviews
  
  Read reviews for 6L+ companies
- Write a review
  
  Rate your former or current company
Salaries
- Browse salaries
  
  Discover salaries for 6L+ companies
- Salary calculator
  
  Calculate your take home salary
- Are you paid fairly?
  
  Check your market value
- Share your salary
  
  Help other jobseekers
- Gratuity calculator
  
  Check your gratuity amount
- HRA calculator
  
  Check how much of your HRA is tax-free
- Salary hike calculator
  
  Check your salary hike
Interviews
- Company interviews
  
  Read interviews for 40K+ companies
- Campus placements
  
  Interviews questions for 1K+ colleges
- Share interview questions
  
  Contribute your interview questions
Jobs
Awards

WINNERS AWAITED!
- ABECA 2025
  
  WINNERS AWAITED!
  
  AmbitionBox Employee Choice Awards - 4th Edition
- ABECA 2024
  
  AmbitionBox Employee Choice Awards - 3rd Edition
- AmbitionBox Best Places to Work 2022
  
  2nd Edition
- AmbitionBox Best Places to Work 2021
  
  1st Edition

Add office photos

Employer? Claim Account for FREE

International Centre for Excellence

Compare

5.0

based on 1 Review

92 International Centre for Excellence Jobs

Senior Data Analytics Engineer

International Centre for Excellence (ICE)

5.0

based on 1 Review

4-8 years

Pune

1 vacancy

Senior Data Analytics Engineer

International Centre for Excellence

posted 2mon ago

Job Role Insights

Key skills for the job

Data Analysis Data Analytics Python SQL Cloud Computing Machine Learning

+ 3 more

Job Description

ICE Data Services (an Intercontinental Exchange company) is seeking strong candidates to join its Spatial Intelligence team. This hire will be an immediate contributor to an ambitious roadmap in US mortgage and real estate data. We re looking for someone who is highly motivated; capable of cleaning, modeling, and extracting value from datasets in new content areas; and excited to support prototyping, early commercialization, and go-to-market efforts in novel product categories.

Responsibilities

You will collaborate with engineers, subject matter experts, and customers in the full-stack implementation of data products for mortgage capital markets applications. You will touch every part of the product development process. You will pitch in on exploratory analysis of our data inputs, help lead data modeling and management for internal platforms, and shape end products for our customers. You will take a substantial role in early prototyping and implementation of these products.
The principal product focus will be in US mortgage and real estate markets. You should be comfortable wading into messy geospatial datasets, and bring some existing expertise on how mortgage and/or residential real estate markets work. You will need to build a deep understanding of our sources upstream generation processes to evaluate data quality, accuracy, and feature representations.
You will help define and maintain derived data layers that support a collection of related analytics products. This roadmap will be built up on a common platform of core data assets and technologies, where the efficient ordering of data acquisition, data integration, and product iteration will be critical to keeping outputs maintainable with a lean team.
Every member of the team shares in QA and testing responsibilities, across all levels of the data warehouse and analytical workflows. You will identify key failure points in these workflows and think about tests and strategies to mitigate them. You will learn every unique way that a source dataset might mangle a ZIP code (and why it matters for product integrity).

Knowledge and Experience

Candidates should have experience in the following areas, with demonstrably deep expertise in a few:

Experience analyzing US mortgage and residential real estate data. We care about the combination of subject-matter knowledge and clear understanding of the privacy and security requirements involved.
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).
It will be helpful to have 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 is important. Designing products with cost considerations in mind is crucial because of the size and complexity of our product data pipelines.
How to collaborate with engineering teams across the lifecycle of product ideation, prototyping, and productionizing. Some prior experience as a software/data engineer or machine learning engineer is strongly preferred.
You must be comfortable using git version control in a collaborative working environment.
Building your own ETL pipelines will not be a routine responsibility, but be ready to roll up your sleeves in a pinch. Critical thinking about ETL requirements for time series data and backtesting requirements (what did we know, when, and can we reproduce that state of knowledge) is an important skill.
Some prior experience with data visualization and statistical or ML modeling will help you succeed. If you do not have experience, you should be excited to learn this on the job.

Candidates should have excellent written and verbal communication skills to collaborate effectively with in-person and remote technical colleagues, business stakeholders, and client end-users.

Schedule

This role offers work from home flexibility of one day per week.

Employment Type: Full Time, Permanent

Read full job description