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54 Caslon Corporation Jobs

Senior Data Analytics Engineer

4-9 years

Pune

1 vacancy

Senior Data Analytics Engineer

Caslon Corporation

posted 1mon ago

Job Description

  • Job Description Job Purpose 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

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