WIN Home Inspection

PropTech

SeniorDataEngineer

₹18–32L ~AI est. Noida, Uttar Pradesh, India Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Data Engineer at WIN Home Inspection. Skills: Data Engineering, Data Analysis, Business Intelligence. Define data requirements. Perform data collection”

Industry & Context.

PropTech
Problems you'll solve

Understand problems; Break-down problems; Propose clear solutions

What They're Looking For.

Must Have

Bachelors in computer science, 2-5 years of experience in data analysis, Experience with data querying, Experience with data manipulation, Experience with data integration scripting, Experience with enterprise cloud computing, Experience with enterprise storage platforms

Nice to Have

Experience with visualization tools, Experience with web scraping, Experience with ETL pipelines, Experience with SQL queries

What You'll Do.

Define data requirements

Perform data collection

Ensure data integrity

Conduct hands on analyses

Conduct automated analyses

Maintain BI dashboards

Design visualizations

Maintain visualizations

Identify actionable business insights

Analyze data patterns

Analyze data correlations

Own documentation of data processes

Own documentation of schemas

Own documentation of data sets

Build using best practices

How You'll Work.

Team & Collaboration

Cross-functional teams

Full Job Description

ABOUT THE SENIOR DATA ENGINEER ROLE: WIN is looking to add Senior Data Engineer to our growing team! Ideal candidates are passionate about analyzing complex data sets, generating insights, and providing data-driven recommendations. You will be part of a multi-disciplinary team transforming the real estate industry with one of its kind disruptive services by harnessing the power of generative AI in most of our upcoming products. KEY RESPONSIBILITIES: Collaborate with cross-functional teams to define data requirements, perform data collection, and ensure data quality and integrity. Curate data sets including through hands on analyses and automated tools including web scraping, ETL pipelines and SQL queries. Conduct in-depth research and analysis to identify new data sources and complement existing data sources. Design and maintain intuitive BI dashboards, reports, and visualizations to effectively communicate complex data and insights. Identify actionable business insights through analysis of data trends, patterns, and correlations. Own documentation of data processes, schemas, and data sets Build using best practices in security, design, and data quality. REQUIRED QUALIFICATIONS: Bachelors in computer science or related technical field. 2-5 years of experience in data analysis (e. g. Python, SQL, Excel, Tableau, Looker, PowerBI) and visualization tools Experience with data querying, manipulation, and integration scripting a plus Experience with enterprise cloud computing and storage platforms (AWS, GCP etc) Thrive in a dynamic environment that requires innovation and speed of execution. Ability to understand and break-down problems and propose clear solutions. Creative and outside-the-box thinker with strategic mindset Willing to learn new technologies and platforms. Strong work ethic, high integrity, and a team-player WHAT WE OFFER: Highly inclusive and collaborative culture built on mutual respect. Focus on core values, initiative, leadership and adaptability. Stro

Free ATS check

Applying for this Senior Data Engineer role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on Greenhouse

  • Create a Greenhouse profile before applying — it saves time across multiple applications.
  • Upload your resume as a PDF; the parser handles it better than Word.
  • Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
  • Enable email notifications to track application status in real time.

ANONYMOUS · UNFILTERED

What do employees actually say about WIN Home Inspection?

Real rants from real employees. Read before you apply.

Read Company Rants →