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Open nowData and MLEngineering

Principal Data Engineer

MadKudu · Pune, Maharashtra

Location
Pune, Maharashtra, India
Level
Principal
Posted
9 September

About this role

About HG
HG Insights is the pioneer of Revenue Growth Intelligence. For more than a decade, we have delivered comprehensive, AI- driven datasets on B2B buyers, technology adoption, IT spend, and buyer intent, sourced from billions of data points.
Today, we are a trusted partner to Fortune 500 technology companies, hyperscalers, and innovative B2B vendors seeking precise go-to-market analytics and decision-making. Through an evolving suite of AI agents that incorporate first-party data and buyer signals, HG Insights enables AI-powered GTM automation across sales, marketing, RevOps, and data analytics teams, modernizing GTM execution from strategy through activation.

About the Role
This is a senior individual contributor role on the team that builds and runs HG's data platform: everything between a raw vendor file landing in our lake and a finished dataset arriving in a customer's hands. It includes the transformation stack that turns messy external signals into product-grade company attributes, the matching systems that decide which company a piece of evidence belongs to and the internal applications our analysts use to curate and correct the result.

You will be based in Pune, working with engineers at our Pune, US & Brazil locations.

What you’ll do

  • Own the architecture of the data platform end to end, and make the calls on build vs. buy, batch vs. incremental, and where each workload belongs.
  • Build the quality layer that catches silent failure: contracts at every handoff, freshness and completeness monitoring, and pipelines that quarantine bad data rather than publish it.
  • Improve entity matching and attribution - and make match decisions explainable to the customers who depend on them.
  • Make our release cycle boring. Recurring deliveries should not depend on people watching them.
  • Treat compute cost as a first-class engineering metric across Spark, orchestration, and the serving tier.

What we are looking for

  • 15+ years building production grade data engineering systems, with a minimum of 5 years in a staff or principal scope.
  • Deep Spark and Databricks expertise at multi-terabyte scale, including the operational side of lakehouse table formats - merges, compaction, small files, schema evolution.
  • Strong SQL and dimensional modelling, and the judgment to know when to break the rules.
  • Experience with performant and scalable OLTP setups (MySQL/Postgres).
  • Airflow orchestration (DAGs, operators, sensors) and integration with Spark/Databricks.
  • Proven experience in AWS ecosystems (EC2, S3, EMR).
  • Hands-on entity resolution, fuzzy matching, or record linkage at scale. This is central to what we do.
  • Python/Scala/Java, with real software discipline: testing, CI/CD, code review, infrastructure as code is a plus.
  • Experience in Docker - Kubernetes, Terraform is a plus.
  • Experience in integrating AI first implementations in traditional data engineering setups will greatly help in shaping our future designs.
  • Experience with machine learning pipelines (Spark MLlib, Databricks ML) for predictive analytics.
  • Knowledge of data governance frameworks and compliance standards (GDPR, CCPA).

Preferred Qualifications

B2B firmographic, technographic or intent data; streaming and CDC; warehouse-to-lakehouse migration experience.

What we offer/Benefits
We take care of our people fully and genuinely. Every HG Insights employee receives comprehensive healthcare coverage for themselves and their families, a monthly wellness reimbursement and access to Able To professional mental health coaching for stress, anxiety and depression support as per the regions. For your financial future, US employees benefit from a 401(k) with up to 5% company matching and all UK employees are enrolled in a pension scheme. Every employee also receives stock options because the people who build this company should share in its success.
We invest in your growth through an annual learning reimbursement and a genuine commitment to developing your career at every stage. And through our Culture Club, you will always have a real voice in shaping the kind of workplace we build together.

Equal Opportunity Employer
HG Insights is proud to be an Equal Employment Opportunity employer. We do not accept unsolicited resumes from recruiters or employment agencies. In the event of a recruiter or agency submitting a resume or candidate without a signed agreement being in place, we explicitly reserve the right to pursue and hire such candidates without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted directly to hiring managers, are deemed to be the property of HG Insights.

As published by MadKudu. Applications are handled on their site.

Skills this posting mentions

AirflowData GovernanceScala

About MadKudu

MadKudu is an AI Sales copilot that makes prospecting easy - right where your sellers already work (Gong, Salesforce, Outreach…). It automates the tedious tasks of researching accounts, finding new contacts, building lists and writing messages. By automating the research of your internal data and combining with external signals, MadKudu delivers all the insights sellers need to take action, all in one place.

All 7 openings at MadKudu

One click, then it is written

Apply to MadKudu with a resume written for this role.

Queue Principal Data Engineer and I read the posting, rewrite your resume against it, draft the cover letter, and score the fit. Then you press send, or press one button and I fill in MadKudu’s form for you.

  1. 01Drop your resume

    A PDF or a LinkedIn URL. About a minute, once.

  2. 02I rank the openings

    Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.

  3. 03Each one is written up

    Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.

  • 25 sent a week, free
  • No card
  • Nothing sent until you say so

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Put this to work

Paste your career in once. Every application after that is written for you.

Drop a resume or a LinkedIn URL. I rank the live openings against it, rewrite the resume and write a cover letter for the best of them, and fill in the employer's form when you press the button. You read, you decide what goes out.

  1. 01Drop your resume

    A PDF or a LinkedIn URL. About a minute, once.

  2. 02I rank the openings

    Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.

  3. 03Each one is written up

    Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.

  • New matches ranked and written before you are up.
  • Every bullet stays inside what your history supports. Nothing invented.
  • Queued, submitted, interviewing, offer: one screen, not a spreadsheet.

Free, no card. Up to 25 applications sent a week, and nothing is sent until you say so.

Listed from the job board MadKudu publishes. Refolk is not the employer and does not handle their hiring. Applications go to MadKudu directly.

Hiring at MadKudu? Post this role to the Refolk talent pool for $299, once. No commission, refunded if I find nobody. Post a role for $299