Data Engineer

Who are we

• With over 45% YoY sustainable annual recurring revenue (ARR) growth, Whatfix is among the Top 50 Indian Software Companies as per G2 Best Software Awards.


• Recognized as a Leader in the digital adoption platforms (DAP) category for the past 4+ years by leading analyst firms like Gartner, Forrester, IDC, and Everest Group.


• The only vendor recognized as a Customers Choice in the 2024 Gartner Voice of the Customer for Digital Adoption Platforms has once again earned the Customers Choice distinction in 2025. We also boast a star rating of 4.6 on G2 Crowd, 4.5 on Gartner Peer Insights, and a high CSAT of 99.8%


• Highest-Ranking DAP on 2023 Deloitte Technology Fast 500 North America for Fourth Consecutive Year


• Won the Silver for Stevies Employer of the Year 2023 Computer Software category and also recognized as Great Place to Work 2022-2023


• Only DAP to be among the top 35% companies worldwide in sustainability excellence with EcoVadis Bronze Medal


• On the G2 peer review platform, Whatfix has received 77 Leader badges across all market segments, including Small, Medium, and Enterprise, in 2024, among numerous other industry recognitions.

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  Design, develop, and own robust batch & streaming data pipelines (ETL/ELT) in our cloud-native stack.

  
  


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  Model and curate data in our warehouse/lakehouse to enable self-service analytics, ML features, and dashboarding.

  
  


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  Implement statistical analyses (e.g., regression, hypothesis testing) that convert raw data into trusted KPIs and actionable recommendations.

  
  


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  Partner with Product, Growth, and Finance teams to frame business questions, quantify impact, and iterate on data-driven experiments.

  
  


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  Write clean, tested Python/SQL; automate CI/CD and observability for data workflows; uphold data-quality SLAs.

  
  

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  Architect next-gen lake-house patterns and drive platform evolution.

  
  


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  Establish coding standards, peer reviews, and data-governance best practices.

  
  


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  Coach and upskill junior engineers; lead technical design and analytics review sessions.

  
  


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  Champion a culture of insight-to-action, ensuring that analytics projects are tied to revenue, retention, and efficiency metrics.
  
  
  
  

  
  

• Experience:

  
  
  4-7 years building production data pipelines and models in the cloud.
  
  


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  Languages & Frameworks: Strong SQL and Python plus hands-on experience with a big-data processing framework (Spark, Flink, Beam, etc.) is an advantage

  
  


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  Cloud Services: Practical expertise on AWS, GCP, or Azure managed data services (e.g., S3/GCS, Kinesis/PubSub, EMR/Dataproc).

  
  


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  Analytics & Statistics: Working knowledge of statistical analysis, A/B testing, and regression modelling to translate data into business outcomes.

  
  


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  Data Warehousing & Modeling: Familiarity with dimensional modeling, dbt (or similar), and performance-tuning for analytics workloads.

  
  


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  Software Engineering Fundamentals: Git, CI/CD, automated testing, and observability practices.

  
  


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  Business Impact Mindset: Demonstrated examples of turning data into measurable product or revenue impact; senior candidates should show alignment of data roadmaps with OKRs and executive priorities.

  
  

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  Platforms: Snowflake (primary warehouse/lake), Looker/LookML, PySpark.

  
  


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  Certifications: AWS Data Analytics Specialty, Google Professional Data Engineer, or equivalent.

  
  


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  Experience with data governance, privacy & security frameworks (GDPR, SOC 2).

  
  


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  Exposure to ML feature stores, streaming analytics, or data observability stacks.

  
  

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  Opportunity to shape the data backbone of a high-growth SaaS company used by Fortune 500 clients.

  
  


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  A culture of ownership, continuous learning, and transparent communication.
  
  
  
  

  
  

  Note:

  
  
  
  
  • We strive to live and breathe our Cultural Principles and encourage employees to demonstrate some of these core values - Customer First; Empathy; Transparency; Fail Fast & Scale Fast; No Hierarchies for Communication; Deep Dive & Innovate; Trust, Do it as you own it;
  
  
  • We are an equal opportunity employer and value diverse people because of and not in spite of the differences. We do not discriminate on the basis of race, religion, color, national origin, ethnicity, gender, sexual orientation, age, marital status, veteran status, or disability status