Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 14 hours ago

Senior Data Engineer – Incentive Compensation

sunKING196 open roles

Where
India
Work mode
Remote
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowSenior Data Engineer – Incentive CompensationsunKING · India

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on sunKING's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 14 hours ago

The posting

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior Data Engineer – Incentive Compensation based in India.

Join a mission-driven, technology-focused organization where reliable data systems play a critical role in supporting field teams and business operations. In this role, you will own the accuracy, automation, and continuous improvement of incentive and commission systems for agents and employees. You will transform complex business rules into scalable, auditable data pipelines that ensure incentive payments are accurate, fair, and delivered on time. Working at the intersection of data engineering, analytics, finance, and operations, you will proactively identify discrepancies, strengthen quality controls, and build automated monitoring solutions. You will collaborate closely with technical teams and business leaders to adapt incentive models across multiple business lines and countries. This opportunity is ideal for a detail-oriented data professional who enjoys solving complex problems, improving operational efficiency, and using technology to support a growing business with meaningful social impact.

Accountabilities

  • Own the design, development, maintenance, and continuous improvement of incentive calculation pipelines, ensuring accuracy and consistency across all agent and staff incentive outputs.
  • Lead the end-to-end automation of incentive processes, transitioning workflows from scheduled execution to event-driven processing wherever appropriate.
  • Translate evolving business policies and incentive rules into reliable, automated, and auditable data workflows in collaboration with data engineering teams.
  • Develop and maintain monitoring systems, automated alerts, and anomaly detection mechanisms to identify commission discrepancies before they affect payments.
  • Establish robust quality assurance frameworks, validation processes, and reconciliation dashboards to ensure incentive calculations are accurate, traceable, and auditable.
  • Design scalable data systems capable of supporting multiple business lines, including phones, inverters, and LPG, as well as operations across different countries, without increasing manual workload.
  • Act as a key reviewer of incentive business logic changes, partnering with senior Sales and Finance stakeholders to translate new commission structures into clear, scalable technical requirements.
  • Collaborate with Finance, Operations, Payroll, and field management teams to understand incentive program requirements and ensure data solutions reflect operational realities.
  • Investigate complex data discrepancies, identify root causes, develop hypotheses, and drive issues through to resolution.
  • Equip internal teams with reliable tools, reporting, and information to investigate and resolve incentive-related escalations from field agents.
  • Document incentive logic, data workflows, validation procedures, and resolution processes to support transparency, auditability, and knowledge sharing.
  • Share insights with technical and non-technical stakeholders, communicate data quality findings clearly, and contribute to stronger incentive data literacy across the organization.
  • A bachelor's degree in Statistics, Economics, Finance, Computer Science, or another quantitative discipline.
  • At least three years of experience in data analytics engineering, business intelligence, incentive operations, or a related field.
  • Strong proficiency in Python and SQL for data extraction, transformation, analysis, and validation.
  • Working knowledge of Git, Bitbucket, and Apache Airflow concepts and usage for version control and workflow orchestration.
  • Experience with business intelligence and data platforms such as Looker, Tableau, or Amazon Redshift, including the ability to translate business requirements into effective data models.
  • Demonstrated ability to investigate complex data discrepancies, formulate hypotheses, perform root-cause analysis, and implement sustainable solutions.
  • A strong understanding of data quality, reconciliation, validation, and process reliability, with a commitment to maintaining accurate and auditable financial or incentive-related outputs.
  • Effective stakeholder management skills, including the ability to collaborate across technical and business teams, present findings to non-technical audiences, and manage expectations.
  • Excellent written and verbal communication skills, with the ability to document technical processes clearly and explain incentive calculations to field teams and other stakeholders.
  • Strong attention to detail, personal accountability, and a structured approach to problem-solving and operational improvement.
  • Adaptability and the ability to work effectively in a fast-paced, cross-functional environment with evolving priorities.
  • Previous experience in incentive design, commission operations, or agent-facing programs is a strong advantage.
  • An interest in mentoring colleagues, sharing knowledge, and improving team capabilities in incentive data management and interpretation.
  • Fully remote work: Work remotely from India.
  • Permanent, full-time employment: An opportunity to build a long-term career in data engineering and incentive systems.
  • Professional growth: Develop your expertise in data automation, analytics, incentive operations, and scalable data infrastructure within a rapidly expanding industry.
  • Learning and development: Access to structured professional development opportunities designed to strengthen technical, leadership, and management capabilities.
  • Collaborative culture: Work with enthusiastic colleagues in an open-minded, cross-functional environment that encourages innovation and shared learning.
  • International exposure: Collaborate with colleagues and stakeholders across multiple countries, cultures, and professional backgrounds.
  • Purpose-driven impact: Contribute to a business focused on expanding access to affordable, reliable energy and other essential products through technology-enabled solutions.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against sunKING's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on sunKING's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    sunKING's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.