Senior Engineer - Application Support

India Remote

YipitData

YipitData

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About YipitData:

YipitData is the leading market research and analytics firm for the disruptive economy and recently raised up to $475M from The Carlyle Group at a valuation over $1B.

We analyze billions of alternative data points every day to provide accurate, detailed insights on ridesharing, e-commerce marketplaces, payments, and more. Our teams use state-of-the-art technologies to identify, license, clean, and analyze data that many of the world’s largest investment funds and corporations depend on. 

For three years and counting, we have been recognized as one of Inc’s Best Workplaces. We are a fast-growing technology company backed by The Carlyle Group and Norwest Venture Partners. Our offices are located in NYC, Austin, Miami, Denver, Mountain View, Seattle, Hong Kong, Shanghai, Beijing, Guangzhou, and Singapore. We cultivate a people-centric culture focused on mastery, ownership, and transparency.

Why You Should Apply NOW:

  • As a Senior Application Support Engineer, you will manage mission-critical data applications and our data platform that supports many analytics teams at our company.
  • You will drive impact by ensuring the uptime and reliability of applications built on a cutting-edge stack, onboarding and training data analysts to effectively use applications, and streamlining support through process improvements and automation.
  • You will collaborate closely with Platform Engineers to develop a state-of-the-art data platform, handle inbound requests, and provide technical guidance to platform users across the company.

About The Role:

We are hiring a Senior Application Support Engineer to report to the Chief Architect at YipitData. This is a newly established function responsible for supporting data analysts and data entry teams in leveraging cutting-edge data applications that are direct inputs into our analytical products. This full-stack support role involves diagnosing and resolving bugs, implementing application improvements, and onboarding new data team members to ensure effective usage of our applications.

In this role, you will interact with modern web applications that harness our petabyte-scale data lake and play a critical role in our newest product, Signals, which offers insights on software companies. Signals is growing rapidly, and this position offers the opportunity to meaningfully contribute to the growth of our company by supporting our Analyst and Engineering teams.

Additionally, you will be a key member of the Platform Engineering team, responsible for administering our state-of-the-art Data & ML platform, handling support tickets for global teams during working hours, and researching and implementing process improvements and automation to reduce the overall support burden. This high-impact role enhances the productivity of both data teams and engineers while providing exposure to cutting-edge data and AI technologies.

As Our Senior Application Support Engineer, You Will:

  • Diagnose and resolve technical issues in data applications and platform services, including web application performance, optimizing SQL, Pandas, and PySpark queries, and interacting with REST APIs.
  • Work cross-functionally with data analyst teams and platform engineers to coordinate releases, onboard users, and maintain the uptime of critical Plotly Dash applications.
  • Identify and implement process improvements to streamline support workflows, reduce repetitive tasks, and improve application and data platform efficiency.
  • Promote and enforce application best practices, data software management, and cloud infrastructure to enhance system reliability and reduce technical debt.
  • Work with a tech stack that includes: Python, Plotly Dash, Databricks (Spark), AWS, Github, and Docker.

This is a fully-remote opportunity based in India. During onboarding, we expect working hours to be 2pm -11pm IST to allow for overlap with other teammates. Afterwards, standard work hours are from 11am to 8pm IST.

You Are Likely To Succeed If:

  • Thrive in a fast-paced, evolving environment and can efficiently navigate multiple technologies and production services to troubleshoot and resolve issues.
  • Possess strong communication skills, responsiveness, and a team-oriented mindset, with the ability to collaborate effectively with both technical and non-technical stakeholders.
  • Have 5+ years of proven experience in web application development or application support, particularly in systems with high uptime requirements. 
  • Demonstrate strong ability to troubleshoot issues with web/http traffic, python applications, and JS applications. 
  • Demonstrate excellent problem-solving and debugging abilities, attention to detail, and a passion for helping team members succeed.
  • Are proficient in Python, Docker, AWS, REST APIs, and database technologies. (Experience with Pandas, Plotly Dash, or Spark is a plus but not required.)

What We Offer:

Our compensation package includes comprehensive benefits, perks, and a competitive salary

  • We care about your personal life and we mean it. We offer vacation time, parental leave, team events, learning reimbursement, and more!
  • Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer.

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Category: Engineering Jobs

Tags: APIs AWS Databricks Docker E-commerce Engineering GitHub Machine Learning Market research Pandas Plotly Privacy PySpark Python Research Spark SQL

Perks/benefits: Career development Competitive pay Parental leave Startup environment Team events

Regions: Remote/Anywhere Asia/Pacific
Country: India

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