Associate Customer Experience Engineer

Posted Yesterday
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Pune, Maharashtra, IND
In-Office
Junior
Software
The Role
Own customer technical issues from investigation through resolution within SLA timelines. Troubleshoot SQL, databases, JDBC integrations, APIs, logs, and ETL workflows; communicate findings clearly and minimize escalations. Partner with Product and Engineering on complex issues, use AI and automation to improve support efficiency, and contribute to SOPs, knowledge-base articles, onboarding materials, training, and team enablement.
Summary Generated by Built In
About Hevo

Hevo Data is a no-code data pipeline platform that helps companies consolidate data from multiple sources for faster analytics. Our fully managed pipelines let data teams move data from 150+ sources (databases, SaaS applications, cloud storage, SDKs, streaming services) into warehouses and lakes, all without writing code.

Over 2,000 data teams in 45+ countries use Hevo, including DoorDash, Foot Locker, Arhaus, and Santander. We’re top-rated in the G2 Data Pipeline category, backed by Sequoia Capital, Qualgro, and Chiratae Ventures, and operate out of San Francisco and Bangalore.

Role Summary

An Associate Customer Experience Engineer owns customer issues end-to-end, keeps unnecessary escalations to a minimum, and ensures every interaction reflects a high standard of customer experience.

This role centers on troubleshooting JDBC-based sources and integrations, partnering closely with Product and Engineering whenever an issue calls for deeper investigation. The role calls for building solid technical depth over time, following and refining support workflows, putting AI and automation to good use, and adding to the team's shared knowledge so issues get resolved faster and more consistently across the board.

Key Responsibilities
  • Own customer issues and drive them to resolution within SLA timelines, combining structured investigation with clear, timely updates to the customer.

  • Investigate issues by digging into SQL, logs, API responses, database behavior, product documentation, and other diagnostic tools available.

  • Loop in Product and Engineering as needed, sharing the relevant technical context, investigation findings, and steps to reproduce the issue.

  • Keep unnecessary escalations to a minimum by building strong product and technical knowledge and resolving issues independently wherever possible.

  • Follow established support processes and flag improvements that cut down on rework, manual effort, and resolution time.

  • Use AI-assisted tools, automation, and diagnostic capabilities to make troubleshooting faster and more consistent.

  • Build deeper technical expertise in JDBC-based sources and integrations, along with databases, APIs, ETL, and related technologies.

  • Add to SOPs, KB articles, onboarding material, and other knowledge assets the wider team relies on.

  • Support teammates when needed and take an active part in team training, enablement, and knowledge-sharing activities.

What Success Looks Like
  • Steady SLA adherence combined with consistently high-quality resolutions on owned tickets.

  • A growing ability to resolve technically complex issues without outside help.

  • An avoidable escalation rate that stays low and keeps trending downward.

  • Customer communication that is clear, accurate, and easy to act on.

  • Meaningful, ongoing contributions to SOPs, KBs, and broader team enablement.

  • Real, measurable use of AI and automation to cut down on manual effort and resolution time.

  • Visible growth in technical depth and troubleshooting capability over time.

Required Skills & Experience
  • Solid grasp of cloud technologies and core database concepts, including the basics of database administration.

  • Hands-on experience troubleshooting databases, applications, or integrations.

  • Strong command of SQL.

  • Familiarity with data warehousing, ETL, REST APIs, and webhooks.

  • Working knowledge of Java or another object-oriented programming language.

  • Sharp troubleshooting, debugging, research, and problem-solving abilities.

  • Background in technical product support, including email-based support.

  • Able to write and maintain clear technical documentation such as KBs and SOPs.

  • Strong written and verbal communication with a sharp eye for detail.

  • Genuinely curious and customer-first, with the ability to break down and synthesize technical information effectively.

Preferred Qualifications
  • 1–3 years in technical product support, application support, database support, or a similar technical role.

  • Hands-on experience troubleshooting JDBC-based sources or integrations.

  • DBA experience with PostgreSQL, MySQL, SQL Server, Oracle, or a similar database platform.

  • Background supporting B2B SaaS products or integration platforms.

  • Exposure to ETL/data integration platforms.

 

Skills Required

  • Solid understanding of cloud technologies, core database concepts, and basic database administration
  • Hands-on experience troubleshooting databases, applications, or integrations
  • Strong command of SQL
  • Familiarity with data warehousing, ETL, REST APIs, and webhooks
  • Working knowledge of Java or another object-oriented programming language
  • Strong troubleshooting, debugging, research, and problem-solving abilities
  • Background in technical product support, including email-based support
  • Ability to write and maintain technical documentation such as knowledge-base articles and SOPs
  • Strong written and verbal communication and attention to detail
  • Customer-first mindset and ability to explain technical information clearly
  • 1-3 years of experience in technical product support, application support, database support, or a similar technical role
  • Hands-on experience troubleshooting JDBC-based sources or integrations
  • DBA experience with PostgreSQL, MySQL, SQL Server, Oracle, or a similar database platform
  • Experience supporting B2B SaaS products or integration platforms
  • Exposure to ETL or data integration platforms
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The Company
HQ: San Francisco, California
269 Employees
Year Founded: 2017

What We Do

Hevo is an Automated Unified Data Platform that helps companies understand their users and customers better. Using Hevo, companies can build a 360-degree view of their customers by combining data from multiple disparate data sources and applications including sales CRM, advertising channels, marketing tech, financial system software, and customer support products. Data and information stored in these applications are often siloed, and it's difficult for companies to get a complete view of their customers and business metrics. Hevo solves this problem for its customers.

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