Production Support Engineer

About Impact Analytics Impact Analytics is an agentic-first AI software company transforming retail merchandising through cutting-edge AI, LLMs, and Generative AI technologies. As a fast-growing Series D company with deployments across five continents, it is building both industry-leading merchandising solutions and foundational AI agents that are redefining how retail decisions are made. What makes Impact Analytics unique is its combination of deep retail domain expertise, strong innovation culture, and global presence. It is one of the few India-born AI companies recognized globally by organizations like Fortune, Gartner, and the Inc. 5000. For candidates looking to work on next-generation AI products with global scale and real-world impact, Impact Analytics is an exciting place to build your career. Here’s a link to our website: http://impactanalytics.co/www.impactanalytics.co (http://impactanalytics.co). (http://www.impactanalytics.co/)
The impact that you will be making We are looking for a Production Support Engineer to support and maintain existing data pipelines and production processes, while also contributing to new development and enhancements. The role will involve monitoring, troubleshooting, maintaining, and resolving issues across existing data pipelines, along with opportunities to work on new development and improvements. The candidate should be comfortable working with existing systems and handling production issues in a fast-paced environment.

What lands you in this role

- 1+ years of relevant experience in Data Engineering, Production Support, Data Analytics & Operations, or a similar role.
- Graduate or Postgraduate in Computer Science or a similar quantitative field (B.Tech/B.E. or M.Tech/M.E. in Computer Science, IT, etc.).
- Hands-on experience with GCP or AWS cloud services.
- Strong SQL knowledge and experience working with relational databases.
- Experience with ETL/data pipelines, including monitoring, troubleshooting, maintenance, and optimization.
- Experience handling production issues, debugging pipeline failures, and identifying root causes.
- Strong programming knowledge in Python and Shell scripting.
- Experience with databases such as Postgres, Cassandra, or similar relational/NoSQL databases.
- Experience with data processing and big data tools such as Spark, Hadoop, Hive, Airflow, etc.
- Good understanding of data modelling, data transformation, and data structures.
- Strong analytical and problem-solving skills.
- Good working knowledge of Linux/Unix and Windows environments.
- Ability to work with cross-functional teams and manage production issues in a timely manner.
- Comfortable working on existing data pipelines and systems, while also contributing to new development and enhancements.

What we offer
- An opportunity to develop some of the best enterprise SaaS products to be built out of India
- Opportunities to quench your thirst for problem-solving, experimenting, learning, and implementing innovative solutions
- A flat, collegial work environment, with a work hard, play hard attitude
- A platform for rapid growth if you are willing to try new things without fear of failure.
- Remuneration with best in class industry standards with generous health insurance cover.

Some of our accolades include
- Ranked as one of America's Fastest-Growing Companies by Financial Times for five consecutive years: 2020-2024.
- Ranked as one of America's Fastest-Growing Private Companies by Inc. 5000 for seven consecutive years: 2018-2024.
- Voted #1 by more than 300 retailers worldwide in the RIS Software LeaderBoard 2024 report.
- Ranked #72 in America’s Most Innovative Companies list in 2023 —by Fortune —alongside companies like Microsoft, Tesla, Apple, IBM, etc.
- Forged a strategic partnership with Google to equip retailers with cutting-edge generative AI tools.
- Recognized in multiple Gartner reports , including Market Guides and Hype Cycle , spanning assortments, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications