Data 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:www.impactanalytics.co.

The impact that you will be making

We are looking for a Data Engineer to join our data team to solve data-driven critical business problems. The person in this role will be responsible for expanding and optimizing the existing end-to-end architecture including the data pipeline architecture. The Data Engineer will collaborate with software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture (consistency throughout ongoing projects). The right candidate should have hands-on experience in developing a hybrid set of data-pipelines depending on the business requirements.

What lands you in this role

• 2+ years of relevant work experience as a Data Engineer or in a similar role.
• Graduate or Postgraduate in Computer Science or in similar quantitative area (B. Tech/B.E. or M. Tech/M.E. in Computers, IT)
• Experience with GCP cloud services: GCS, Big query, VMs is a must.
• Hands-on experience on different databases, python tools and ability to solve complex business problems using data.
• Advanced SQL knowledge, Data-Modelling and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience in developing and optimizing ETL pipelines, big data data pipelines, and data-driven architectures.
• Strong knowledge in programming using Python Shell.
• Strong analytical skills related to working with different types of datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Strong knowledge of working with different OS Linux, Windows, etc.
• Experience with big data tools: Hadoop, Spark, Hive, Airflow, etc
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with object-oriented/object function scripting languages: Python

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 byFinancial Times forfive consecutive years: 2020-2024.
• Ranked as one of America's Fastest-Growing Private Companies byInc. 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