DATA ENGINEER (GCP) Full Time

Impact Analytics™ (Series D Funded) delivers AI-native SaaS solutions and consulting services that help companies maximize profitability and customer satisfaction through deeper data insights and predictive analytics. With a fully integrated, end-to-end platform for planning, forecasting, merchandising, pricing, and promotions, Impact Analytics empowers companies to make smarter decisions based on real-time insights rather than relying on last year’s inputs to forecast and plan this year’s business. Powered by over one million machine learning models, Impact Analytics has been leading AI innovation for a decade, setting new benchmarks in forecasting, planning, and operational excellence across the retail, grocery, manufacturing, and CPG sectors. In 2025, Impact Analytics is at the forefront of the Agentic AI revolution, delivering autonomous solutions that enable businesses to adapt in real time, optimize operations, and

drive profitability without manual intervention.

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

• Graduate or Postgraduate in Computer Science or in similar quantitative area (B. Tech/B.E. or M. Tech/M.E. in Computers, IT)
• 1+ years of relevant work experience as a Data Engineer or in a similar role.
• Hands on experience in snowflake or databricks or similar is a must.
• Hands on experience with GCP cloud services: GCS, Big query, VMs.
• 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, 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 be part of 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.

Our Accolades Include

• Ranked #72 in America’s Most innovative Companies list in 2023 alongside companies like Microsoft, Tesla, Apple, IBM, etc.
• Ranked as one of America’ s fastest growing companies by Financial Times for four consecutive years: 2020-2023.
• Ranked as one of America’ s fastest-growing private companies by Inc 5000 for Six consecutive years: 2018-2023.
• Recognized in multiple Gartner reports, including Market Guides and Hype Cycle, spanning assortment, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications.
• Featured as one of top 25 ML startups to watch by Forbes in 2019.
• Ranked as one of North Americas’ fastest-growing technology companies by Deloitte for two consecutive years 2019 & 2020