Data Engineer

Impact Analytics TM 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 Develop construct test and maintain existing and new data-driven architectures Align architecture with business requirements and provide solutions which fits best to solve the business problems Build the infrastructure required for optimal extraction transformation and loading of data from a wide variety of data sources using SQL and AWS - big data technologies Data acquisition from multiple sources across the organization Use programming language and tools efficiently to collate the data Identify ways to improve data reliability efficiency and quality Use data to discover tasks that can be automated Deliver updates to stakeholders based on analytics Set up practices on data reporting and continuous monitoring 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 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 Data Engineer 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 It would be advantageous if the candidate also has experience of using the below mentioned software tools Experience with big data tools Hadoop Spark Hive etc Experience with relational SQL and NoSQL databases including Postgres and Cassandra Experience with GCP cloud services GCS Big query VMs 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 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 Economic Times News about our funding can be accessed here