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    Job · 14995213

    Wholsum Foods Pvt Ltd logo

    Manager / Sr. Manager - Data Engineering & Analytics

    Wholsum Foods Pvt Ltd · Gurugram · onsite · Posted 50d ago

    Not disclosed5–8 yrsfulltimeSourced fromFoundit

    About a minute. You'll make an account on the way through.

    About this role

    Job Description –Manager / Sr. Manager - Data Engineering & Analytics

    What We Do And Who We Are

    Wholsum Foods is a healthy food brand striving to change the way the world eats. While Slurrp Farm brings the goodness of millets to children, Mille caters to the young adults looking for healthy food options. It's our mission to provide tasty and 100% natural alternatives to the junk food that surrounds us today. We believe that, in many ways, we need to go back to eating like our grandparents did; to the nutritious traditional food that has existed for millennia in India. Most of our foods are made of millets i.e Ragi, Jowar, Bajra and Foxtail Millet.

    The founders of Wholsum Foods, Shauravi Malik and Meghana Narayan, are foodies, entrepreneurs, and parents to young children. We at Wholsum Foods believe people are our greatest asset. Our core values ( Relationship first, Dependable, Passionate and Growth Mindset) are built to bring out the best in each of our Team mates. We believe who you are makes you better at what you do and We are proud to be an equal opportunity workplace, regardless of your race, colour, ancestry, religion, sex , sexual orientation , marital status , disability and gender identity.

    We are growing our team to support our global growth and are looking for talented people who enjoy the collaborative and innovative culture of a young high growth company and are hungry for an opportunity to grow with the team and have a lot of fun along the way. If you're a proactive person who enjoys getting things done in an entrepreneurial set up, then read on!

    Wholsum Foods is also A Great Place To Work Certified.

    We are committed to building a team rich in diversity - working towards a common goal of changing the way the world eats.

    WHAT WILL YOU DO AT WHOLSUM FOODS

    • Identifying, translating and solving business problems using data analytics
    • Selecting features, building and optimising machine learning algorithms that impact the business
    • Optimizing resources, negotiating on license costs and maintaining overall data architecture.
    • End to end model deployment working closely with different teams like performance marketing, finance, revenue, supply chain and operations, etc.
    • Monitoring model performance and creating alerts for any data leakage
    • Create use cases with respect to the domain for solving a business problem.
    • Research and test novel machine learning approaches for analyzing large-scale distributed computing applications.
    • Suggest innovative and creative concepts and ideas that would improve the overall platform.
    • Strong understanding of the most recent trends around the fmcg food industry and adoption.

    Skills Required

    • Technical knowledge and experience in working with python, automation with python, ETL, reporting and data visualization libraries like matplot lib, streamlit, etc
    • Data visualization and reporting using Power BI. Other tools like Looker Studio will be an added advantage
    • Knowledge of cloud and managing resources in cloud, primarily on Azure. Other cloud providers like AWS and GCP also an added advantage
    • Basic understanding of deploying virtual machines on cloud, scheduling tasks and monitoring
    • Data pipeline end-to-end creation and implementation, should know how to curate functional data architecture from scratch. Data scraping/fetching to storage & manipulation to visualisation
    • Should know how to use create, manage and connect with APIs for data from platforms like Google Analytics, Meta Ads, Amazon, OMS tools like EasyEcom, Unicomm etc
    • Experience with machine learning models for regression and forecasting analytics like Classification, Data/Text Mining, NLP, Image Processing, Decision Trees, Random Forest, Neural Networks, Deep Learning Algorithms
    • Experience and knowledge in using AI tools for automation and reporting. Should know how to deploy agentic AI tools for different purposes
    • Resource management and optimization
    • Knowledge of ERP implementation and working is a good to have skill
    • Experience working in a multi-disciplinary data consolidation and analytics roles

    WE ARE LOOKING FOR SOMEONE WITH

    • 5-8 yrs experience in a similar role.
    • Data architecture management and optimisation
    • Understanding business problems and solving them via analytics
    • Deploying data pipelines in production based on Continuous Delivery practices.
    • Excellent communication and teamwork skills.
    • Great attention to detail. Organisational skills & an analytical mind.

    What Will You Get

    • Fast paced growth in startup FMCG space.
    • Mentorship from senior people / board members / in house experts
    • Ability to think strategically and lead.
    • Key involvement in shaping the overall course of the startup and the customer experience at Wholsum Foods.

    Sourced from foundit

    Skills

    Resource Managementapisimage processingneural networksgoogle cloud platformamazon web servicesNatural Language ProcessingRandom Forestforecasting analyticsDeep Learning AlgorithmsDecision TreesMachine Learning ModelsPythonPower BiData VisualizationERP ImplementationLookerETLMicrosoft AzureAI tools for automation

    About Wholsum Foods Pvt Ltd

    Wholsum Foods Pvt Ltd logo

    Wholsum Foods Pvt Ltd

    FMCG

    200

    employees

    2016

    10 years old

    Gurgaon / Gurugram, Haryana

    India

    ₹12.7L PA avg

    Avg at Wholsum Foods Pvt Ltd

    About

    Wholsum Foods is a healthy food brand, parent company to Slurrp Farm (a children's food brand) and Mille (a supergrain company), aiming to change the way the world eats, focusing on innovation and res

    Industries

    FMCG

    Employee ratings

    10 reviews

    3.8/ 5

    Culture

    4.2

    Career growth

    3.6

    Work-life

    4.4

    Employees rate it well for

    Overall Company38Compensation & Benefits37

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