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    Celonis Data Engineer - Noida, India - Tech Mahindra

    Tech Mahindra
    Tech Mahindra Noida, India

    1 week ago

    tech mahindra background
    Technology / Internet
    Description

    Job Role: SR Data Engineer

    Experience: 5 to 12 Years

    Mandatory Skills: Celonis, Process Mining, SQL

    Location: PAN India

    Skills: Celonis, Process Mining, O2C, P2P, R2R, SQL, PQL, ERP Systems, Data Integration, Data Visualization, Power BI, Tableau, ETL

    Role & responsibilities:

    • Hands-on experience on Celonis Process Mining/UI Path Process Mining/ Signavio Process Mining/Minit Process mining or any other process mining tool experience
    • Ability to identify opportunities, create solutions, present them as business cases to key stakeholders and execute the solution proposed.
    • Understanding of key customer processes, such as Order-to-Cash, Procure-to-Pay, Issue-to-Resolution, etc.
    • Experience working with ERP systems (e.g. Microsoft, Oracle, SAP), data extraction, data analysis, reporting, etc.
    • Experience with SQL, database technologies, ETL, and/or programming (Java, Python, R, etc.)
    • Process mapping and identifying non value add steps to create lean and agile processes.
    • Responsible for identifying business problem areas and aligning themselves to the pain areas through Continuous Improvement Projects
    • Strengthen and enhance internal processes to make them more efficient and effective by identify process improvement/re-engineering opportunities.
    • Help our clients to simplify and improve their operations by developing business cases, analysing clients as-is processes and create end-to-end automation solution blueprints
    • Responsible for working with the clients Business excellence & Operations teams to hunt down processes for RPA & conducting initial RPA process investigation, priority, assessment & fitment analysis. You will be responsible for PDD (Process design document)
    • Provide quality consulting service by applying PDCA, lean, 6 sigma and other relevant quality methodologies with the objective to reduce cost/cycle time, improve productivity, increase revenue, improve product/service quality, and/or realign organizational practices with business strategies.
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