Power BI Developer - Bengaluru, India - Quantzig

    Quantzig
    Quantzig background
    Technology / Internet
    Description

    About Quantzig

    Quantzig is a global analytics and advisory firm with offices in the US, UK, Canada, China, and India. we have assisted our clients across the globe with end-to-end advanced analytics, visual storyboarding, Machine Learning and data engineering solutions implementation for prudent decision making. We are a rapidly growing organization that is built and operated by high-performance champions.

    If you have what it takes to be the champion with business and functional skills to take ownership of an entire project end-to-end, help build a team with great work ethic and a drive to learn, you are the one we're looking for. The clients love us for our solutioning capability, our enthusiasm and we expect you to be a part of our growth story.

    Company Website: (QuantZig is a Group Company of Infiniti Research Ltd. )

    We have developed exceptional expertise in advanced analytics and business intelligence solutions for transforming global organizations. Harness the power of our intelligent, actionable insights to solve complex problems and inspire innovation, change, and growth across your organization value chain.

    What do we look for?

    • 3 - 6 years of experience in Power BI Visualization tool – development & management (End to end).
    • Good experience in building large and complex data models in PowerBI
    • Good exposure in working with Azure data bricks – Pyspark, Spark SQL, Scala (Lazy evaluation and delta tables, Parquet formats, Working with large and complex datasets)
    • Strong experience with DWH using Synapse (distribution of tables (hash, replicate, round robin - scenario). Partitioning of data and Polybase.
    • ETL (Incremental loading .. SCD1, SCD2, Upserts)
    • Data factory (pipeline orchestration, scheduling and different types of triggers).
    • Logic apps (added advantage)
    • DAX studio experience.
    • Able to deal at a global level on model (need to understand access set-up, how to make the data global, how to create control and content level accesses.
    • Reporting and model performance enhancement.
    • Strong SQL, Python and Power Query exposure.