TEAMQUEST CONSULTANT PRIVATE LIMITED | Jobs | Data Engineer – Wipro – Gurgaon | BigDataKB.com | 27-03-22

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    Job Location: Gurgaon/Gurugram

    Roles and Responsibilities

    • AWS based modern data stack built for doing Data exploration from first principles Platform to power flexible Hyper Personalization Scenarios
    • Ingestion and Processing systems handling huge scale ( ~4B events, 200 TB Hadoop Cluster, Concurrency of 500K users, all V’s of big data)
    Responsibilities:
    • Build scalable pipelines for data analysis and transformation
    • Designing platforms as consumable data services Come up with efficient, modular and scalable solutions for business and technical problems
    • Architect and build near real-time (low latency) infrastructure for segmentation, personalized recommendations, reporting etc.
    • Build and execute data mining and modeling activities using agile development techniques
    • Leading big data projects successfully from scratch to production
    • Appreciate and understand the cloud delivery model and how that affects application solutions – both delivery and deployment
    • Solve problems in robust and creative ways and demonstrate solid verbal, interpersonal and written communication skills Handle TBs of data volume Data platform
    • Extract and consume data from our live systems to analyze and produce robust 99.999% SLA Big-data environment
    • The incumbent will be in the driving seat for innovation and delivery in various exciting tech opportunities, from powering business analytics pipelines to machine learning applications.
    Desired Profile:
    • Experience of programming in Scala with good understanding of Spark platform.
    • Experience in managing data teams working in an operational business analytics environment
    • Extensive knowledge in at least one of the programming or scripting languages like Java, Scala,
    • Python Good hands-on in big data infrastructure, distributed systems, dimensional modeling, query processing and relational databases
    • Should have extensive experience with capturing, managing and processing Big Data (terabytes of data present in web logs, documents, meta apis);
    • Excellent communication & analytical skills
    • Fluent with Hadoop/Pig/Hive/Storm/SQL databases
    • Good to have knowledge: NoSQL solutions like Cassandra/MongoDB/CouchDB, Postgres, Kafka, Redis, ElasticSearch, Spark Streaming or you really want to learn about the

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