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Gurgaon

    Paytm Insurance - Noida/Gurgaon/Gurugram/Bangalore, India - Paytm Insurance Broking Private Limited

    Paytm Insurance Broking Private Limited
    Paytm Insurance Broking Private Limited Noida/Gurgaon/Gurugram/Bangalore, India

    Found in: Talent IN 2A C2 - 4 days ago

    Default job background
    permanent Technology / Internet
    Description

    About the Role:


    This position requires someone to work on complex technical projects and closely work with peers in an innovative and fast-paced environment.

    For this role, we require someone with a strong product design sense & specialized in Hadoop and Spark Minimum 3-6 years of experience in Big Data technologies.

    2). The position Grow our analytics capabilities with faster, more reliable tools, handling petabytes of data every day.

    3).

    Brainstorm and create new platforms that can help in our quest to make available to cluster users in all shapes and forms, with low latency and horizontal scalability.

    4). Make changes to our diagnosing any problems across the entire technical stack. Design and develop a real-time events pipeline for Data ingestion for real-time dash- boarding.

    5). Develop complex and efficient functions to transform raw data sources into powerful, reliable components of our data lake.

    6). Design & implement new components and various emerging technologies in Hadoop Eco- System, and successful execution of various projects.

    Be a brand ambassador for Paytm - Stay Hungry, Stay Humble, Stay Relevant

    Skills that will help you succeed in this role:

    1). Fluent with Strong hands-on experience with Hadoop, MapReduce, Hive, Spark, PySpark etc.

    2). Excellent programming/debugging skills in Python/Java/Scala.

    3). Experience with any scripting language such as Python, Bash etc.

    4). Good to have experience of working with noSQL databases like Hbase, Cassandra.

    5). Hands-on programming experience with multithreaded applications.

    6). Good to have experience in Database, SQL, messaging queues like Kafka.

    7). Good to have experience in developing streaming applications e.g. Spark Streaming, Flink, Storm, etc.

    8). Good to have experience with AWS and cloud technologies such as S3

    9). Experience with caching architectures like Redis etc.
    )

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