Capgemini | Jobs | Data Engineer | BigDataKB.com | 22-02-22

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    Job Location: Mumbai

    • Create and maintain optimal data pipeline architecture,
    • Assemble large, complex data sets that meet functional / non-functional business requirements.
    • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
    • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data technologies.
    • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
    • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
    • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

    Primary Skills
    • Experience with big data tools: Hadoop, Spark, Kafka, etc.
    • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra/Mongo dB
    • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
    • Experience with AWS cloud services along with Stream Processing System like storm, Spark-Streaming etc
    • Experience with object-oriented/object function scripting languages: Python, Java, C , Scala, etc.

    Secondary Skills
    • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
    • Experience building and optimizing big data data pipelines, architectures and data sets.

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