Schneider Electric | Jobs | Marketing Data Architect | BigDataKB.com | 31-03-22

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    Job Location: Bangalore/Bengaluru

     

    • Create and maintain optimal Big data pipeline architecture; assemble large, complex data sets that meet functional / non-functional requirements
    • Design and build production data pipelines from ingestion to consumption within a big data architecture
    • Build the necessary datamarts, data warehouse required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data technologies.
    • Create necessary preprocessing and postprocessing for various forms of data for training/ retraining and inference ingestions as required
    • Good Knowledge of Data Modeling, Data Architecture and Enterprise Data Warehouse concepts
    • Good knowledge of ETL Tools
    • Identify, design, and implement internal process improvements: automating manual data processes, optimizing data delivery, etc.

    Requirements and Skills

    • You should have a bachelors or master s degree in computer science, Information Technology or other quantitative fields
    • You should have 5-10 years working as a Big data engineer / Data Architect in supporting large Big data transformation initiatives related to machine learning, with experience in building and optimizing big data pipelines and data sets
    • Strong analytic skills related to working with unstructured datasets.
    • Experience with big data tools: Hadoop, Spark, Kafka, etc.
    • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
    • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
    • Experience with AWS cloud services: EC2, EMR, RDS, Redshift and familiarity with various log formats from AWS.
    • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
    • Experience with object-oriented/object function scripting languages: Python, Java, C++, etc.
    • Experience with ETL

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