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Big Data Engineer


Job description

Currently we are looking for a Data Analytics Engineer (Analytics Technology) to make our team even stronger. Requirements

– 4+ years of production experience

– Experience in large scale/distributed SQL, NoSQL and/or Hadoop environments

– Experience building data and/or ETL pipelines

– Query/processing tools such as: Spark, Impala, Hive, Presto

– Microsoft Azure Data Factory and Azure Analytics Data Lake

– Ingest/Query Design: ElasticSearch, Kibana- Msg/Queue: Kafka, RabbitMQ, Tibco

– Understanding of summary statistics, machine learning, natural language processing, and mathematically focused programming languages such as R and Python

Experience working with data sources such as Nielsen, Adobe Analytics, comScore, Hitwise, and other industry research sources would be a PLUS.Responsibilities:

– Define standards and best practices for enterprise usage

– Design, build and deploy high-performance production platforms/infrastructure to support data warehousing

– Design, build, and maintain processes and components of a streaming data/ETL pipeline to support real-time analytics

– Perform data transformation, data modeling, metric definition, reporting

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