Data Scientists

Remote

Atribs Metscon Group

Founded in the bustling metropolis of Dubai in 2004, Atribs Metscon Group stands as a beacon of innovation and excellence in the realm of technology and business solutions. For over two decades, we have been dedicated to empowering enterprises...

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This is a remote position.

  • Extensive experience in Big Data space (Hadoop Stack like M/R, HDFS, Pig, Hive, HBase, Flume, Sqoop, NoSQL stores like Cassandra, HBase etc.) across Fractal and contributes to open-source Big Data technologies.
  • Write and tune complex Java, MapReduce, and Hive jobs.
  • Experience leading a Backend/Distributed Data Systems team while remaining hands-on is very important.
  • Manage the business intelligence team and vendor partners, ensuring to prioritize projects according to customer and internal needs, and develops top-quality dashboards using industry best practices.
  • Manage team of data engineers (both full-time associates and/or third-party resources)
  • Analyzes and confirms the integrity of source data to be evaluated.
  • Leads in deployment and auditing models and attributes for accuracy.
  • Experience with stream-processing systems: Spark-Streaming, Strom etc.
  • Experience with object-oriented/object function scripting languages: Python, Scala etc.
  • Experience in designing and building dimensional data models to improve accessibility, efficiency, and quality of data.
  • Should be proficient in writing Advanced SQLs, Expertise in performance tuning of SQLs. Experience with data science and machine learning tools and technologies is a plus.
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
  • Experience with Azure cloud services is a plus.
  • Financial Services Knowledge is a plus.

 



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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Data Science Jobs

Tags: Azure Big Data Business Intelligence Cassandra Hadoop HBase HDFS Java Machine Learning NoSQL Open Source PostgreSQL Python R Scala Spark SQL Streaming

Region: Remote/Anywhere

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