Data Scientist And Data Engineer

Department Icon Data Science Analytics & Machine Learning
Posted: 1 year ago
7-10 years
Abu Dhabi - United Arab Emirates
Data Science Analytics & Machine Learning
Work from Office
Full Time

Posted: 1 year ago
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Job Description


Key Responsibilities:

As a Data Scientist and Data Engineer you will,

  • Write and tune complex Java, MapReduce, and Hive jobs.
  • Lead 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)
  • Analyze and confirm the integrity of source data to be evaluated.
  • Lead 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.
  • Financial Services Knowledge is a plus.
  • Build and maintain cooperative work relationships with others.
Requirements:

As a Data Scientist and Data Engineer you should have,

  • 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.
  • Python/Spark based Data Engineer and Data Scientists
  • Previous experience 7-10+ as a big data engineer.
  • In-depth knowledge of Hadoop (Cloudera), Spark, and similar frameworks.
  • Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala.
  • Experience with Azure cloud services is a plus.
  • Knowledge of scripting languages including Java, C++, Linux, Ruby, PHP, Python, and R.
  • Own most deliverables for the Big Data team from a delivery perspective.
  • Ability to solve complex networking, data, and software issues.
  • Able to Effectively Plan & Organize Their Work
  • Strong Interpersonal Communication
  • Assist others in the completion of their tasks to support the group goals.

Skills

Big DataPythonData ScienceMachine LearningData ScientistData EngineerSql

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