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#SGUNITEDJOBS SENIOR DATA ENGINEER
  • Python
  • Spark
  • SQL
  • Big Data
  • Database
  • Hadoop
  • Scala
  • Kafka
  • NoSQL
Virtual Career Fair
Singapore
133 days ago

  • Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Building and optimizing ‘big data’ data pipelines, architectures and data sets.
  • Performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Analytic skills related to working with unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • A successful history of manipulating, processing and extracting value from large disconnected datasets.
  • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores

Job Requirements:

  • 7+ years experience in SQL and data tools
  • Experience with big data tools: Hadoop, Spark, Kafka, Sparksql etc.
  • Experience with relational SQL and NoSQL databases
  • Experience with data pipeline and workflow management tools: Airflow, etc.
  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
  • Experience with object-oriented/object function scripting languages: Python

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