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Jobs in Singapore   »   Jobs in Singapore   »   Information Technology Job   »   Principal Data Engineer
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Principal Data Engineer

St Engineering Ihq Pte. Ltd.

Key Responsibilities:

• Lead the data and business intelligence team within the department

• Establish data engineering competency framework and best practices for the department

• Build up the projects pipeline for the data and BI team

• Mentor junior data engineers on enterprise data engineering best practices

• Contribute to the design and integration of data management & data governance capabilities for a data analytics platform product built by the product team within the department

• Assist in the setup and maintenance of big data, machine learning and Kubernetes clusters

• Participate in data engineering projects as technical lead and work with other stakeholders - Data Scientists, Data Analysts, etc. to assist with data-related technical issues and support their data pipeline infrastructure and data preparation needs Job


Requirements:

• Bachelor or Master’s degree in computer science, software engineering, information systems or related field

• The candidate should have at least 8 years of technical experience in Information Technology with preferably 6 years in Big Data, Data Warehousing or Business Intelligence technology with knowledge of analytics and AI technologies

• Broad knowledge of various aspects of Big Data with good understanding and hands-on experience in Hadoop based technologies such as HDFS, Hive, Spark, Kafka etc.

• Deep understanding of relational, NoSQL, NewSQL database technologies such as PostgreSQL, Oracle DB, CitusDB, SingleStore, Cassandra, MongoDB, Neo4J etc.

• Good knowledge of programming languages such as Java, Python or Scala on Linux/Windows platforms

• Experienced in Kubernetes and Kubeflow is a plus point

• Familiar with visualization and reporting software.

• Experienced in designing production grade ETL/BI solutions.

• Experienced in DevOps and DataOps

• Familiar with Linux/UNIX system administration

• Experienced in operational support for Big Data solutions

• Effective oral and written communication with strong analytical, problem solving, multitasking and project management skills are essential on the job

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