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Data Management Team Leader

e-finance
Smart Village, Giza
Posted 4 years ago
31Applicants for1 open position
  • 4Viewed
  • 0In Consideration
  • 0Not Selected
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Job Details

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Job Description

Work responsibility:

  • Proven experience of building DWH using a variety of techniques.
  • Proven experience using data loading and processing techniques.
  • Ensure all alerts have been acknowledged and escalated as needed.
  • Identifies faults, raise trouble tickets and provides a resolution of complex problem requests.
  • Act as the subject matter expert for designing and implementing DWH & Bigdata systems.
  • Bi-weekly executive summary of the achievements and root cause analysis when targets are not achieved.
  • Enforce, maintain, and document compliance, maximum uptime and performance with all established standards
  • Collaborate with IT teams and management to devise a data strategy that addresses industry requirements
  • Research new opportunities for data acquisition and modelling
  • Identify and evaluate current data management technologies
  • Create a fluid, end-to-end vision for how data will flow through an organization
  • Integrate technical functionality (e.g. scalability, security, performance, data recovery, reliability, etc.)
  • Implement measures to ensure data accuracy and accessibility
  • Constantly monitor, refine and report on the performance data management systems
  • Meld new systems with existing warehouse structures
  • Ability to meet deadlines and manage project delivery
  • Excellent report-writing and presentation skills
  • Critical thinking and problem-solving capabilities.

Job Requirements

Required qualifications :

  • Bachelor's degree in communication/computer engineering
  • 5+ years of working experience in a similar environment
  • Proficiency with the programming languages of Python, Scala, and Java
  • Proficiency with database systems (SQL and NoSQL)
  • Proficiency with DWH and Data Modeling techniques.
  • Big Data Microsoft Bigdata Cluster (HDFS, YARN and MapReduce Processing Framework).
  • Big data tools, such as Sqoop, Spark, Hive, Kafka and HBase.
  • Good Knowledge with Operating systems commands especially (Red hat Linux/IBM AIX).
  • Data Quality and data cleansing techniques.

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