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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.