Big Data Integration Engineer

  • Job Type: Contract
  • Location: Sub-Saharan Africa Sub-Saharan Africa
  • Date Posted: August 22, 2019
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First Point Group are currently looking for a Big Data Intergration Engineer based in Africa

Responsibilities:
Must be experienced with SQL and NoSQL database management & programming on Oracle / Hbase / HDFS / MongoDB
Experiened on Big Data Technologies and platforms such as Hortonworks, Hadoop, Zookeeper, Solr, Presto, Hive
Experienced on Data warehouse, DataMart design and implementation
Experienced on Structure / non-structure data capture, modelling, visualization.
Ability to analyze business and functional requirements and help to create solutions.
Experienced in dashboard development with OBIEE, Power BI.

Skills Required:
Bachelor’s degree in Computer Science, Information Systems with training/certifications.
Has 5+ years of technical experience in Big Data and Business Intelligence area.
Experienced in Business Intelligence/Data Warehousing
Has 3+ years of experience in deploying and supporting a major Big Data system.
Strong In-depth knowledge of big data concepts, technologies and platforms with proven experience on the following stacks: Hortonworks, Hadoop, Kafka, Zookeeper, Solr, Spark, Flare, Apache Ranger.
Strong SQL/NoSQL skills with extensive experience in developing stored procedures, views, functions, triggers, DataMart using advanced logical methods.
Experienced on HBase
Knowledge of Open Distributed SQL with experience on Presto, Hive, Phoenix
Expert skills in data analysis, modelling and data mining.
Strong Unix skills and experience in shell programming.
Expertise utilizing ETL/data integration tools (Flare, Microsoft ETL, Pentaho, Talend, Ericsson Multi-Mediation).
Demonstrated experience in customer value management in any business sector.
Experience in Telecommunication industry is a plus.
Demonstrated understanding of BI Advanced Analytics techniques and models.
Oracle/Microsoft databases certification is desirable
Certifications in business intelligence, data warehousing, advance analytics, data science domains is desirable.