Data Engineer

·       Develop, maintaining, testing, evaluating and implementing data solutions in line with the data architecture design.

• Creation, scheduling, testing, deployment, and maintenance, of data pipeline from different sources to required destination with the required transformations for reporting (ETL).
• Acquire data from primary or secondary data sources, maintain databases/data systems, and apply ETL procedures to normalize data.
• Gather information from business users to understand their detailed requirements and expectations, analyze business/use case requirements from BI analysts to determine operational problems, define data modelling requirements, gather and validate information, apply judgement and statistical tests and develop data structures to support the generation of business insights and strategy.
• Gather information from business users to understand their detailed requirements and expectations, analyze business/use case requirements from BI analysts to determine operational problems, define data modelling requirements, gather and validate information, apply judgement and statistical tests and develop data structures to support the generation of business insights and strategy.
• Carry out analysis of requirements and recommend solutions to address user requirements. Manage the queue of requests and communicate to the appropriate advanced analytics, BI or data management functions.

Develop and maintain documentation/manuals on system configuration or set up, carry out technical user training as required to enable users interpret BI reports as well as deal with data, dashboards and report queries from users and resolve or advise them accordingly.

Academic:

•    Bachelor of Science Degree in Computer Science or related degree from a recognized university

Desired work experience:

•    Minimum of 4 years’ experience in Data engineering, BI & Software Development using Oracle, SAP, Microsoft

•    Strong knowledge and experience with ETL tools (SAP Data Services, Oracle ODI, Microsoft SSIS), query languages (Oracle PL/SQL, SQL), programming languages (Java, C# )

•    Experience with relational data modeling, data management and data processing.

•    Knowledge of statistics and experience using statistical packages in analyzing large data sets (Python, Tableau, SPS, SAS, Excel etc.) will be an added advantage.

•    Knowledge of Big data tools (Hadoop, Apache Hive, Scala, Kafka, Apache Spark) will be an added advantage

•    Technical expertise regarding data models, database design development, data mining and segmentation techniques.

•    Working Experience with SAP Business Warehouse is highly desired.

•    Good knowledge of Windows Operating System and a fair knowledge of Unix & Linux.