Description
Templeton and Partners are looking for a ETL Designer/Developer for one of our multinational clients in the Oil & Energy sector for an initial 12 months contract with potential to extend and to be based in London, UK.
Please be advised this role is ONLY INSIDE IR35
Job Purpose
You will be responsible for identifying, analyzing and documenting the business needs. Helping the business to find the right answer to solve their business problems, to determine feasible solutions contributing to develop new business models. In addition you will gathers, analyses and models data and key performance indicators to develop quantitative and qualitative business insights in an agile fashion, identifies opportunities for improved data analysis. Develops processes and design reports to boost the business intelligence within the organization and is good at effectively processing large amounts of data into meaningful information. Collects past and present data to create fit for purpose MI reports.
Our client is looking for the experience below:
Understands and has experience with concepts as Data Pipelining / Data Wrangling – [data collection extraction & processing]
Ability to take a systematic and analytical approach to problem solving, interpretation of the data.
- Is aware of the Data Management Framework & practices, understands what is required to implement them effectively.
- Has knowledge of the Business Intelligence technologies and their relevant functions (reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics and prescriptive analytics.)
Technical Skills
- Experience with Microsoft Azure or AWS data stack e.g. Microsoft Azure Data Lake, Hadoop (preferably with Spark), Cosmos DB, HDInsight/HBase, MongoDB, Redis, Azure Table/Blob stores etc.
Experience with SQL-based technologies (e.g. MSSQL, MySQL, PostgreSQL).
Experience with data blending technology (e.g. Alteryx)
Experience with statistical software (R, SAS, SPSS)
Experience with SAP technologies (SAP ECC/ERP, SAP BW, SAP HANA etc.)