£500.00 - £600 per day
4 months ago
DevOps Automation Engineer
Rate: Market rates
Duration: 6-12 Months
The role will involve analysing the Software Development Lifecycle, standards, patterns and processes within the Data & Analytics domain with a view on optimizing and improving the organisations capability through automation, monitoring and mentoring.
As an engineer you will support solution development, provide technical leadership, and take responsibility for delivery. You are a T-shaped engineer, a person with a broad range of knowledge and experience across data & analytics, with significant depth in at least one technical area. You will work almost exclusively on the AWS data platform.
You will join a team that has delivered cloud solutions, such as the development of auto-scaling containerised ETL. Similarly, they have built an automated ETL test harness which integrates with evolving CI/CD processes. They have a significant backlog of work, so you might be supporting the development of a data hub processing terabytes of clinical trial data, the world's largest genomics platform, a federated reporting capability, a new tax analytics platform, or improvements to any of the existing analytics solutions.
Key skills and experience
*You will have strong experience in delivering automation and process improvements,
*You will have delivery experience across key elements of the data & analytics domain,
*You will be able to demonstrate an ability to understand business needs and translate them into a solution,
*You must have strong analytical and data manipulation ability,
*You will have experience of technical leadership in data and analytics.
Desirable technical skills & experience
*Continuous Integration and Continuous Delivery (Jenkins, Nexus, Git)
*Experience of automated testing
*Experience of creating and administering data warehouses and data marts (MySQL, PostGreSQL, Oracle, Redshift, SnowFlake)
*Experience of ETL & cloud techniques and tools (we currently use Talend for ETL, AWS data & analytics services such as S3, SQS, SNS, Redshift, Postgres, Aurora, MySQL, EMR, HIVE, PIG, Spark)
*Experience of visualisation technologies (we are focused on OBIEE and Microstrategy)
*Familiarity with creating bespoke graphical user interfaces and application APIs
*Experience of building scalable high availability analytics solutions
*Experience of data analysis - profiling, investigating, interpreting and documenting data structures
*Familiarity with data modelling techniques and hands on modelling experience (our relational databases are third normal form and star schema)
*Agile practices, especially SCRUM Master.