Senior Data & Analytics Engineer – Big Data/Hadoop/AWS/Python/Java/R/NoSQL/Docker
Location: Cambridge and Macclesfield (2 x vacancies)
Salary: Competitive Benefits: Outstanding
A global biopharmaceutical organisation that discovers, develops and commercialises prescription medicines. They have a strong pipeline of potential new medicines, so their confidence for sustained growth is high. Their workplace culture encourages innovation and teamwork, which is underpinned by the company’s vision for an outstanding place to work, where all of employees are engaged by a shared purpose and compelling strategy. You will be encouraged to perform and be supported to develop your skills in order to reach your full potential.
About the role: As a Senior Data & Analytics Engineer you will provide technical leadership and support development through to delivery. You will be a data professional with a wide range of experience across data & analytics technologies and processes.
The team delivers AWS cloud solutions and you will have exposures to a variety of projects. You will join a team of engineers who are spread globally, so you would need to be mindful of your delivery approach to ensure success. You will be a leader throughout the software development lifecycle, from the initial development of a technical design based on agreed architecture, right through to service. You will have a real passion for delivering well engineered data and analytics solutions. Flexible working is also available for discussion.
To be aware of include having the ability to define effective ways of end-to-end delivery of the data and analytics platform, drive visualisation strategies to enable specific insights for better business decisions. You will direct a team of data and reporting engineers focused on developing the latest visualisation and computational capabilities for the big data platform. Being hands on with agile practices, especially being a SCRUM Master on a day-to-day basis will be essential for continually challenging the norm and pushing the team to forget the easy route and go after the impossible!
• Experience of working with Hadoop/Spark, NoSQL, virtualisation, data streaming, container technology (Docker), traditional warehousing
• Knowledge of HDFS, Parquet, Spark streaming, HBase, HIVE, PIG, Presto, Sqoop, Mesos
• Working knowledge in AWS Cloud services (EMR, SQS, Kinesis, Lambda, DynamoDB, IAM, Cognito, Cloud formation, Aurora, Redshift, Glue)
• Hands-on experience of building scalable, high availability analytics solutions
• Experience in DevOps, using continuous integration/development (Jenkins, Nexus, Git)
Additional information call Andy on 07881 225660 or email firstname.lastname@example.org
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