Role will be mostly remote but must be able to travel on site to Lichfield when necessary

A leading organisation are are embarking on an exciting program of transformation, including the modernisation of key informational systems and business processes looking to build out a new Agile Team to develop Data Services within AWS. This is an opportunity to be a major player in re-architecting and modernising core data services to empower the business and our onward transformational journey.

Responsibilities

• Experience implementing complex ETL and data extraction projects from scratch, including building out scalable and reliable pipelines and processes to ingest data from a large number and variety of data sources.
• Data extraction through RESTful API services
• Proficiency with a variety of AWS-native data management and analytics tools and services, such as AWS Glue, DataBrew, Athena, LakeFormation, EMR, MSK, Kinesis, etc.
• Building data expertise and data quality into ETL pipelines by profiling data to measure quality, integrity, accuracy, and completeness
• Working within an AGILE based team structure to plan and support definition, coding and deployment of Java, Java Script, Rest based APIs within a code pipeline to create domain data services within principles and practices of MACH.
• Thorough knowledge of data security, privacy and compliance regulations
• Programming in Python, Java (and learning other languages as needed) to process large amounts of structured and unstructured data
• Delivering systems and features with the best performance and scaled to growing business needs

Must have experience with:

• 5+ years development experience of SQL, AWS Stack (S3, Redshift, RDS, MySQL, PostGreSQL)
• Data structure model and design, data (de)normalization, data indexing, data reporting
• Query performance and tuning.
• Design data solutions by understanding business requirements and translating them into technical components as building blocks of the to-be solution.
• Ability to create and maintain data standards and governance.
• Strong technical skills and the desire to learn new technologies and methodologies.
• Excellent verbal/written communication & data presentation skills, including ability to succinctly summarize key findings and effectively communicate with both business and technical teams.

Please apply ASAP if interested - AWS Data Engineer. GleeIT

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