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AWS Data Engineer - Outside IR35 contract

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 needsMust 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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