Senior AWS Data engineer (LDW Data Warehouse Discovery)

We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.

Job Title: Senior AWS Data engineer (LDW Data Warehouse Discovery)
Location: Telford with 2 days/week in office
Duration: 6 months
Pay rate: £469 per day through FCSA umbrella

Must hold active SC Clearance

Job Description:
The role falls within the Data Contract Delivery Area of the contract. The group provides a wide range of data and analytics solutions in support of our client's business priorities: maximize revenues, bear down on fraud, and cloud migration.
This role involves migrating data from Legacy on-premise systems (primarily Oracle and Informatica) to a new AWS cloud-native architecture.
You will be part of an Agile software delivery team working closely with other engineers and supported by project managers, business analysts and architects. With additional client and key stakeholder interaction as required.
We are looking for strong AWS Senior Data Engineers who can design and deliver cloud transformation projects.

Your work will be to:
As part of a cloud transformation team, supporting the technical lead with design and client interactions and supporting junior engineers with their development.
Design, Develop and Test Data Pipelines: Create robust pipelines to ingest, process, and transform data, ensuring it is ready for analytics and reporting.
Implement ETL/ELT Processes: Develop and Test Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) workflows to seamlessly move data from source systems to data warehouses/data lakes/lake houses using open-source and AWS tools.
Adopt DevOps Practices: Utilise DevOps methodologies and tools for continuous integration and deployment (CI/CD).

Must-have skills:
Proficiency with Core AWS Tools (AWS Glue, Lambda, S3, Redshift)
Programming Skills (Python)
SQL and Data Storage Technologies: Some knowledge of data warehouse and database technologies and technologies (AWS Redshift, AWS RDS).
AWS Data Lakes: Some experience with AWS data lakes on AWS S3 to store and process both structured and unstructured data sets.

Nice-to-have skills:
Knowledge of Open Table Formats (Iceberg/Delta).
AWS Tools: Experience with Amazon CloudWatch, SNS, Athena, DynamoDB, EMR, Kinesis.
Data modelling
Job scheduling/orchestration
Data virtualisation tools (Denodo)
ALM Tooling (Jira, Confluence)
CI/CD toolsets (GitLab, Terraform)
Reporting tools (Business Objects, Power BI, Pentaho BA)
Data Analytics toolset (SAS Viya)
Observability tools (Grafana, Dynatrace)

Experience:
You should have experience as a senior data engineer delivering within large scale data analytics solutions and the ability to operate at all stages of the software engineering life cycle, as well as some experience in the following
Awareness of DevOps culture and modern engineering practices
Experience of Agile Scrum based delivery
Proactive in nature, personal drive, enthusiasm, willingness to learn
Excellent communications skills including stakeholder management
Developing solutions within the given architecture and adhering to specified NFRs
Supporting other engineers within your team
Continually looking for ways to improve
Hybrid role: requires attendance for occasional workshops (typically a couple of days per month) at one of our sites

If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible.Please note, candidates are often Shortlisted within 48 hours.