Technical Lead Developer Data Engineering And Analysis Python Fortune 500 Sporting Retail Company Years
About the role:
Technology
- Provide insight into how we can provide the best technological solutions driving the most value for the wider organisation.
- Contribute to the development of ideas, processes and technical solutions that improve our offering.
Solution and Project Delivery
- Understand overall project methodology and how to work within a project environment.
- Deliver project tasks within agreed timescales within budget.
- Be part of project teams and contribute to the planning and resourcing of project tasks where appropriate.
- Identify, highlight and plan mitigation for risks in own area.
Support and Service:
- Provide an excellent support to the business in the day-to-day running of the operational business systems.
- Provide support and maintain the company's s applications where relevant to a site or a location.
- Ensure procedures related to identification, changes, testing, documentation, approval and communication of any modification to the system are followed.
- Performing the implementation of changes to the system, including those which have a multi-brand and global impact. Ensuring adherence to the company's Its change control.
- Identify technical solutions for problems, improvements and developments.
- Contribute to the technical solutions for problems, improvements and developments.
Teamwork:
- Provide technical mentoring and coaching to others within the department.
- Support other team members with regards to ad-hoc department activities.
Specific technology skills required:
Data Platform Engineering
- Strong experience of interpreting business requirements and building and delivering data engineering solutions from scratch.
- Strong experience of Cloud Data Engineering and Analytics workloads on Google Cloud Platform to include Cloud Dataflow; Cloud Data Fusion; Cloud Dataprep; Cloud Dataproc; Big Query; Google Data Studio.
- Strong Python skills
- Strong SQL skills
- Good to have Microsoft SQL Server / SQL Server Integration Services.
- Good to have Apache Hadoop / Spark
- Good to have other ETL tools e.g. SAP Data Services, Informatica, Talend.
- Good to have - Google Cloud Platform Certified Data Engineer.
Data Analysis:
- Must have experience of working with JSON / XML file structures.
- Good to have Visualization tools such as Tableau, Power BI, SAP Analytics Cloud,
- Good to have Jupyter Notebooks, Jupyter Lab.
- Good to have VBA / Excel / Access
- 6-8 Years of experience
If this sounds like the perfect role, please apply and we ll be in touch soon.