AWS Engineering Lead
3 weeks ago
We're looking for an innovative and experienced AWS Data Architect to join our Technical Division at Formula One. This is a fantastic opportunity to shape the future of our data architecture and drive business growth through data-driven insights.
In this role, you'll be responsible for designing and implementing scalable data solutions using AWS services, leading the integration of the latest AWS technologies, and mentoring a team of top-tier data engineers. If you're passionate about innovation and excellence, we want to hear from you
The ideal candidate will have extensive expertise in AWS services, including S3, Redshift, Lambda, Glue, and RDS, as well as exceptional skills in data modeling, ETL processes, and data warehousing. Experience with big data processing frameworks, such as Spark/EMR, and programming languages like Python/SQL is highly valued.
Our compensation package includes a competitive salary range of $120,000 - $180,000 per annum, based on experience, plus benefits.
About the Role:
- Design and implement cutting-edge, scalable data solutions using AWS services
- Masterfully manage data storage, retrieval, and processing across AWS S3, Redshift, and other AWS tools
- Lead the charge in integrating the latest AWS technologies and best practices into our data architecture
- Inspire and mentor a team of top-tier data engineers, fostering a culture of relentless improvement and collaboration
- Continuously refine data workflows and processes to achieve unparalleled efficiency and minimal latency
- Implement and uphold robust data security protocols to safeguard our most valuable asset—information
Requirements:
- AWS Mastery: Deep expertise with AWS services, particularly S3, Redshift, Lambda, Glue, and RDS
- Data Modeling: Exceptional skills in data modeling, ETL processes, and data warehousing
- Spark/EMR: Big data processing frameworks
- AWS S3: Data storage solutions
- AWS Redshift: Data warehousing and analytics
- AWS Lambda: Serverless computing for ETL processes
- AWS Glue: Data integration
- AWS RDS: Managed relational databases
- AWS Lake Formation: Data lake management and governance
- Python/SQL: Programming for data processing and querying
- Amazon Kinesis: Real-time data streaming
- dbt (Data Build Tool): Data transformations in warehousing
- Data Governance Tools: Understanding of AWS Data Catalog or Alation
- Data Governance Policies: Understanding governance frameworks
- Data Quality Tools: Ensuring accuracy and consistency
- Data Modelling Tools: Experience with tools like Erwin or Lucidchart
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