Luxoft is looking to develop a new application for investors and investment committees to review their portfolio data, tailored to specific user groups.
Requirements
- Hands-on experience in AWS to conduct end-to-end data analysis and data pipeline build-out using Python, Glue, S3, Airflow, DBT, Redshift, RDS, etc.
- Databricks experience is highly desirable
- Python
Responsibilities
- Work with complex data structures and provide innovative ways to a solution for complex data delivery requirements
- Evaluate new and alternative data sources and new integration techniques
- Contribute to data models and designs for the data warehouse
- Establish standards for documentation and ensure your team adheres to those standards
- Influence and develop a thorough understanding of standards and best practices used by your team
Other
- Accountable for results. Experienced in leading team of data engineers to work collectively to deliver solutions on time
- Experience on operating in agile (scaled Agile) setting.
- English: B2 Upper Intermediate
- Seniority: Senior
