Python developer with Databricks
Luxoft is looking for a Senior Data Engineer for development of new application to be used by investors and investment committees to review their portfolio data, tailored to specific user groups.
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
Skills
Must have
Seasoned data engineer who has 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.
PySpark experience
Very solution-driven, and highly collaborative at providing thought leadership and soliciting diverse opinions
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.
Nice to have
Databricks experience massively preferred but not mandatory
Other
Languages
English: B2 Upper Intermediate
Seniority
Senior
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