Design, build and maintain new and existing ETL and machine learning services.
Further Elasticsearch, Spark, Python, Redis, PostgreSQL and Hadoop ecosystem tools.
Collaborate with data science and stakeholders across the organization to raise the bar for data best practices and management.
Demonstrate and communicate a deep understanding of your chosen languages and frameworks to be able to make tradeoffs.
Advocate for internal and external customers to break down problems, set priorities and follow up on performance and functionality.
Build and maintain internal data processing and visualization tools to ensure KPIs are met.
Participate in pairing sessions, code reviews and research projects/ requirements.