JDA (Karlsruhe BW, Deutschland)
Vor 15 Tagen veröffentlicht
Working together with our machine learning experts, project managers and other engineers to advance our data science products.
Designing and developing data-intensive distributed systems in Python using technologies such as Pandas, Dask and modern NewSQL query engines like Presto or Apache Impala on the cloud.
Leverage Microsoft Azure cloud service to build a scalable platform responsible for data ingestion and workload distribution
Supporting on-boarding new customers with your expertise in organisational or data-intensive tasks
Working in an agile team with an emphasis on quality, testability, and automation
In-depth knowledge of Python, Pandas and its open-source ecosystem flow, Apache Parquet and Dask
Experience with other data technologies such as Snowflake or Apache Kafka is a plus
Knowledge in techniques for data modelling, storage and access
Experience with DevOps with cloud environment like AWS or Azure would be a plus
Interest in software craftsmanship and passion for modern methods such as Kanban, TDD and pair programming
Expertise in working with SQL
Interest in data handling with modern tools such as Apache Airflow
Are you super thrilled about the opportunity, but afraid to apply because you are not checking all boxes above? Please don't be shy. We will do our best to hire for potential rather than your current qualifications.
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All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.