
Data Engineering Expert
5 days ago
Holisticon Connect is a division within NEXER GROUP, a custom software development company. We strive to grow stronger in competence rather than numbers.
Job Description
We are seeking a Senior Data Engineer to support the operation and engineering needs of cBioPortal. In this role, you will impact the delivery of bioinformatics and medical data engineering and visualizations to the Oncology R&D organization. Your work will be central to advancing data stack, automation, and observability capabilities. As a Senior Data Engineer, you will load and process medical and biological datasets into cBioPortal using ETL, Docker, and Apache Airflow. You will also monitor and optimize data pipelines, ensuring compliance with standards. Additionally, you will standardize external data formats for integration into the platform, collaborate with stakeholders, bioinformaticians, and infrastructure teams to resolve issues, and review application functionalities with users and support platform improvements.
Required Skills and Qualifications
As a successful candidate, you should possess strong proficiency in Python and its data/scientific libraries (e.g., pandas, numpy/scipy, polars). You should have solid knowledge of ETL processes and data pipeline development, as well as experience with Docker and Apache Airflow. Familiarity with bioinformatics visualization systems like cBioPortal is desirable. Furthermore, you should have hands-on experience working with medical or biological data and visualizations, ability to interact with various structured and unstructured data sources (e.g., HDFS, SQL, NoSQL), and experience with scientific compute environments (e.g., HPC, cloud, Unix/Linux systems).
Benefits
At Holisticon Connect, we offer a range of benefits, including sport subscription, training budget, private healthcare, flat structure, small teams, international projects, free coffee, and modern office.
Others
This position requires SQL, Python, pandas, Airflow, NumPy, HDFS, NoSQL, Unix, Linux, ETL, Data engineering, Docker, Apache Airflow, Unit testing, Git, AWS, Glue, AWS S3, AWS EC2, CloudWatch, SNS, AWS Lambda, Kubernetes skills and Agile, Scrum tools.]
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