- Design, implement, and maintain Databricks environments to support advanced analytics and data processing needs.
- Facilitate enabling new features/ capabilities and drive MVPs in conjunction with business functions & platform leaders.
- Act as a Databricks administrator and ensure platform level SLAs are met.
- Architect production level data pipelines, including end-to-end pipeline load performance testing and optimization.
- Develop and optimize data pipelines using Apache Spark, Databricks & AWS native services.
- Collaborate with data scientists and analysts to translate complex data processing workflows into scalable and efficient solutions.
- Implement best practices for big data processing and automation within Databricks & AWS.
- Ensure data quality and integrity throughout the data pipeline.
- Monitor and troubleshoot performance issues in Databricks environments.
- Displays in-depth knowledge of engineering methodologies, concepts, skills, and their application in databricks and related big data technologies.
- Well versed with DevSecOps concepts and frameworks.
- Foster a data-centric culture, mentoring team members, and driving data-focused initiatives.
- Stay updated with emerging technologies, assessing their applicability to our organization's goals.
- Bachelor's or master's degree in computer science, Information Technology, or a related field.
- Must have 5 + years of hands-on experience with Databricks & AWS in a software engineering/ data engineering capacity.
- Extensive experience building big data pipelines.
- Experience with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration.
- Experience designing data solutions on cloud infrastructure and services, such as AWS, Azure, or GCP using best practices in cloud security and networking.
- Strong development experience in one or multiple languages (SQL, Java, Python and Scala).
- 3+ years professional experience with Big Data technologies (e.g. Spark, Hadoop) and architectures.
- Familiarity with data integration and orchestration tools like Apache Airflow, Talend, or similar.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills
- You are passionate about our purpose and genuinely care about our mission to transform the lives of patients through innovative cancer treatment
- You bring rigor and excellence to all that you do. You are a fierce believer in our rooted-in-science approach to problem-solving
- You are a generous collaborator who can work in teams with diverse backgrounds
- You are determined to do and be your best and take pride in enabling the best work of others on the team
- You are not afraid to grapple with the unknown and be innovative
- You have experience working in a fast-growing, dynamic company (or a strong desire to)
- You work hard and are not afraid to have a little fun while you do so
Senior Manager, Data Engineer - Utrecht, Nederland - Genmab
Beschrijving
At Genmab, we're committed to building extra[not]ordinary futures together, by developing antibody products and pioneering, knock-your-socks-off therapies that change the lives of patients and the future of cancer treatment and serious diseases. From our people who are caring, candid, and impact-driven to our business, which is innovative and rooted in science, we believe that being proudly unique, determined to be our best, and authentic is essential to fulfilling our purpose.
Role
We are looking for a hands-on, dedicated, and experienced Data/Software Engineer with a strong focus on Databricks & AWS to join our global data & analytics team. At Genmab, our global data & analytics team develops robust data engineering pipelines by applying industry best practices and ground breaking technology platforms. The ideal candidate will be developing and optimizing our company's data and data pipeline architecture in Databricks & AWS. This role includes working with multi-functional teams to assist with data-related technical issues and support their data infrastructure needs. You will play a crucial role in supporting our data-driven decision-making processes.
Responsibilities
Requirements
About You
Locations
Genmab leverages the effectiveness of an agile working environment, when possible, for the betterment of employee work-life balance. Our offices are designed as open, community-based spaces that work to connect employees while being immersed in our state-of-the-art laboratories. Whether you're in one of our collaboratively designed office spaces or working remotely, we thrive on connecting with each other to innovate.