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Lead Data Engineer
2 months ago
Join our team as a Scientific Data Product Line Team Member and contribute to the development of innovative data products that enable AI/ML. As a key member of our team, you will collaborate with multi-disciplinary teams to solve complex data problems and build data products that drive business growth.
Job Summary- Collaborate with product teams, technical teams, subject matter experts, and stakeholders to design and develop data products that meet business needs.
- Work with data engineers to ensure data solutions are fit for purpose and align with enterprise needs.
- Design, develop, and maintain data pipelines to extract data from various sources and populate data lakes, data warehouses, and Lakehouse.
- Develop data transformation rules and data modeling capabilities to make data understandable.
- Collaborate with product analysts, data scientists, and machine learning engineers to identify and transform data.
- Work with data governance teams to implement data quality checks and maintain data catalogs.
- Use orchestration, logging, and monitoring tools to build resilient pipelines.
- Apply test-driven development methodology when building ELT pipelines.
- Use Git for version control and understand various branching strategies.
- Work as part of an Agile team.
- Describe problems and requirements, and facilitate the "how" with the development team.
- Plan, design, and conduct testing activities, and compile critical content for training and communication.
- Design and implement test cases.
- Create technical documentation as needed for the software development life cycle.
- Partner with business and IT leadership to formulate business cases.
- Bachelor's degree in Computer Science or Chemistry or equivalent field.
- Minimum 3-5 years of experience working with customers to define requirements, preferably in data.
- Domain knowledge in Pharmaceutical drug discovery and pre-clinical development.
- Hands-on experience with AWS services (S3, IAM, Redshift, SageMaker, Glue, Lambda, Step Functions, CloudWatch).
- Experience with platforms like Databricks, Dataiku, Delta Lake.
- Experience with data governance, quality checks, and data catalog capabilities.
- Information architecture background.
- Experience with data integration & transformation tools – AWS Glue, Starburst Trino, Databricks.
- Proficient in Python.
- Proficient with SQL – Redshift preferred.
- Proficient in CI/CD using GitHub Actions, Jenkins, CloudFormation, Terraform, Git, Docker, Apache Airflow.
- 2-3 years of experience in Spark – PySpark.
- Demonstrates growth and product mindset.
- Ability to work in a cross-functional team setup.
- Ability to work independently, anticipating and resolving problems.
- Excellent written and verbal communication skills.
- Ability to effectively engage both technical and non-technical stakeholders and users.
- AWS developer or architect certification.
- Experience in Java.
- Experience with Matillion ETL for Data Transformation.
- Experience working in Agile software development.
- Familiarity with NoSQL Databases.
- Familiarity with ontologies and use of ontologies to create data products.
Our company is a leading global healthcare company that is committed to improving human lives through innovative products and services. We offer a dynamic and inclusive work environment that fosters growth and development.
What We Offer- Exciting work in a great team, global projects, international environment.
- Opportunity to learn and grow professionally within the company globally.
- Hybrid working model, flexible role pattern.
- Pension and health insurance contributions.
- Internal reward system plus referral program.
- 5 weeks annual leave, 5 sick days, 15 days of certified sick leave paid above statutory requirements annually, 40 paid hours annually for volunteering activities, 12 weeks of parental contribution.
- Cafeteria for tax-free benefits according to your choice (meal vouchers, Lítačka, sport, culture, health, travel, etc.), Multisport Card.
- Vodafone, Raiffeisen Bank, Foodora, and discount programs.
- Up-to-date laptop and iPhone.
- Parking in the garage, showers, refreshments, massage chairs, library, music corner.
- Competitive salary, incentive pay, and many more.