Managing Consultant position in Life Science Advisory, focusing on Market Access strategies for pharmaceutical and biotech clients. Engaging with teams to develop effective pricing and access solutions while maintaining client relationships.
About the role
- Mid Data Consultant optimizing existing solutions and managing ETL pipelines. Involves performance tuning and promotes development standards, mainly in Kraków, Poland.
Responsibilities
- Your responsibilities will include performance tuning and optimization of existing solutions, building and maintaining ETL pipelines, as well as testing and documenting current data flows
- You will also be involved in implementing tools and processes to support data-related projects and promoting the best development standards across the team
- Design, build, test and deploy Cloud and on-premise data models and transformations in Cloud Native or dedicated toolset
- Optimize data views for specific visualization use cases making use of schema design partitions, indexes, down-sampling, archiving, etc. to manage trade-offs such as performance and flexibility
- Review and refine, interpret and implement business and technical requirements
- Ensure you are part of the on-going productivity and priorities by refining User Stories, Epics and Backlogs in Jira
- Onboarding new data sources, design, build, test and deploy Cloud data ingest, pipelines, warehouse and data models/products
Requirements
- At least 2-3 years of commercial experience as a Data Engineer
- Strong Python and PySpark skills
- Strong hands-on experience with SQL and query optimization
- Experience with ETL/ELT pipelines development, testing, and management
- Strong experience with Hadoop
- Understanding of key concepts around Data Warehousing, Data Lakes and Data Lakehouses
- Experience with Cloud Data engineering toolset, preferably GCP
- Nice to have: Experience with Java/Scala
Benefits
- Competitive salary
- B2B contract
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