Data Engineer with Snowflake Remote
Product connecting Developers, Data Scientists, and Architects. It focus on data pipelines orchestration and automation, making complex data processes easy to maintain and scale. Promotes collaboration and a culture of sharing specifically in the Data area. The product team builds a base of reusable Data Components/Patterns (including enablement of open source components) which allow time and money savings. Data Components are meaningful, simple, consistent & seamless.
4+ years of working with programming languages focused on data pipelines, eg. Python or R
4+ years of experience working with SQL
3+ years of experience in data pipelines maintenance
3+ years of experience with different types of storage (filesystem, relation) and working with various kinds of data (structured, unstructured, metrics, logs, etc. )
3+ years of experience in working in data architecture concepts (in any of following areas data modeling, metadata mng. , workflow management, ETL/ELT, real-time streaming, data quality, distributed systems)
3+ years of cloud technologies with emphasis on data pipelines (Airflow, DBT)
4+ years of experience working with SQL
Experience working in Snowflake cloud environment
Experience working in Snowflake environment and basic knowledge of AWS services (f. e. AWS S3)
Very good knowledge of relational databases
Very good knowledge of data serialization languages such as JSON, XML, YAML
Excellent knowledge of Git, Gitflow and DevOps tools
Capability to conduct performance analysis, troubleshooting and remediation
Pharma data formats is a big plus
Practical experience in product development with Scrum methodologies
Good communication skills, team player, work under tight deadlines
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