Data Engineering Lead
7 days ago
We are seeking a highly skilled Data Engineering Lead to join our team at Leading-Biotechnology-Company. As a key member of our data engineering group, you will be responsible for designing and developing large-scale analytics solutions using Snowflake.
The ideal candidate will have extensive experience in data warehousing, ETL processes, and data modeling. They will also possess excellent problem-solving skills and be able to troubleshoot complex data engineering issues.
Key Responsibilities- Design and develop large-scale analytics solutions using Snowflake
- Develop and maintain dimensional models in an enterprise data warehouse environment
- Automate enterprise data transformation pipelines and ELT/ETL processes
- Benchmark application operational performance and track metrics
To succeed in this role, you must have:
- 8+ years of experience in data engineering, with a focus on Snowflake
- Expertise in Snowflake SnowSQL, Snowpipe, Streams, and Tasks
- 3+ years of experience with dbt Cloud platform and good understanding of data models
- Knowledge of source systems like SAP ERP, Salesforce CRM, Workday, Planisware, Team Center PLM
- Good understanding of working with code repositories like GitHub, GitLab, and data operations practices
- Certifications in Snowflake and dbt Cloud data engineering
- Experience with data integrations using SnapLogic integration platform
- Knowledge of cloud storage platforms like Amazon Web Services
This role offers a competitive salary range of $180,000 - $220,000 per year, based on experience, along with a comprehensive benefits package including medical, dental, and vision insurance, 401(k) matching, and paid time off.
About UsLeading-Biotechnology-Company is a leading biotechnology company that values innovation, collaboration, and employee growth. We offer a dynamic work environment with opportunities for professional development and advancement.
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