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Snowflake Team Lead

1 week ago

Remote, Czech Republic Elitmind Full time
  • 5+ years of experience in data engineering, with at least 2+ years focused on Snowflake development.
  • Experience in leading and managing a team, planning development path and daily support.
  • Strong understanding of Snowflake architecture and features, including data sharing, cloning, streaming, and time travel.
  • Expertise in SQL and performance tuning within Snowflake.
  • Experience with ETL/ELT tools and Python language.
  • Knowledge of cloud platforms such as Azure, or AWS, particularly in managing Snowflake deployments and integrations.
  • Familiarity with data governance, security, and privacy regulations.
  • Strong problem-solving skills and ability to design data architectures for high-availability and fault tolerance.
  • Excellent communication and leadership skills, with the ability to manage multiple priorities and projects
  • Very good level of English.

Nice to have:

  • dbt

Join our Team as Snowflake Team Lead / Senior Consultant  

In short, we are looking for a Snowflake Team Lead to join our existing Team at Elitmind. In this role you will take part in innovative projects to implement solutions for our customers using the latest Data & AI technology.  

Elitmind provides world-class Data Platforms, Data Reporting, Analytics, Machine Learning, AI consulting services, and Managed Services focused on Microsoft cloud technology – Azure Data & AI and Power Platform. To fully enable the Customers to embrace the power of analytics tools and solutions company also provides corporate learning programs via its educational platform.  

Join us and become another ElitManiac :)

,[Design, develop, and implement scalable, high-performance Snowflake data warehouse solutions. , Manage ETL/ELT processes for data pipelines using Snowflake and related technologies. , Optimize Snowflake for performance and cost efficiency with partitioning, clustering, and indexing strategies. , Lead and mentor a team of data engineers., Collaborate with data scientists, business analysts, and stakeholders to meet analytical and business needs. , Ensure compliance with data security and governance policies. , Enforce best practices for data modeling, data integration, and SQL development. , Stay updated on Snowflake features and industry trends; recommend architecture improvements. ] Requirements: Snowflake, Data engineering, SQL, Performance tuning, ETL, Python, Cloud, Azure, AWS, Security, dbt Tools: Confluence, SharePoint, Jira, Azure DevOps, Agile. Additionally: Sport subscription, Private healthcare, International projects, Free coffee, Free beverages, In-house trainings, Modern office, No dress code.