Snowflake

Working daily within a project team environment, taking direction from project management and technical leaders.

Effectively translating business requirements into detailed functional and technical specifications, while creating high performance code that meet strategic and tactical business requirements.

Perform as Snowflake expert on architecture, design and development set up.

Championing development, deployment, code reviews and production support. A broad range of skills and experience ranging from data architecture to ETL, security, performance analysis, analytics, etc.

He/she should have the ability to both lead analytics projects as well as deliver technical solutions.

Completed training on the Snowflake Data Cloud such as Snowflake’s “Hands-On Essentials” or “Fundamentals” course, or have equivalent hands-on experience using Snowflake.

Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools.

Strong skills in databases, data warehouses, data modeling, and data processing.

Extensive hands-on expertise with SQL and SQL analytics. Extensive knowledge of and experience with large-scale database technology (e.g. Snowflake, RedShift, BigQuery, Synapse, Vertica, Netezza, Exadata, Teradata, Greenplum, etc.).

Semantic model and report development experience using common Business Intelligence or data exploration tools (e.g. Power BI, Tableau, Qlik, Oracle BI, Cognos, Microstrategy, Business Objects, etc.).

Experience implementing ETL/ELT data pipelines using custom (JavaScript, Python, PL/SQL, T-SQL, etc.) and packaged tools (e.g. Qlik Replicate, Informatica, DataStage, Talend, Pentaho, StreamSets, Matillion, FiveTran, etc.).

At least 2 years experience building Data Lake or Data Warehouse solutions with Snowflake or Power BI. Scripting experience with JavaScript, Python, or Bash.

Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. Microsoft Azure, Amazon AWS, OpenStack, etc.).

 Experience using Azure services such as Azure Blob Storage or Azure Data Factory.

Experience working in the automotive industry or with other large manufacturing companies.

Data Science or Advanced Analytics experience with custom (Python, R, Spark, Databricks) or packaged tools (Zepl, Dataiku, DataRobot, Alteryx)