Lead Data Engineer
Apply NowCompany: Omni Inclusive
Location: Collegeville, PA 19426
Description:
Mandatory Skills : Snowflake, Matillion, Python, ETL
Master's Degree in Computer Science, a related field or equivalent work experience.
Snowflake Certification is required.
10+ years of experience as a data engineer or similar work experience.
Four or more years or relevant experience with Snowflake.
Two or more years or relevant experience with Amazon Cloud Data tools ecosystem.
Ability to design and implement effective analytics solutions and models with Snowflake.
Demonstrate expertise in Snowflake data modeling and ELT using Snowflake SQL, implementing complex stored procedures and best practices with data warehouse and ETL concepts.
Deploy fully operational data warehouse solutions into production on Snowflake.
Expertise in relational and multidimensional data design and development techniques including star schema, snowflake schema, cube design.
Knowledge of delivery methodology and lead teams in the implementation of the solution according to the design/architecture.
Expertise in meta data management and data quality.
Ability to lead/mentor others in best practices for data architecture, engineering, and analysis.
Strong analytical, quantitative, problem solving and organizational skills"
Master's Degree in Computer Science, a related field or equivalent work experience.
Snowflake Certification is required.
10+ years of experience as a data engineer or similar work experience.
Four or more years or relevant experience with Snowflake.
Two or more years or relevant experience with Amazon Cloud Data tools ecosystem.
Ability to design and implement effective analytics solutions and models with Snowflake.
Demonstrate expertise in Snowflake data modeling and ELT using Snowflake SQL, implementing complex stored procedures and best practices with data warehouse and ETL concepts.
Deploy fully operational data warehouse solutions into production on Snowflake.
Expertise in relational and multidimensional data design and development techniques including star schema, snowflake schema, cube design.
Knowledge of delivery methodology and lead teams in the implementation of the solution according to the design/architecture.
Expertise in meta data management and data quality.
Ability to lead/mentor others in best practices for data architecture, engineering, and analysis.
Strong analytical, quantitative, problem solving and organizational skills"