Overview
Remote
Depends on Experience
Contract - W2
Contract - Independent
Contract - 5 Month(s)
No Travel Required
Skills
SQL
Snowflake
AWS Data Analytics stack
IDMC
Tableau
Qlik
Pipeline
Spark
Azure/ GCP data stack
Job Details
Lead Data Engineer, Snowflake
Location: Remote
5+ month contract to start.
Type: Long Term - Multiple contract renewals.
Looking only for min 12+ yrs exp.
As a Lead Data Engineer, you will be optimizing data systems and building them from the ground up or even re-designing existing data architecture to support the next generation of products and data initiatives.
This position does not require any travel. It is a remote position & can be based in any US location in either the Eastern or Central Time Zones.
Responsibilities include:
- Create and maintain optimal data pipeline architecture,
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
Required Skills and Professional Experience:
- Bachelor's degree or equivalent experience and/or military experience
- 8+ years of advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- 5+ years of work experience developing green file and legacy data modernization projects on Snowflake or equivalent Data Platform
- Strong work experience on AWS Data Analytics stack
- Informatica ETL Integrations - IDMC
- SQL Knowledge
Preferred Skills and Professional Experience:
- Experience on Azure and Google Cloud Platform data stack
- Experience with other dashboarding solutions like Tableau, Qlik and/or similar programs
- Strong communication to work with technical and non-technical stakeholders
- Experience in developing data pipelines running on Spark
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.