Job Summary :
As a Senior 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 is a fully remote role.
Job Responsibilities :
- 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 :
- Strong work experience on AWS Data Analytics stack - EMR, Redshift, Kinesis / managed Kafka, Glue
- Experience with Snowflake in workflow
- Experience with other dashboarding solutions like Tableau, Qlik and / or similar programs is a plus.
- SQL Knowledge
- Data Pipelines running on Spark
Additional Desired Skills :
- Experience on Azure and GCP data stack is definitely a plus
- Strong communication to work with technical and non-technical stakeholders
Education and Experience :
- Bachelor's degree or equivalent experience and / or military experience
- 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.
- years of work experience in developing data pipelines running on Spark
- years of work experience developing green file and legacy data modernization projects on Snowflake
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