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Direct message the job poster from Perficient The Data Engineer will be responsible for designing, developing, and maintaining data pipelines and solutions to enable our client to harness the power of the data for further analytics. We’re looking for passionate individuals with knowledge on modern cloud data platforms such as Databricks and Snowflake who want to learn DataOps concepts with tools such as DBT among others. Additionally, it is the expectation that people participate actively in all aspects of the data lifecycle and provide recommendations aligning to best practices within the process.
What do you need to come aboard?
- Databricks Data Engineer Associate certification or Snowpro Core certification idóneo
- 2 - 5 years of experience in the industry focused on modern cloud data platforms
- Passionate data engineer with knowledge of Databricks and/or Snowflake, with a focus on designing and implementing data pipelines
- Expertise in Snowflake and/or Databricks – be able to differentiate what makes these data platforms different from traditional data warehousing solutions, and how to model and stage data all the way from ingestion to ready for consumption layer
- Solid SQL skills and understanding of database systems
- Python skills are recommended
- Experience with data integration, data processing, and data quality
- Experience with CI/CD practices and tools including Git and branching strategies
- Experience using any of the big cloud (AWS, Azure, GCP) data services are recommended; Azure preferred
- Excellent English written and spoken
- Willing to learn new technologies as DBT
To Rock This Role, You Should
- Client facing or consulting experience highly preferred
- Strong communication and pre