Senior Data Engineer
- Work on applications and data pipelines related to supplier, store, item, buyer workflow, quote/request/approval tracking, and enterprise retail data processing.
- Provide development expertise with the following : Azure Data Factory, Azure Databricks, PySpark, SparkSQL, Azure Data Lake, SQL Azure, Synapse Analytics, Event Hub, AKS, Oracle RPAS, RMS and Harness CI/CD pipelines.
- Provide development and support services to the client.
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
- 6+ years of experience in Data Engineering
- 3+ years of experience in Azure Data Engineering
- 2+ years of experience with PySpark/Databricks
- 4+ years of experience with SQL/Datawarehousing
- 3+ years of experience with production support
- 2+ years in the retail domain
- Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
- Limited immigration sponsorship may be available
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
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