Data Engineer Leader for Cloud Data Platforms
6 days ago
We are seeking a Senior Data Engineer with extensive experience in Databricks, Python, Scala, Azure Synapse and Azure Data Factory to join our team at Recruit Panda. This position will play a key role in building and enhancing our Enterprise Data Platform (EDP) within the Azure cloud.
Job Description- Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.
- Collaborate with data engineers, data consumers, and other team members to create simple, functional, and elegant solutions that balance data needs across the organization.
- Solve complex data problems to deliver insights that help achieve organizational goals.
- Create data products that will be used throughout the organization.
- Advise, consult, mentor, and coach other data and analytic professionals on data standards and practices.
The ideal candidate will have 9-12 years of relevant experience in data engineering, with deep technical knowledge and experience in Databricks, Python, Scala, Microsoft Azure architecture and platform including Synapse, ADF pipelines and Synapse stored procedures.
Technical Requirements- Deep Technical knowledge and experience in Databricks, Python, Scala, Microsoft Azure architecture and platform including Synapse, ADF pipelines and Synapse stored procedures.
- Hands-on experience working with data pipelines using various source and target locations.
- Experience in engineering practices such as development, code refactoring, and leveraging design patterns, CI/CD, and building highly scalable data applications and processes.
We offer a competitive salary range of $180,000 - $250,000 per year, depending on experience.
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