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1 day ago
We are seeking an experienced Data Engineer to join our team. As a key member of our data engineering department, you will design and develop robust data processing pipelines and analytics solutions using Databricks.
The ideal candidate will have a solid understanding of distributed computing principles and big data frameworks like Apache Spark. They will also be proficient in Python, Scala, or SQL and have experience with major cloud platforms (AWS, Azure, or GCP) and their respective data services.
In this role, you will collaborate with architecture and engineering teams to migrate existing solutions to Databricks and tune and optimize Databricks clusters and job performance to meet SLAs and evolving business needs. You will also implement best practices for data governance, security, and compliance on the Databricks platform.
To succeed in this position, you should have a bachelor's or master's degree in Computer Science, Engineering, or a related technical discipline, and at least 5 years of overall experience in data engineering, with a minimum of 2 years focused on Databricks.
Required Skills and Qualifications:- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical discipline.
- At least 5 years of overall experience in data engineering, with a minimum of 2 years focused on Databricks.
- Hands-on proficiency in Python, Scala, or SQL.
- Solid understanding of distributed computing principles and big data frameworks like Apache Spark.
- Experience with major cloud platforms (AWS, Azure, or GCP) and their respective data services.
- Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
- Understanding of DevOps practices for automating deployments and monitoring data pipelines.
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