
Leading Big Data Architectures
4 days ago
Senior Data Engineer Position Overview
- We are seeking a seasoned data engineer to lead the development of our big data infrastructure. The ideal candidate will have extensive experience with Databricks, DLT, and PySpark.
The Senior Data Engineer will be responsible for designing, implementing, and maintaining large-scale data pipelines using Databricks and DLT technologies.
Key Responsibilities:- Design and implement scalable data architectures using Databricks and DLT
- Develop and maintain complex data pipelines using PySpark and other relevant technologies
- Collaborate with cross-functional teams to identify and prioritize project requirements
- Analyze system performance and optimize data processing workflows
- Implement data security measures to protect sensitive information
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- 10+ years of overall experience and 8+ years of relevant experience in Databricks, DLT, PySpark, and Data Modeling concepts
- Proficiency in programming languages such as Python, PySpark, Scala, and SQL
- Strong understanding of distributed computing principles and experience with big data technologies like Apache Spark
- Experience with cloud platforms like AWS, Azure, or GCP and their associated data services
- Excellent problem-solving skills and attention to detail
- Strong communication and collaboration skills
- Experience with containerization technologies like Docker and Kubernetes
- Knowledge of DevOps practices for automated deployment and monitoring of data pipelines
This is a unique opportunity to join a dynamic team and contribute to the development of innovative data solutions. If you have the required skills and experience, please submit your application.
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