Databricks Engineer with a Focus on Scalability
6 days ago
We are looking for an experienced Senior Data Engineer to lead our Databricks Platform efforts. This role involves designing and implementing scalable data solutions using Databricks, ensuring optimal performance and cost efficiency.
Key Responsibilities:
- Databricks Implementation: Design and implement robust data pipelines leveraging Databricks notebooks and Spark.
- Data Pipeline Development: Build and maintain ETL/ELT data pipelines to process large datasets from various sources, utilizing Databricks.
- Collaboration: Work closely with data scientists, analysts, and business stakeholders to understand data requirements and translate them into technical solutions.
Requirements:
- Bachelor's or master's degree in computer science, Data Engineering, or a related field.
- 6+ years of experience in data engineering or data platform development, with a strong focus on Databricks.
- Proficiency in Apache Spark, with hands-on experience in Spark SQL and DataFrames.
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