Job Summary
The Data Engineer - Databricks will be responsible for building and optimizing our data pipelines, architectures, and data sets. He will work closely with data scientists, analysts, and other engineers to support their data needs and maximize the value of our data processing capabilities.
Key Responsibilities
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Design, develop, and maintain scalable and robust data pipelines on Databricks.
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Collaborate with data scientists and analysts to understand data requirements and deliver solutions.
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Optimize and troubleshoot existing data pipelines for performance and reliability.
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Ensure data quality and integrity across various data sources.
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Implement data security and compliance best practices.
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Monitor data pipeline performance and conduct necessary maintenance and updates.
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Document data pipeline processes and technical specifications.
Skill Requirements
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A bachelor’s degree in computer science, Engineering, or a closely related discipline is required.
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5+ years of experience in data engineering.
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Proficiency with Databricks, Python and Spark.
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Strong SQL skills and experience with relational databases.
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Experience with big data technologies (e.g., Hadoop, Kafka).
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Knowledge of data warehousing concepts and ETL processes.
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Excellent problem-solving and analytical skills.