What are the responsibilities and job description for the Senior Data Engineer - Databricks position at Dornan Technologies?
Job Details
Data Engineer - Databricks Job Description
The Data Engineer - Databricks will be responsible for building and optimizing our data pipelines, architectures, and data sets. You will work closely with data scientists, analysts, and other engineers to support their data needs and maximize the value of our data processing capabilities.
Responsibilities
- Design, develop, and maintain scalable and robust data pipelines on Databricks.
- Collaborate with data scientists and analysts to understand data requirements and deliver solutions.
- Optimize and troubleshoot existing data pipelines for performance and reliability.
- Ensure data quality and integrity across various data sources.
- Implement data security and compliance best practices.
- Monitor data pipeline performance and conduct necessary maintenance and updates.
- Document data pipeline processes and technical specifications.
Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 7 years of experience in data engineering.
- Proficiency with Databricks and Spark.
- Databricks Certification Mandatory.
- Strong SQL skills and experience with relational databases.
- Experience with big data technologies (e.g., Hadoop, Kafka).
- Knowledge of data warehousing concepts and ETL processes.
- Excellent problem-solving and analytical skills.
Skills
- Databricks
- Palantir
- Apache Spark
- SQL
- Python
- Data Warehousing
- ETL
- Hadoop
- Kafka
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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