AWS Databricks Engineer
Toronto - Hybrid (3 days Tuesday to Thursday Work from Office, 2 days Monday and Friday Remote)
Primary Competency Proficiency Details
Digital : Apache Spark E2||Digital : Kafka E2||Digital : Databricks E2
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.5+ years of experience in data engineering.Proficiency with Databricks and Spark.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
DatabricksApache SparkSQLPythonData WarehousingETLHadoopKafka