AWS Databrciks Engineer
Job Description & How to Apply Below
Location: Toronto, ON Hybrid (3 days Onsite
- Tue, Wed, Thursday)
Total
Experience:
8-10 Years
AWS: 5 Years
Databricks: 1-2 Years.
Note: Citizens or PR only considered for the TCS role, sorry, OWP won't work.
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.
- 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.
- Databricks
- SQL
- Python
- Data Warehousing
- ETL
- Hadoop
- Kafka
Mid-Senior level
Employment typeContract
Job function- Information Technology
- Banking
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