Senior Cloud Data Engineer responsible for operating and optimizing cloud-based data environments. Collaborating with analytics teams and specializing in AWS, Databricks, and Spark technologies.
Responsibilities
Responsible for operating and optimizing our cloud-based data processing environment.
Work with Databricks, AWS services, Spark, Unity Catalog, and Delta Lake to ensure efficient, secure, and reliable data pipelines and analytics workloads.
Refines data transformations using PySpark and Spark SQL within notebooks.
Leverages orchestration tools like Apache Airflow to automate data workflows.
Participates in code reviews, testing, and documentation.
Supports and troubleshoots Databricks jobs, Spark workloads, and AWS-based data processes
Optimizes Databricks clusters and jobs for performance and cost.
Works closely with data engineering and analytics teams to improve data quality.
Requirements
Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or similar
Master’s Degree will be considered as an asset
5+ years of experience in big data operations or cloud-based data engineering.
Strong hands-on experience with AWS, Databricks, Delta Lake, and Apache Spark
Proficient in Python, SQL, and PySpark
Experience with CI/CD, version control, and release processes (AWS CodePipeline, Git)
Experience with monitoring, debugging, and optimizing ETL/ELT and Spark workloads
Knowledge of data governance frameworks and exposure to enterprise security or regulated environments will be considered as an asset
**Competencies**
Excellent problem-solving skills and attention to detail
Strong communication skills and the ability to work collaboratively in a team environment
Effective time management with ability to multi-task and prioritize work
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