Big Data Lead
- Toronto, ON, Canada
Full-time
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Job details
- Job type
- Full-time
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- Posting language
- English
- Posted
Original job description
Role: Big Data Lead
Location: Toronto, ON
Fulltime
Develop and maintain scalable data pipelines using PySpark and Spark SQL for processing large datasets efficiently. Write clean, reusable, and optimized code in Python for data manipulation, analysis, and automation tasks. Design and implement ETL workflows to extract, transform, and load data from various structured and unstructured sources. Collaborate with data engineers, analysts, and stakeholders to understand data requirements and deliver solutions. Optimize Spark jobs for performance tuning, resource utilization, and minimizing execution time. Work with distributed computing frameworks to process and analyze big data in a cloud or on-premises environment. Develop and maintain unit tests to ensure the accuracy and reliability of data pipelines and transformations. Utilize Spark SQL for querying and managing large datasets stored in distributed systems like Hadoop or cloud storage. Monitor and troubleshoot data pipeline issues, ensuring reliability and timely delivery of data. Stay updated with the latest advancements in PySpark, Spark SQL, and big data technologies to improve existing systems.
More about this job
Responsibilities
Develop, maintain, and optimize scalable data pipelines and ETL workflows using PySpark, Spark SQL, and Python to process large datasets. Collaborate with engineers, analysts, and stakeholders to deliver reliable data solutions, monitor pipeline performance, and troubleshoot issues.
Requirements
The role calls for practical expertise in PySpark, Spark SQL, Python, ETL workflows, and distributed data processing. It also requires the ability to optimize Spark jobs, develop unit tests, collaborate with stakeholders, and maintain reliable data pipelines.
Skills
- PySpark
- Spark SQL
- Python
- Data Pipelines
- ETL
- Data Transformation
- Big Data Processing
- Distributed Computing
- Apache Hadoop
- Performance Tuning
- Unit Testing
- Data Analysis
- Troubleshooting
- Cloud Storage
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Management & Leadership
- Finance & Accounting
Keywords
- PySpark
- Spark SQL
- Python
- Data Pipelines
- ETL
- Data Manipulation
- Data Analysis
- Automation
- Structured Data
- Unstructured Data
- Big Data
- Distributed Computing
- Apache Hadoop
- Cloud Storage
- On-Premises Environments
- Performance Tuning
- Resource Utilization
- Unit Testing
- Data Transformation
- Pipeline Monitoring
- Troubleshooting
- Banking
- Insurance
- Financial Services