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Databricks Developer Jobs
Company | W3Global |
Address | Toronto, Ontario, Canada |
Employment type | CONTRACTOR |
Salary | |
Category | Information Technology & Services |
Expires | 2023-07-12 |
Posted at | 11 months ago |
Responsibilities
- Build and optimize Apache Spark jobs and clusters on the Databricks platform.
- Troubleshoot and debug issues related to data processing, performance, and job failures.
- Design and implement machine learning workflows using Databricks for predictive analytics and model training.
- Develop and maintain data ingestion processes to acquire data from various sources and systems.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Perform data analysis and exploratory data mining to derive insights from complex datasets.
- Implement data quality checks and validation procedures to ensure accuracy and integrity of data.
- Develop and maintain ETL (Extract, Transform, Load) pipelines using Databricks to process and transform large datasets.
- Stay updated with the latest advancements in big data technologies and contribute to the improvement of existing systems and processes.
- Collaborate with data engineers and data scientists to design and implement scalable and efficient data processing workflows.
- Familiarity with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
- Experience with data modeling, database systems, and SQL.
- Proficiency in programming languages like Python, Scala, or SQL for data manipulation and analytics.
- Knowledge of machine learning concepts and experience with ML libraries and frameworks.
- Excellent problem-solving skills and ability to work independently and in a team.
- Strong communication skills to collaborate with stakeholders from different technical backgrounds.
- Strong understanding of distributed computing principles and experience with large-scale data processing frameworks.
- Solid experience in developing data processing workflows using Apache Spark and Databricks.
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