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Job Description

  • Develop and optimize data processing jobs using PySpark for complex transformations and aggregations
  • Design and implement robust data pipelines on AWS, ensuring scalability and performance
  • Utilize AWS services like EC2 and S3 for data processing and storage solutions
  • Manage SQL database schema design, query optimization, and performance tuning
  • Design and maintain scalable data warehouses using best practices in data modeling and ETL
  • Leverage modern data platforms for collaborative data science across varied sources
  • Maintain Databricks clusters and Spark jobs for optimal performance and data quality
  • Implement security, backup procedures, and disaster recovery plans using AWS best practices
  • Manage source code and automate deployment via GitHub with CI/CD pipelines
  • Troubleshoot and optimize PySpark scripts, Databricks notebooks, SQL queries, and Airflow DAGs
  • Stay current with advancements in cloud data technologies and recommend useful tools
  • Use Apache Airflow for orchestrating and automating data workflows reliably
  • Collaborate with data scientists and analysts to build models and pipelines for analytics and ML projects

More Info

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Open to candidates from:
Indian

About Company

At Fusion Plus Solutions Inc, we believe that it’s an exceptional company - a company of people proud of the work they do and the solutions they provide. By understanding what drives our specialty industries, becoming involved in our communities on a professional and personal basis, following a disciplined process of identifying quality candidates, partnering with employers to understand their core business and their employment requirements, and delivering exceptional service, we achieve great results for all concerned.

Job ID: 121913263

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