
Cloud Data Solutions Engineer
11 hours ago
This is an exciting opportunity to build and maintain scalable data solutions in the cloud. As a Cloud Data Solutions Engineer, you will work on cutting-edge technologies like PySpark, AWS Glue, Lambda, and Step Functions to power data-driven decision-making.
- Design and implement robust ETL pipelines using PySpark and AWS Glue for efficient data processing.
- Collaborate with analysts and stakeholders to ensure high-quality data availability.
- Develop and optimize SQL queries for efficient data transformation and analysis.
- Use Git for version control and code collaboration to streamline development processes.
- Design and manage scalable data lakes using AWS S3 and related services for secure data storage.
- Work with Amazon DynamoDB and Redshift for high-performance data storage and querying.
- Create interactive dashboards using Amazon QuickSight for business insights.
- Automate workflows with AWS Step Functions, Lambda, and EventBridge for efficient process automation.
- Monitor and optimize data workflows for performance and scalability to meet business needs.
- Bachelor's degree in Computer Science, Data Science, or related field (Master's preferred).
- Strong hands-on experience with PySpark, Python, and SQL for data analysis and manipulation.
- Proficient in Git and AWS services (Glue, S3, Lambda, Redshift, Athena, DynamoDB, etc.) for efficient development and deployment.
- Familiarity with Databricks and its ecosystem for big data analytics.
- Excellent problem-solving and communication skills for effective collaboration and stakeholder management.
- Opportunities for professional growth and development.
- Collaborative and dynamic work environment.
- Competitive compensation package.
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