
Cloud Data Solutions Architect
2 weeks ago
Key Responsibilities:
- Design and maintain robust ETL pipelines using PySpark and AWS Glue.
- Collaborate with analysts to ensure data quality and availability.
- Write and optimize SQL queries for efficient data transformation.
- Use version control systems like Git for code collaboration.
- Develop scalable data lakes using AWS S3 and related services.
- Work with Amazon DynamoDB and Redshift for high-performance data storage.
- Create interactive dashboards using Amazon QuickSight.
- Automate workflows using AWS Step Functions, Lambda, and EventBridge.
Qualifications:
- Bachelor's in Computer Science or related field (Master's preferred).
- Strong hands-on experience with PySpark, Python, and SQL.
- Proficient in Git and AWS services (Glue, S3, Lambda, Redshift, etc.).
- Familiarity with big data technologies like Hadoop and Spark.
- Excellent problem-solving and communication skills.
Preferred Skills:
- Data warehousing and data modeling expertise.
- Exposure to cloud-based data engineering platforms.
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