
Senior Cloud Data Solutions Specialist
2 days ago
We are seeking a skilled Cloud Data Engineer to join our team. As a key member of our organization, you will be responsible for designing and implementing scalable data solutions in the cloud.
Key Responsibilities:
- Data Pipeline Engineering: Design and build robust ETL pipelines using PySpark and AWS Glue.
- Collaboration and Communication: Work closely with analysts and stakeholders to ensure high-quality data and meet business needs.
- Query Optimization: Write and optimize SQL queries for efficient data transformation and storage.
- Code Collaboration: Use Git for version control and code collaboration.
- Scalable Data Lakes: Design and manage scalable data lakes using AWS S3 and related services.
- Data Storage and Retrieval: Work with Amazon DynamoDB and Redshift for high-performance data storage and retrieval.
- Interactive Dashboards: Create interactive dashboards using Amazon QuickSight.
- Automation and Orchestration: Automate workflows with AWS Step Functions, Lambda, and EventBridge.
- Performance and Scalability: Monitor and optimize data workflows for performance and scalability.
Qualifications:
- Bachelor's in Computer Science, Data 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, Athena, DynamoDB, etc.).
- Familiarity with Databricks and its ecosystem.
- Excellent problem-solving and communication skills.
- Ability to thrive in a fast-paced, collaborative environment.
Preferred Skills:
- Knowledge of data warehousing and data modeling.
- Exposure to big data technologies like Hadoop and Spark.
- AWS certifications in data engineering are a plus.
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