
Cloud Data Architect
2 weeks ago
**Job Title:** Cloud Data Solutions Architect
Are you passionate about building robust and scalable data architectures in the cloud?
As a Cloud Data Solutions Architect, you'll have the opportunity to work on cutting-edge technologies like PySpark, AWS Glue, Lambda, Step Functions, and more to power our organization's data-driven decision-making.
Key Responsibilities:
- Design and implement robust ETL pipelines using PySpark and AWS Glue.
- Collaborate with cross-functional teams to ensure data quality and availability.
- Develop and optimize SQL queries for efficient data transformation.
- Utilize Git for version control and code collaboration.
- Design and manage 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 with AWS Step Functions, Lambda, and EventBridge.
- Monitor and optimize data workflows for performance and scalability.
- Troubleshoot data issues and ensure timely resolution.
Qualifications:
- Bachelor's degree 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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