
Senior Cloud Data Solutions Specialist
2 weeks ago
We are seeking a skilled Cloud Data Engineer to join our team. As a key member of our organization, you will play a vital role in designing and implementing scalable data solutions in the cloud.
This is an exceptional opportunity for a motivated individual to utilize their technical expertise and passion for innovative technology to drive business success.
Key Responsibilities:- Design, develop, and maintain 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.
- Implement version control and code collaboration using Git.
- Design and manage scalable data lakes using AWS S3 and related services.
- Work with Amazon DynamoDB and Redshift for high-performance data storage.
- Develop interactive dashboards using Amazon QuickSight.
- Automate workflows with AWS Step Functions, Lambda, and EventBridge.
- 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.
What We Offer:
- A competitive compensation package.
- Opportunities for professional growth and development.
- A collaborative and dynamic work environment.
Preferred Qualifications:
- Knowledge of data warehousing and data modeling.
- Exposure to big data technologies like Hadoop and Spark.
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