AWS Data Technical Specialist - Glue, SQL, Python, DevOps, Snowflake
Technology, Data & Digital · Data, AI & Analytics · Data Engineering · DevOps
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Job Summary
These are Production Batch management roles, where the primary responsibility is to ensure the smooth running of the batch, but also to make engineering changes to improve it.
Key Responsibilities
1. Design, develop, and maintain data workflows and etl processes using amazon glue
2. Write complex sql queries to extract and manipulate data effectively
3. Develop python scripts for data processing and automation tasks
4. Implement devops solutions for continuous integration and deployment of data pipelines
5. Work with snowflake data warehouse for data storage and retrieval
6. Collaborate with cross functional teams to understand business requirements and deliver effective solutions
7. Troubleshoot and optimize existing data pipelines for performance and scalability
Skill Requirements
1. Proficiency in amazon glue for etl processes
2. Strong sql skills for data manipulation and querying
3. Advanced knowledge of python programming for automation and data processing
4. Experience with devops solutions for data pipeline management
5. Familiarity with snowflake data warehouse for data storage and retrieval
6. Analytical mindset with problem-solving skills
7. Strong communication and teamwork abilities
Other Requirements
1.Relevant certifications in Amazon Glue, SQL, Python, DevOps Solutions, or Snowflake are a plus