AWS Data Architect

TechDigital Group; United States; Remote; USD 80,000 - 120,000; Full time

Job summary

An innovative firm is seeking a Senior Technical Specialist to lead the implementation of cutting-edge data solutions using Amazon Glue, SQL, Python, and Snowflake. This role involves optimizing data workflows and ensuring efficient processing within the organization. You will be at the forefront of technical initiatives, driving improvements in data extraction, transformation, and loading processes. Join a forward-thinking team where your expertise in DevOps and data management will make a significant impact. If you're passionate about leveraging technology to enhance data operations, this opportunity is perfect for you.

Qualifications

• Proficient in Amazon Glue for ETL processes and strong SQL skills.
• Advanced knowledge of Python programming and experience with DevOps.

Responsibilities

• Develop and implement Amazon Glue workflows for ETL processes.
• Design and optimize SQL queries for efficient data retrieval.
• Utilize Python for automation and manage Snowflake data warehouse.

Skills

Amazon Glue

SQL

Python

DevOps Solutions

Snowflake

Education

Relevant certifications in Amazon Glue, SQL, Python, DevOps Solutions, or Snowflake

Job description

Mandate: AWS Data Senior Technical Specialist with Glue, SQL, Python, DevOps Solutions, Snowflake

Job Summary: The Senior Technical Specialist will be responsible for overseeing and implementing Amazon Glue, SQL, Python, DevOps Solutions, and Snowflake solutions within the organization. The role involves leading technical initiatives, optimizing data workflows, and ensuring efficient data processing within the systems.

Key Responsibilities:

1. Develop and implement Amazon Glue workflows for data extraction, transformation, and loading (ETL).
2. Design and optimize SQL queries for efficient data retrieval and manipulation.
3. Utilize Python programming for automation and data processing tasks.
4. Implement DevOps solutions to streamline development and deployment processes.
5. Manage and optimize Snowflake data warehouse for scalability and performance.

Skill Requirements:

1. Proficient in Amazon Glue for ETL processes.
2. Strong SQL skills for database querying and management.
3. Advanced knowledge of Python programming for automation and data manipulation.
4. Experience with DevOps solutions for continuous integration and deployment.
5. Hands-on experience with Snowflake data warehouse for managing and optimizing large datasets.

Certifications:

Relevant certifications in Amazon Glue, SQL, Python, DevOps Solutions, or Snowflake are a plus.