AWS Data Engineer

Job Title: AWS Data Engineer ( Snowflake)

Location: Onsite - Plano, TX

Years of Experience: 8-10 Years

Job Summary:

We are seeking a skilled Data Engineer with a strong focus on AWS and Snowflake technologies. The ideal candidate will possess in depth knowledge of Snowflake, particularly holding a Snowflake SnowPro certification. This role requires a proactive individual who can design, develop, and maintain data pipelines and architectures, ensuring data integrity and accessibility for analytics and reporting purposes.

Responsibilities:

• Design, develop, and implement data pipelines using AWS and Snowflake technologies.
• Collaborate with data scientists and analysts to understand data requirements and deliver high quality data solutions.
• Optimize and maintain existing data architectures and ETL processes for performance and scalability.
• Ensure data quality and integrity through rigorous testing and validation processes.
• Monitor and troubleshoot data pipeline issues, implementing solutions to improve reliability.
• Document data processes, architectures, and workflows for future reference and compliance.
• Stay updated with the latest industry trends and technologies related to data engineering and cloud computing.

Mandatory Skills:

• Strong expertise in Snowflake, with a valid Snowflake SnowPro certification.
• Proficient in AWS services such as S3, EC2, Lambda, and Glue.
• Experience with SQL and data modelling techniques.
• Hands on experience with ETL tools and data integration processes.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.

Preferred Skills:

• Familiarity with data visualization tools such as Tableau or Power BI.
• Experience with programming languages such as Python or Java.
• Knowledge of data warehousing concepts and best practices.
• Experience with Agile methodologies and project management tools.

Qualifications:

• Bachelor’s degree in computer science, Information Technology, or a related field.
• 8-10 years of experience in data engineering or a related role.
• Proven track record of successful data pipeline development and management.