AWS support Engineer

• Design develop and maintain data pipelines and ETL processes.
• Utilize SQL and relational databases to extract transform and load data from various sources.
• Work with AWS services such as Step Functions Lambda S3 CloudWatch EventBridge Secrets Manager SNS SES ECR EKS MWAA (Airflow) and CodeArtifact to build scalable and reliable data solutions.
• Collaborate with crossfunctional teams to gather requirements and design data solutions that meet business needs.
• Develop and implement best practices for data management including data quality data governance and data security.
• Optimize performance and efficiency of data pipelines and ETL processes.
• Monitor data pipelines and troubleshoot issues as needed.
• Document technical designs processes and procedures.
• Stay updated on industry trends and emerging technologies in data engineering.

• Fouryear college degree in computer science or data engineering; or commensurate work experience.
• 3 years of experience using Snowflake (or SQL tool equivalent).
• Expertise in SQL and relational databases.
• Knowledge and experience with AWS services mentioned above.
• Proficiency in ETL and/or other data manipulation languages such as Python.
• Experience with dbtcore or dbtcloud is a plus.
• Strong communication (verbal and written) and interpersonal skills.
• Ability to work independently and collaboratively in a fastpaced environment.
• Problemsolving mindset with attention to detail.

data management,data solutions,dbt,data engineering,dbt-core,snowflake,pipelines,aws services,dbt-cloud,relational databases,etl processes,aws,data pipelines,data,sql,etl,databases,python