Senior Data Engineer - AWS Analytics & Snowflake

• Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
• Optimize existing data pipelines and analytics processes for performance and scalability.
• Conduct code reviews and provide mentorship to junior developers.
• Stay updated with the latest trends and best practices in AWS Analytics and data engineering.
• Ensure the quality and reliability of software through rigorous testing and validation.
• Document technical designs, processes, and workflows for future reference., HR Director needed- Hands on leader with Growth-Oriented Mindset for Manufacturing leader This Jobot Job is hosted by: James Moon Are you a fit? Easy Apply now by clicking the "…

• 11 hours ago

• 8-10 years of experience in software development with a focus on AWS Analytics.
• Strong expertise in AWS Analytics services (e.g., Amazon Redshift, AWS Glue, Amazon Athena, AWS Lambda).
• Experience with data modeling, ETL processes, and data integration techniques.
• Experience with containerization technologies (e.g., Docker, Kubernetes).
• Experience in Agile/Scrum methodologies.
• Proficient in Snowflake data warehousing solutions.
• Solid programming skills in languages such as Python, Java, or Scala.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Knowledge of machine learning concepts and frameworks.
• Understanding of DevOps practices and CI/CD pipelines.
• Strong problem-solving skills and the ability to work independently as well as in a team environment.
• Design, develop, and implement data analytics solutions using AWS services and Snowflake., * Bachelor's degree or equivalent combination of education and experience.

• $150,000-175,000 per year

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