Remote Sr. Cloud Data Engineer

Description:

• The Senior Cloud Data Engineer will collaborate with the product lead on various algorithmic data science projects.
• Responsibilities include designing, coding, testing, and analyzing software programs and applications.
• Research, design, document, and modify software specifications throughout the production lifecycle.
• Create critical business reports, analyze and fix software errors promptly, and provide status reports as needed.
• Work with the Product team to understand requirements and propose solutions to meet users' needs.
• Analyze requirements, design and develop solutions using relevant programming languages.
• Thoroughly test solutions and conduct research on software-related issues.
• Bring innovative solutions to address challenging problems.
• Prioritize and execute tasks efficiently in a fast-paced environment.
• Work independently and collaboratively in a team-oriented environment.
• Adapt to learning new technologies and demonstrate self-motivation.
• Stay updated on the latest technologies and industry trends in data engineering.

Requirements:

• Experience in designing, developing, and maintaining data pipelines on the AWS cloud platform.
• Proficiency in developing solutions using Snowflake database.
• Hands-on experience in software troubleshooting.
• Strong analytical and problem-solving skills.
• Familiarity with the software development life cycle.
• Ability to work closely with product leads to identify and prioritize data needs.
• Collaborate with cross-functional teams to ensure data quality and accuracy.
• Monitor and optimize data pipeline performance continuously.
• Hands-on experience with AWS cloud architecture and developing data pipelines using various AWS technologies.
• Proficiency in building and monitoring CloudWatch alarms.
• Experience with AWS CICD suite and Python (intermediate/expert level).
• Experience with Spark (strongly preferred) and Snowflake database.
• Proficiency in troubleshooting complex SQL problems.
• Ability to work in a fast-paced, dynamic environment with strong problem-solving skills.
• Good communication and collaboration skills.

Benefits:

• Opportunity to work on multiple algorithmic data science projects.
• Chance to collaborate with a diverse team and product lead.
• Exposure to cutting-edge technologies and industry trends in data engineering.
• Room for professional growth and development.
• Competitive salary and benefits package.
• Remote work flexibility.