Senior Data Engineer

Job Title: Sr. Data Engineer

Location: Remote

Experience: 8 years

Job Type: Full-Time

Description:

• We are seeking a seasoned Lead Platform Engineer with a strong background in platform development and a proven track record of leading technology design and teams.
• The ideal candidate will have at least 8 years of overall experience, with a minimum of 5 years in relevant roles.
• This position entails owning module design and spearheading the implementation process alongside a team of talented platform engineers.
• Minimum of 8 years of experience in software or platform engineering, with at least 5 years in roles directly relevant to platform development and team leadership
• Expertise in Python programming, with a solid foundation in writing clean, efficient, and scalable code.
• Proven experience in serverless application development, designing and implementing microservices, and working within event-driven architectures.
• Demonstrated experience in building and shipping high-quality SaaS platforms/applications on AWS, showcasing a portfolio of successful deployments.
• Comprehensive understanding of cloud computing concepts, AWS architectural best practices, and familiarity with a range of AWS services, including but not limited to Lambda, RDS, DynamoDB, and API Gateway.
• Exceptional problem-solving skills, with a proven ability to optimize complex systems for efficiency and scalability.
• Excellent communication skills, with a track record of effective collaboration with team members and successful engagement with stakeholders across various levels.
• Previous experience leading technology design and engineering teams, with a focus on mentoring, guiding, and driving the team towards achieving project milestones and technical excellence.

Good to Have

• AWS Certified Solutions Architect, AWS Certified Developer, or other relevant cloud development certifications.
• Experience with the AWS Boto3 SDK for Python.
• Exposure to other cloud platforms such as Azure or GCP.
• Knowledge of containerization and orchestration technologies, such as Docker and Kubernetes.