Years of Experience:
- 8+ years of experience, Conga and typescript are a must.
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Knowledge, Skills, Abilities and Other: (KSAOs)
- 5+ years of hands-on experience in modern software development environments.
- Proven experience as a Data Engineer or similar role, with a strong understanding of data engineering principles and best practices.
- In-depth knowledge of AWS services and infrastructure, including but not limited to AWS Lambda, AWS Event Bridge, AWS SQS, AWS DynamoDB, AWS Step Functions, AWS S3, AWS CloudFormation and AWS CDK.
- Proficiency in at least one programming language for data manipulation and scripting (e.g., Python, Scala, Java, Typescript).
- Experience with data modeling, schema design, and optimization techniques for relational and NoSQL databases.
- Familiarity with big data technologies such as GraphQL, Kafka, Spark or Hadoop is a plus.
- Strong analytical and problem-solving skills, with the ability to analyze complex data systems and troubleshoot issues.
- Experience in all phases of the software development lifecycle, exposure to database development, and design pattern skills.
- Ability to work with both the business and functional resources to understand and define functional requirements.
- Experience with common development and debugging tools.
- Ability to work collaboratively within a team environment of cross-functional and cross-vendor teams and deliver to aggressive timelines.
- Excellent communication and collaboration skills, with the ability to work in a fast paced, team-oriented, and collaborative environment with minimal guidance.
- AWS certifications (e.g., AWS Certified Developer, AWS Certified Solutions Architect, AWS Certified Data Analytics – Specialty) are highly desirable.