Software Engineer I

Job Description

We are building up a new group within Anthology focused on the data platform. This team s mission is to bring data together from across Anthology s extensive product lines into our cloud-based data lake. We are the analytics and data experts at Anthology. Our team enables other development teams to utilize the data lake strategically and effectively for a variety of Anthology products. We deliver products and services for analytics, data science, business intelligence, and reporting. The successful candidate will have a strong foundation in software development, scaled infrastructure, containerization, pipeline development, and configuration management as well as strong problem-solving skills, analytical thinking skills, and strong written and oral communication skills . Primary responsibilities will include: Learning quickly and developing creative solutionsthatencompassperformance, reliability, maintainability,and security Applying hands-on implementation solutions using the AWS tool suite and other components to support Anthology products that utilize an expansive data lake Working with the development manager, product manager, and engineering team on projects related to system research, product design, product development, and defect resolution Being willing to respond to the unique challenges of delivering and maintaining cloud-based software. This includes minimizing downtime, troubleshooting live production environments, and responding to client-reported issues Working with other engineering personnel to ensure consistency among products Through continued iteration on existing development processes, ensuring that we re leading by example, fixing things that aren t working, and always improving our expectations of ourselves and others Thriving in the face of difficult problems Working independently with general supervision The Candidate: Required skills/qualifications: 2-4 yearsofexperience designing and developing enterprise solutions including serverless/functionless API services Knowledge of the OOP Experience with Python, Typescript/JavaScript Experience with SQL using Snowflake, Oracle, MSSQL, PostgreSQL, or other RDBMS Data structure algorithm analysis and design skills Knowledge of distributed systems and tradeoffs in consistency, availability, and network failure tolerance Knowledge of professional engineering best practices for the full SDLC, including coding standards, code reviews, source control management, build processes, testing, and operations Knowledge of a broader set of tools in the AWS tool suite (CDK, CloudFront, CloudWatch, CodeCommit, CodeBuild, CodePipeline, Lambda, API Gateway, SNS, SQS, S3, KMS, Batch, DynamoDB, DMS), Docker Fluency in written and spoken English Preferred skills/qualifications: Experience designing, developing, and operating scalable near real-time data pipelines and stream processing Experience with designing and implementing ETL processes Experience with fact/dimensional modeling (Kimball, Inmon) Previous experience in the education industry and e-learning technologies