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Job Description Responsibilities Design and Development of cloud-based microservices to collect data Design and Development of REST API to serve Data as a Service Design and Development of Data Quality framework to enable automated data quality checks across data pipelines Write efficient, maintainable, and reusable code in at least one programming language (e.g., Java, Python, GoLang, GoSu, etc). Responsible for developing and maintaining CI/CD pipelines Maintain and stabilize existing data pipelines and infrastructure to provide timely, quality and accurate data Analysis, Performance Improvement, Development, Deployment and Contribute to overall product requirements Perform code review and develop best coding practices Indulge in brainstorming sessions to help team gain technical knowledge and grow equally Define release process improvements along with management of pipeline changes Collaborate with peer teams and support each other s on deliverables Qualification Bachelor s or Master s degree in Computer Science or equivalent industry technical skills 8+ years of professional development experience Proven lead experience and a strong understanding of the Software Development Life Cycle (SDLC) process In-depth knowledge on strong experience in any one of the Python, Java, GoLang, C, etc programming language and should be an expert in Object Oriented Programming Strong experience in AWS service - Glue, Athena, Iceberg, MWAA(Airflow), EC2, ECS, Lambda, StepFunction, S3, SQS preferred. Experience in other AWS services are added advantage Expertise in both SQL and NoSQL databases. Experience in Postgres, Redshift, MongoDB and DynamoDB are preferred Experience in Linux and Shell scripting preferred Experience in Docker, Kubernetes, or MicroService preferred Experience in Airflow and Jenkins preferred Experience in FAST API, Flask Framework, SQL alchemy are preferred Expertise in version control tools Git, Bitbucket preferred Experience in creating and implementing a strong data quality system that checks data accuracy at every step, backed by thorough monitoring and observability features
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