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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