Senior Data Engineer

• 5+ years of strong hands-on experience in complete Software Development Life Cycle with Python, Apache Airflow, Apache Spark, Any Database and Java
• Experience in working with AWS DevOps infrastructure including CloudFormation, IAM, S3, VPC/Networking, Docker container running in AWS Fargate/Batch
• Should be able to build processes to enable efficient flow of work requests, support and product maintenance
• Should be hands-on with APIs, serverless, microservices architecture and leveraging CI/CD pipelines
• Should be hands-on working with git flow, pull requests and other version control related concepts
• Should be proficient in debugging applications, troubleshooting by running from the IDE as well as remote debugging, basic performance testing & tuning
• Should be able to estimate the effort involved in developing a feature/story
• Should be able to review, guide the other Junior, SEs/SSEs and be able to do code review, integrate the work

Good To Have:

• Knowledge on PostgreSQL in Amazon RDS is desirable
• Minimal knowledge of UX/UI design
• Minimal knowledge of application performance monitoring and observability (i.e. Datadog or New Relic)
• Knowledge of SAFe (Scaled Agile Framework) or any other agile framework