Strong knowledge of SAS with programming experienceDevelop and manage report and data feeds involving complex queries.Perform root cause analysis on for data pipeline failures and data discrepancies.Work with business partners to resolve defects identified in a timely manner .Understand the requirements and use cases provided.Automation of application health checks and manual workarounds using python.Enable the self-healing capabilities to reduce the human interference, user impact and to increase the availability .Partner with other teams and stake holders for any clarifications needed for the timely deliverables.Ability to provide alternative solutions.Experienced with agile methodology .Required Skills :
- Experience with large datasets management
- Experience with data pipeline scheduling
- Experience with AWS services IAM, EC2, S3, Cloud Watch, StepFunctions , Lambdas, MWAA, SQS, SNS, Glue, Athena etc
- Experience with continuous integration and continuous delivery (CI / CD) tools like GitHub, Jenkins etc
- Experience with MS Office suite & VBA along with good presentation skills.
- Experience with monitoring and logging tools such as Dynatrace or Splunk etc
- Excellent problem-solving skills and attention to details
- Strong communication and collaboration skills
Required Experience & Education :
- bachelors degree in the related field.
- 11 + years of experience in developer role.
- 8 + years of hands-on development experience with Python
- 6+ years of experience with SAS programming
- 6+ years of relational database management systems like Oracle, SQL server and Teradata
Desired Experience :
- AWS certification preferred
Skills Required
Data Pipeline, Sas, Python, Sql, Aws