Strong knowledge of SAS with programming experience
Develop and managereportand data feeds involving complex queries.
Perform root causeanalysis onfor data pipeline failures and data discrepancies.
Work with business partners to resolve defectsidentifiedin 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 reducethe humaninterference, user impact and to increasethe availability.
Partner with other teams and stake holders for any clarifications needed for thetimelydeliverables.
Ability to provide alternative solutions.
Experienced with agilemethodology.

Required Skills:

Experience with large datasetsmanagement
Experience with data pipelinescheduling
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 communicationand collaboration skills

RequiredExperience& 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

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