Posted:3 days ago|
Platform:
Hybrid
Full Time
- Develop and maintain automation scripts to enhance operational strategy
- Manage performance monitoring across our assets to ensure proper measuring,
reporting, and alerting on anomalies and incidents
- Collaborate with engineering and application delivery teams in developing and
testing automation of repetitive, manual efforts
- Contribute to continuous improvement initiatives across the SRE practice
- Contribute to team projects improving our operational strategy through AI
integration
- Track and document repeated incidents to eliminate recurring problems
- Support of our Databricks user base and critical ETL pipelines
- Strong skills in troubleshooting and documentation of operational procedures
- Strong problem-solving skills
- Experience with Agile methodology
- A desire to learn and grow your experience
- Good communications skills
- Bachelors degree or equivalent experience
- 3+ years of experience in Developer, Operations roles
- 3+ years Hands on experiences in some AWS technologies like Cloud Watch,
Step Functions, Lambda, Glue, EC2, DynamoDB, SQS, ECS/EKS, Elastic
Search, Elastic Cache, Airflow to name a few
- Experience with scripting and automation using Python
- Experience with Shell scripting
- Familiarity with SQL, Spark, Pyspark and working with Cloud Based data
platforms like Databricks
- Understanding of version control systems and experience using Gitlab/Github
- Understanding of Development Operations and Software Development
Lifecycle
- Understanding of ticketing systems like ServiceNow
- Experience with Data warehousing concepts
- Experience with Delta Lake for managing large-scale data pipelines
- Basic knowledge of data access controls and workspace permissions in
Databricks
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