Responsible for monitoring ETL jobs across multi-domain enterprise data warehouse. Ensuring data is delivered on-time and accurately. Owning resolution of any issues and ensuring proper root cause analysis is documented.
Diagnosing and resolving application issues to ensure optimal performance and usability for the various system users and providing root cause analysis with recommendations for improvements.
Being accountable for performing daily, weekly, monthly, quarterly, and yearly operations tasks required for the ongoing functionality of the software applications
Carrying out programming and debugging duties (develop queries/reports of varying complexity, fix programmatic issues)
Researching, recommending and implementing changes to batch ETL jobs
Create operations and support-related documentation
Ready to work in Shifts (24x7 support – 3 shifts)
Required Skills
2-4 years of IT experience
Advanced skill in configuring and supporting software applications
Good knowledge in writing complex SQL queries
Experience with object-oriented language (python is a Plus)
Strong understanding of job orchestration tools like Jenkins and/or Airflow, code repository tools like Git and/or Bitbucket
Strong software development and debug/troubleshooting skills
Advanced ability to research, analyze and recommend improvements to the organization's use of the software applications
Advanced skill in creating and maintaining technical documentation
Nice to Have Skills:
Prior Production Support experience
Working knowledge of Spark and AWS technologies like S3, Lambda, and Step Functions
Working knowledge of Agile methodologies and ticketing tools like Jira
Working knowledge of incident management systems like ServiceNow and/or PagerDut
