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Data Operations Engineer responsibilities:
-Monitor and troubleshoot databases, data pipelines, workflows, and data warehouses.
-Maintain and optimize orchestration and automation workflows using Python-based tools.
-Diagnose platform and data issues, perform root cause analysis, and implement preventative solutions.
Required Experience:
-Semi-Senior level experience in IT Data Operations, Data Engineering, or related roles.
-Strong proficiency in SQL: complex queries, joins, aggregations, and data modeling.
-Hands-on experience with Python for orchestration, automation, and data manipulation.
Nice to have:
-Experience with AWS services (S3, Lambda, Glue), Airflow, Spark, PostgreSQL, Snowflake.
-Healthcare data knowledge.
-HIPAA/GDPR regulations knowledge.
Jobgether
This position is posted by Jobgether on behalf of a partner company, and they use an AI-powered matching process to ensure your application is reviewed quickly.