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Minimum 8 years of experience with Hadoop, AWS Databricks - Excellent with Big Data concepts - storage, curation, consumption, scalability, maintainability, RBAC - Experience with batch processing and real time data processing using Spark/Databricks - Experience with large setup where raw data storage is ~1 Petabyte - Experience with generic ingestion, curation frameworks using AWS Databricks services - At least 2 years of experience migrating on-premise Data Lake to AWS - S3, Delta Lake/Lakehouse - At lest
2-3 years of healthcare experience - Excellent with AWS services - DataSync, S3, Airflow, Databricks (Python, Scala, SQL) - Excellent debugging skill with PySpark/Scala/SQL - Excellent written and verbal communication - Ability to participate in requirement gathering, scoping, architecture ,planning, DevOps and application roll-out within Agile execution - Experience with UAT of migrated analytical application in AWS - Experience with content creation/curation in Confluence
AWS, Bigdata, Databricks, Spark
Full Time