10+ years of relevant IT experience in the BI/DW domain with minimum 3 years of hands-on experience on Azure modern data platform that includes Data Factory Databricks Synapse (Azure SQL DW) and Azure Data Lake Meaningful experience of data analysis and transformation using Python/R/Scala on Azure Databricks or Apache Spark Well versed NoSQL data store concepts

Good knowledge in Distributed Processing using Databricks (preferred) or Apache Spark Ability to debug using tools like Ganglia UI expertise in Optimizing Spark Jobs The ability to work across structured semi-structured and unstructured data extracting information and identifying linkages across disparate data sets Expert in creating data structures optimized for storage and various query patterns for e.g.

Parquet and Delta Lake Meaningful experience in at least one database technology in each segment such as: oTraditional RDBMS (MS SQL Server Oracle) oMPP (Teradata Netezza) oNoSQL (MongoDB Cassandra Neo4J CosmosDB Gremlin)

Understanding of Information Security principles to ensure compliant handling and management of data Experience in traditional data warehousing / ETL tools (Informatica IBM Datastage Microsoft SSIS) Effective in communication Proficient at working with large and complex code bases (Github Gitflow Fork/Pull Model) Working experience in Agile methodologies (SCRUM XP Kanban

Additional Details

Global Grade : B
Remote work possibility : Yes
Global Role Family : 60236 (P) Software Engineering
Local Role Name : 6504 Developer / Software Engineer
Local Skills : 35611 Azure Databricks
Languages Required: : English

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Data Engineer