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| Job Location | Bangalore |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | IT - Software |
| Functional Area | General / Other Software |
| EmploymentType | Full-time |
Should have strong hands on knowledge in: Spark (with Python as language). End to end implementation and experience in data analytics solutions (data ingestion, processing, provisioning and visualization) for large scale and complex environments. Strong experience in Azure ecosystem such as HDInsight, Azure Data Factory, Azure Data Lake and SQL DW. Strong SQL knowledge. Should have s trong hands on experience in: Developing enterprise solutions using designing and building frameworks, enterprise patterns, database design and development. End to end Cloud solution on Azure (Azure SQL DW, Azure Data factory, HDInsight, Cosmos DB, Postgre SQL, SQL on Azure). Batch solution and distributed computing using ETL(SSIS, Informatica, Talend, Spark, SQL, AWS Glue, ADF) Distributed compute solution (Spark) Distributed storage and NoSQL storage Languages (Python, Scala) DWBI (MSBI, Oracle, Sql Server), performance tuning, memory optimization DB partitioning Frameworks, reusable components, accelerators, CICD automation . ,
Keyskills :
data analyticsdatabase design performance tuningoptimization strategies sqlaws cloudazure