Job Description

ROLE:DATA ENGINEER EXP:8+YRS JOB LOCATION:KOLKATA JD: A Data Engineer must have below, 1. Knowledge on any cloud platform 2. Azure Data Lake 3. Data Warehouse concept 4. Azure Data Factory 5. Azure Databricks (including Spark as a processing engine) 6. Python/Scala/Java/R 7. SparkSQL 8. Azure SQL 9. Azure Synapse 10. Data Modeling 11. ETL/ELT/ETLT concepts 12. Data Quality check 13. Power BI 14. Data Governance concept 15. Azure DevOps as Code Repository 16. SQL Server Management StudioA Data Engineer must have below, 1. Knowledge on any cloud platform 2. Azure Data Lake 3. Data Warehouse concept 4. Azure Data Factory 5. Azure Databricks (including Spark as a processing engine) 6. Python/Scala/Java/R 7. SparkSQL 8. Azure SQL 9. Azure Synapse 10. Data Modeling 11. ETL/ELT/ETLT concepts 12. Data Quality check 13. Power BI 14. Data Governance concept 15. Azure DevOps as Code Repository 16. SQL Server Management StudioA Data Engineer must have below, 1. Knowledge on any cloud platform 2. Azure Data Lake 3. Data Warehouse concept 4. Azure Data Factory 5. Azure Databricks (including Spark as a processing engine) 6. Python/Scala/Java/R 7. SparkSQL 8. Azure SQL 9. Azure Synapse 10. Data Modeling 11. ETL/ELT/ETLT concepts 12. Data Quality check 13. Power BI 14. Data Governance concept 15. Azure DevOps as Code Repository 16. SQL Server Management StudioA Data Engineer must have below, 1. Knowledge on any cloud platform 2. Azure Data Lake 3. Data Warehouse concept 4. Azure Data Factory 5. Azure Databricks (including Spark as a processing engine) 6. Python/Scala/Java/R 7. SparkSQL 8. Azure SQL 9. Azure Synapse 10. Data Modeling 11. ETL/ELT/ETLT concepts 12. Data Quality check 13. Power BI 14. Data Governance concept 15. Azure DevOps as Code Repository 16. SQL Server Management StudioA Data Engineer must have below, 1. Knowledge on any cloud platform 2. Azure Data Lake 3. Data Warehouse concept 4. Azure Data Factory 5. Azure Databricks (including Spark as a processing engine) 6. Python/Scala/Java/R 7. SparkSQL 8. Azure SQL 9. Azure Synapse 10. Data Modeling 11. ETL/ELT/ETLT concepts 12. Data Quality check 13. Power BI 14. Data Governance concept 15. Azure DevOps as Code Repository 16. SQL Server Management Studio

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