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Azure Databricks + Pyspark

3 months ago

Bengaluru, Karnataka, India Cognizant Technology Solutions Full time

Azure Data Bricks JD:

  • Hands on experience in MS Azure Data bricks and Hadoop ecosystem components like DBFS, Parquet, Delta Tables, HDFS, Map Reduce programming, Kafka, Spark & Event Hub.
  • In depth understanding of Spark Architecture including Spark Core, Spark SQL, Data Frames, Spark Streaming, RDD caching, Spark MLib.
  • Hands on experience in Scripting languages like Scala & Python.
  • Hands on experience in Analysis, Design, Coding & Testing phases of SDLC with best practices.
  • Expertise in using Spark SQL with various data sources like JSON, Parquet and Key Value Pair.
  • Experience in creating tables, partitioning, bucketing, loading and aggregating data using Spark SQL/Scala.
  • Migrating the code from Traditional DW Environments to Apache Spark and Scala using Spark SQL, RDD.
  • Experience in transferring data from RDBMS/BLOB/ADLS to Data bricks using ADF.
  • Experience in Azure Database (PaaS) OR Azure SQL Data warehouse.
  • Experience in orchestrating the E2E data loads using the Azure Data Factory V2 / Logic Apps.
  • Experience in Cosmos DB.
  • Good knowledge on SQL Queries & Stored Procedures.
  • Hands on experience in MS Azure Data bricks and Hadoop ecosystem components like DBFS, Parquet, Delta Tables, HDFS, Map Reduce programming, Kafka, Spark & Event Hub.
  • In depth understanding of Spark Architecture including Spark Core, Spark SQL, Data Frames, Spark Streaming, RDD caching, Spark MLib.
  • Hands on experience in Scripting languages like Scala & Python.
  • Hands on experience in Analysis, Design, Coding & Testing phases of SDLC with best practices.
  • Expertise in using Spark SQL with various data sources like JSON, Parquet and Key Value Pair.
  • Experience in creating tables, partitioning, bucketing, loading and aggregating data using Spark SQL/Scala.
  • Migrating the code from Traditional DW Environments to Apache Spark and Scala using Spark SQL, RDD.
  • Experience in transferring data from RDBMS/BLOB/ADLS to Data bricks using ADF.
  • Experience in Azure Database (PaaS) OR Azure SQL Data warehouse.
  • Experience in orchestrating the E2E data loads using the Azure Data Factory V2 / Logic Apps.
  • Experience in Cosmos DB.
  • Good knowledge on SQL Queries & Stored Procedures.

Employee Status :
Full Time Employee

Shift :
Day Job

Travel :
No

Job Posting :
Jun

**About Cognizant