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Big Data Lead

Hexaware · United States

Mixed hiring record · median 29 days open

8989

Hiring signal

Actively hiring

Still listed on the employer's own board · How we score

All reasons
  • This role has been posted 7 times
  • 31% of this employer's openings are over 60 days old

In its favour

  • Still listed on the employer's own board

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Big Data Lead at Hexaware. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Expertise on Azure platforms including Azure Databricks, ADLS, and its various components,

  • In-dept knowledge and hands-on experience in Microsoft Azure data stack i.e., Azure Data Factory, Azure SQL Database, Azure Functions, Logic apps, Spark and Python programming etc.
  • Expertise on Azure platforms including Azure Databricks and its various components, including Delta Lake.
  • Strong understanding of data architecture and data management principles.
  • In-dept knowledge and hands-on experience in Microsoft Azure data stack i.e., Azure Data Factory, Azure Synapse, Azure SQL Database, Azure Functions, Logic apps, Spark Knowledge etc.
  • In-depth Knowledge on designing of ETL Piplines for Batch and Real time in Azure data factory and Azure datafactory
  • Hands on experience on Function apps , Event Hubs,, Web apps , API M.
  • Good have to experience on Migration to Salesforce
  • Strong experience with designing ETL/ELT Pipelines/Data flows using Azure Data Factory as Primary skill and SSIS/Informatica as additional skills.
  • Proficiency in programming languages such as Python, SQL, Spark notebooks and Scala.
  • Must have strong development & design skills in leading RDBMS environments e.g. MS SQL Server and Oracle 10g.
  • Experience of Big data approach, architectural concepts, data sourcing/ ingestion/ curation and storage mechanisms.
  • Experience with real-time / near-real-time Data warehousing concepts and Design approaches.

Skills

  • Amazon Redshift
  • Apache Spark
  • Azure Data Factory
  • BigData -Hadoop
  • BigData -Hive
  • Databricks
  • Google Cloud Platform
  • Scala
  • Snowflake

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