Azure Cloud And Databricks Data Engineer/architect Job In Tredence Analytics Solutions Private Limited In Bengaluru / Bangalore

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Job Details
Job Title: Azure Cloud and Databricks Data Engineer/ArchitectREQUIREMENTS
  • Minimum 4 to 10 years of experience in Databricks data engineering with overall 10+ years IT experience
  • Must have experience in Pyspark, Scala, python codes
  • Must have good experience in data bricks architecting
  • Must have experience in Azure data factory and synapses
  • Must have good experience in analysis code and downstream
  • Good understanding on Ingestion optimization methodologies
  • Good understanding on CDC, SCD and delta data analysis in data bricks
  • Must have good exposer on delta lake
  • Must know target data model or Lift and shift methods
  • Good understanding of data partitioning strategies
  • Must have experience in converting business requirement into technical concepts
  • Azure certification is preferred (optional)
  • Must have Unix and Windows background
  • Good to have experience with Azure Synapse, PowerBI
  • Proven ability to work with large cross functional teams with good communication skills
RESPONSIBILITIES
  • Design and implement Azure Databricks best practices
  • Design and implement Databricks data Ingestion methodologies
  • Design and implement CDC, SCD and Delta-Lake
  • Understand/assessment of larger Azure Databricks ecosystem
  • Identify Databricks Inter dependency with ADF and Synapse from the client team
  • Induce watermarks and process pathways based on Data Volume and velocity in Databricks.

  • Redesign partitioning strategy based on the assessment
  • Define Strategy roadmap for Data Ops optimization
  • Understand Databricks data volume movement to the destination
  • Understand data consumption for reporting
  • Identify prerequisites for launching an Azure Databricks workspace
  • Deploy an Azure Databricks workspace in the Azure portal
  • Launch the deployed Azure Databricks workspace
  • Access the Admin Console in the deployed Azure Databricks workspace
  • Describe identity provider and Azure Active Directory integrations and access control configurations for an Azure Databricks workspace.

  • Describe security standards and configurations for compliance, including cluster policies, Bring Your Own Key, and audit logs
  • Design and implement Azure Databricks security best practices
  • Enable additional cluster configurations and purge deleted objects from workspace storage
  • Configure access control for workspace objects, such as notebooks and folders
  • Configure access control for clusters, pools, and jobs
  • Ability to build from good relationships with clients/operational managers and colleagues
  • Design, implement, configure, and maintain Azure SaaS/PaaS/IaaS Cloud Services for hosting wide range of complex projects - desirable.

  • Resolve issues and provide technical assistance on the Azure cloud-hosted environment
  • Create and maintain Cloud security strategies, policies, procedures, and documentation
  • Perform and evaluate cost analyses and vendor comparisons of data systems to ensure cost-effective, efficiency and measures feasibility of various approaches and makes recommendations
  • Needs to have a continual improvement mindset while working within a team centric environment
  • Explain encryptions and permissions available for data protection, such as identity provider authentication, secrets, and table access control
  • Provide work guidance to less experienced personnel
Notice period : 0 to 20 Days ONLY*
Candidate Profile
Minimum 4 To 10 Years Of Experience In Databricks Data Engineering With Overall 10+ Years It Experience.must Have Experience In Pyspark, Scala, Python Codes

Tredence Analytics Solutions Private Limited is looking for Any Graduate / Post Graduate profile candidates.

Short Job Information


Job Title : Azure Cloud And Databricks Data Engineer/architect
Job Location : Bengaluru / Bangalore
Education : Any Graduate / Post Graduate
Category : Computers / IT
Experience : 4 ( years )
Post Date : 28 December, 2022
Last Date : 27 June, 2023
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