Job Description :

Role & Responsibilities:
Provide subject matter expertise and hands on delivery of data capture, curation and consumption pipelines on Azure
Ability to build Azure data solutions and provide technical perspective on storage, big data platform services, serverless architectures, Hadoop ecosystem, vendor products, RDBMS, DW/DM, NoSQL databases and security.
Participate in deep architectural discussions to build confidence and ensure team success when building new solutions and migrating existing data applications on the Azure platform.
Conduct full technical discovery, identifying pain points, business and technical requirements, “as is” and “to be” scenarios.
Understand the strategic direction set by senior management as it relates to team goals.
Use considerable judgment to define solution and seeks guidance on complex problems.
- Bachelors or higher degree in Computer Science or a related discipline. Master's degree in a
technical field preferred.
- Extensive experience providing practical direction within the Azure Native services and
Extensive hands-on experience implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Azure Functions, Synapse/DW, Azure SQL DB, Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks Azure Data Catalog, Cosmo Db, ML Studio, AI/ML, etc.
Minimum of 5 years of hands-on experience in Azure and Big Data technologies such as Powershell, C#, Java, Node.js, Python, SQL, ADLS/Blob, Spark/SparkSQL, Databricks, Hive and streaming technologies such as Kafka, EventHub, NiFI etc.
Cloud migration methodologies and processes including tools like Azure Data Factory, Data
Minimum of 5 years of RDBMS experience
- Experience in using Big Data File Formats and compression techniques

Experience working with Developer tools such as Azure DevOps, Bitbucket, Jira
Experience with private and public cloud architectures, pros/cons, and migration



Sharath Kumar 

Senior  Recruiter 




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