Azure Cloud Solutions Architect

4 days ago


Jersey City, New Jersey, United States Saxon Global Full time

Job Title: Azure Cloud Solutions Architect

Job Summary:

We are seeking an experienced Azure Cloud Solutions Architect to join our team at Saxon Global. The ideal candidate will have a strong background in designing and implementing large-scale cloud solutions using Azure cloud platform.

Key Responsibilities:

  • Design and implement highly performant data ingestion pipelines from multiple sources using Azure Databricks.
  • Develop scalable and re-usable frameworks for ingesting of datasets.
  • Lead design of ETL, data integration and data migration.
  • Partner with architects, engineers, information analysts, business, and technology stakeholders for developing and deploying enterprise grade platforms that enable data-driven solutions.
  • Integrate the end to end data pipeline - to take data from source systems to target data repositories ensuring the quality and consistency of data is maintained at all times.
  • Work with event based / streaming technologies to ingest and process data.
  • Evaluate the performance and applicability of multiple tools against customer requirements.

Requirements:

  • Experience on ADLS, Azure Databricks, Azure SQL DB and Datawarehouse.
  • Strong working experience in Implementation of Azure cloud components using Azure Data Factory , Azure Data Analytics, Azure Data Lake, Azure Data Catalogue, LogicApps and FunctionApps.
  • Have knowledge in Azure Storage services (ADLS, Storage Accounts).
  • Expertise in designing and deploying data applications on cloud solutions on Azure.
  • Hands on experience in performance tuning and optimizing code running in Databricks environment.
  • Good understanding of SQL, T-SQL and/or PL/SQL.
  • Should have experience working in Agile projects with knowledge in Jira.
  • Good to have handled Data Ingestion projects in Azure environment.
  • Demonstrated analytical and problem-solving skills particularly those that apply to a big data environment.
  • Experience on Python scripting, Spark SQL PySpark is a plus.


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