Azure data engineer

1 week ago

Pune, India Tata Consultancy Services Full time

Role - Azure Data EngineerRequired Technical Skill SetAzure Data Factory + Azure Databricks.Desired Experience Range - 8 TO 12 yearsLocation of RequirementMumbai, Bangalore, Hyderabad, Chennai, Gurgaon, Pune.Desired Competencies (Technical/Behavioral Competency)Must-HaveAzure Data Factory, Azure DatabricksGood-to-HavePython/PysparkResponsibility of / Expectations from the Role1 Dev Implementing highly performant, scalable and re-usable data ingestion and transformation pipelines across Azure components and services2 Dev Strong experience using Logic Apps, Functions & Data Factory3 Dev Strong experience of development using Microsoft Azure as well as experience of developing integrations for large, complex pieces of software.4 Dev Strong understanding of the technical side of CI / CD5 Dev Strong understanding of Agile6 Des Designing and implementing a data warehouse on Azure using Azure HDInsight, Azure Data Factory, ADLS, Databricks, SQL Server, SQL DWH, Analytics Service, Event Hubs, Key Vault and other Azure services7 Des Designing, orchestrating and implementing highly performant, scalable and re-usable data ingestion and transformation pipelines across Azure components and services8 Des Designing and implementing Event based and streaming data ingestion and processing using Azure Paa S services9 Des Data ingestion, data engineering and/or data curation using native Azure services or tools available in Azure Marketplace10 Des Designing and implementing data governance, data cataloguing and data lineage solutions using tools such as Azure Data Catalog/Informatica Data Catalog11 Des Developing physical data models in Mongo DB, SQL DWH ,...etc.12 Des Developing APIs13 Des Have worked in agile delivery teams with Dev Ops ways of working to continuously deliver iterative deployments with experience in using Jira, Git Repositories, Confluence, or similar14 Des Have had experience in data migration activities in the past including migration strategy and approach, source and target system discovery, analysis, mapping, development and reconciliation

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