Azure Data Engineer en Larsen & Toubro Infotech Ltd.

LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 750 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scaleRole : Azure Data Engineer

Location : Costa Rica (Hybrid mode)

Job Description:

1. Candidate must have at least 4-7 yrs experience in design and development of ETL solutions in Azure stack
2. Strong understanding of Azure service components like ADF, Data Bricks, SQL DB / SQL Server, Azure Blob storage, AAS and Power BI. Should be able to show working experience across all these technologies.
3. Should be experienced in migrating on-prem and legacy DWH to Azure stack
4. Must have a working experience in Azure DevOps and CI/CD tools at each phase of the SDLC cycle. All project management and test coordination will happen through DevOps and should be able to manage and drive deliverables and report status through DevOps.
5. Candidate must be familiar with Azure security model and Storage accounts
6. Candidate must have Azure Databrick expertise with Python / Spark (Scala would be great). Strong understanding of Data Bricks background architecture, and advanced concepts like Security and productionalization.
7. Should be able to develop end to end automations in Azure stack – for ETL workflows, data quality validations and reporting, SIT automations through DevOps etc,
8. Must have good understanding of understanding of provisioning of Databricks and Azure resources
9. Good understanding of coding standards (code modularization, refactoring), testing automation
10. Familiarity with Airflow will be an added advantage.
11. Candidate must have at least 2-3 yrs experience in productionized applications.

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