Job Description

Job Title:

Azure Data Engineer/Architect - Bilingual

Job Description

We're Concentrix. The intelligent transformation partner. Solution-focused. Tech-powered. Intelligence-fueled.
The global technology and services leader that powers the world's best brands, today and into the future. We're solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we're the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent.
The Concentrix Catalyst team is the driving force behind Concentrix's transformation, data, and technology services. We integrate world-class digital engineering, creativity, and a deep understanding of human behavior to find and unlock value through tech-powered and intelligence-fueled experiences. We combine human-centered design, powerful data, and strong tech to accelerate transformation at scale. You will be surrounded by the best in the world providing market leading technology and insights to modernize and simplify the customer experience. Within our professional services team, you will deliver strategic consulting, design, advisory services, market research, and contact center analytics that deliver insights to improve outcomes and value for our clients. Hence achieving our vision.
Our game-changers around the world have devoted their careers to ensuring every relationship is exceptional. And we're proud to be recognized with awards such as "World's Best Workplaces," "Best Companies for Career Growth," and "Best Company Culture," year after year.
Join us and be part of this journey towards greater opportunities and brighter futures.

We are seeking a Senior Azure Data Engineer/Architect with strong experience in Integration and Data Systems . This role is responsible for designing and implementing scalable, secure, and high-performance Azure solutions, combining integration platforms and data engineering architectures.

Responsibilities

  • Design and develop complex integration solutions using Azure Integration Services, Azure Logic Apps, Azure APIM, Azure Service Bus, Azure Functions, and other Azure services.

  • Develop, maintain, and optimize Azure Data Factory pipelines to load data from multiple source systems.

  • Perform data transformations using Azure Synapse Analytics.

  • Participate in projects involving the migration of Microsoft BizTalk interfaces to Azure Service Bus and Azure Logic Apps.

  • Design and maintain databases using SQL Server.

  • Collaborate closely with other developers and technical teams to deliver high-quality solutions.

Requirements

  • Over 7 years of comprehensive IT experience specializing in Data Engineer/Architect roles.

  • Strong expertise in Azure Data services (Azure Synapse Analytics, Azure Databricks, Azure Data Factory, Azure Data Warehouse).

  • Extensive expertise developing Data Factory pipelines for loading data from diverse source systems.

  • Proficient in transforming data utilizing Azure Synapse Analytics.

  • Solid knowledge of Azure services (Integration Services, Logic Apps, API Management, Service Bus, Functions, Storage).

  • Good knowledge of ETL tools, SSIS, SSRS, and SSAS.

  • Strong experience developing ETL strategies using SSIS and Azure Data Factory.

  • Hands-on experience with Big Data technologies (Hive, Kudu, PySpark).

  • Experienced in database designing using MS SQL Server.

  • Proficient in SQL development.

  • Demonstrated expert-level skills in T-SQL and query optimization.

  • Proficiency in Business Intelligence tools (MS SQL Server, SSAS, Power BI).

  • Experience with GitHub and GitHub Actions.

  • Experience with Microsoft BizTalk.

  • Strong communication skills and ability to work collaboratively in a team environment.

#LI-Remote #Latam #DataEngineer #Azure #AzureData

Location:

MEX Work-at-Home

Language Requirements:

Time Type:

Full time

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