ABOUT THE JOB DATA ENGINEER (AZURE)

Location: Mexico
If you are an extraordinary architect and who loves to push the boundaries to solve complex business problems using creative solutions, then we wish to talk with you. As a Data Engineer -Azure, you will work in the Technology team that helps deliver our Data Engineering offerings at large scale to our Fortune clients worldwide. The role is responsible for innovating, building and maintaining technology services.

QUALIFICATIONS:

• Proficiency with Azure, Python, and Client communication
• Strong experience in System Integration, Application Development or Data-Warehouse projects, across technologies used in the enterprise space
• Proficient in data extraction from heterogenous sources, performing EDA, data integrity and quality checks, and applying data cleansing techniques, transform data for modeling

-Expert in Azure Services - Databricks, ADLS, Azure Data Factory, Kafka, CosmosDB, among others.

• Experience with SQL and Nosql databases (MySQL/MongoDB/Cassandra/PostgreSQL)
• Proficiency with CI/CD processes and tools
• Expertise in Python, Azure, Hadoop (Hive, HBase, HDFS, Map Reduce, Others), Spark are required
• Ability to work with a global team of consulting professionals across multiple projects

EDUCATION:

B.E/B.Tech/M.Tech in Computer Science, related technical degree, or equivalent experience.

• Collaborate with technical architects, project managers, and other stakeholders to develop business case in favor of a particular application
• Design and build cloud solutions on Azure, choosing the best-in-class services, tools, methodologies
• Lead technical projects end-to-end right from design to release, owning the complete delivery
• Translate business requirements into technology specifications, architecture design, data modelling, build, release management, DevOps and stakeholder management including tech/IT teams
• Be an integral part of large scale client business development and delivery engagements
• Develop the software and systems needed for end-to-end execution on large projects
• Work across all phases of SDLC, and use Software Engineering principles to build scaled solutions
• Build the knowledge base required to deliver increasingly complex technology projects