It's fun to work in a company where people truly BELIEVE in what they are doing!Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise.Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision.Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence.Position Overview :If you are an extraordinary architect 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.Location : Costa Rica / MexicoResponsibilities :Collaborates with technical architects, project managers, and other stakeholders to develop business cases in favor of a particular application.Design and build cloud solutions on Azure, choosing the best-in-class services, tools, and methodologies.Lead technical projects end-to-end right from design to release, owning the complete delivery.Translating business requirements into technology specifications, architecture design, data modeling, 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.Qualifications :Azure, Python, Client communicationStrong experience in System Integration, Application Development, or Data-Warehouse projects, across technologies used in the enterprise space.Proficient in data extraction from heterogeneous 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, etc.SQL and NoSQL - MySQL / MongoDB / Cassandra / PostgreSQL.Proficiency with CI / CDExpertise 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.Good to Have :CPG Domain UnderstandingIf you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!#J-18808-Ljbffr