**Introduction** A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences. **Your role and responsibilities** * Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. * 7+ Yrs total experience in Data Engineering projects & 4+ years of relevant experience on Azure technology services and Python * Azure : Azure data factory, ADLS- Azure data lake store, Azure data bricks, * Mandatory Programming languages : Py-Spark, PL/SQL, Spark SQL * Database : SQL DB Experience with Azure: ADLS, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates * Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. * Experience with object-oriented/object function scripting languages: Python, SQL, Scala, Spark-SQL etc. * Data Warehousing experience with strong domain **Required technical and professional expertise** * Experience with Azure: ADLS, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates * Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. * Experience with object-oriented/object function scripting languages: Python, SQL, Scala, Spark-SQL etc **Preferred technical and professional experience** * Intuitive individual with an ability to manage change and proven time management * Proven interpersonal skills while contributing to team effort by accomplishing related results as needed * Up-to-date technical knowledge by attending educational workshops, reviewing publications IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.