**Introduction** A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. **Your role and responsibilities** As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and Azure Cloud Data Platform * Responsibilities: * Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark and Hive, Hbase or other NoSQL databases on Azure Cloud Data Platform or HDFS * Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform * Experience in developing streaming pipelines * Experience to work with Hadoop / Azure eco system components to implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies Apache Spark, Kafka, any Cloud computing etc **Required technical and professional expertise** * Total 6 - 7+ years of experience in Data Management (DW, DL, Data Platform, Lakehouse) and Data Engineering skills * Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala; * Minimum 3 years of experience on Cloud Data Platforms on Azure; * Experience in DataBricks / Azure HDInsight / Azure Data Factory, Synapse, SQL Server DB * Good to excellent SQL skills * Exposure to streaming solutions and message brokers like Kafka technologies * Experience Unix / Linux Commands and basic work experience in Shell Scripting * Demonstrated ability in designing and building for data ingestion, data cleansing, ETL, loading data layers and exposing data for consumers. * Experience of using DevOps and working in Agile environments * Collaborative environments that use agile methodologies to encourage creative design thinking and find innovative ways to develop with cutting edge technologies. * Proven interpersonal skills while contributing to team effort by accomplishing related results as required **Preferred technical and professional experience** * Certification in Azure and Data Bricks or Cloudera Spark Certified developers