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 a Data Engineer at IBM, you will interact with government stakeholders and teaming partners to gather requirements and propose analytic solutions. You will work with Octo business analysts and government stakeholders to understand requirements and compile structured and unstructured data ensuring its quality, accuracy, and reasonableness. You have a passion for detail and are an excellent communicator. You are agile and curious and not afraid to identify what we are doing wrong so we can fix it, and what we are doing right so we can improve on it. Required Technical and Professional Expertise
• Experience ingesting large datasets data so that they can accurately report findings to internal and external customers. (5-10 Years)
• Proven experience as a Data Engineer with a focus on Microsoft Azure technologies. (5-10 Years
• In-depth knowledge of Azure services such as Azure Synapse Analytics, Azure SQL Database, Azure Data Factory, Azure Databricks etc. (5-10 Years)
• Proficiency in programming languages like Python, SQL, and knowledge of data manipulation tools. (5-10 Years)
• Must be a US Citizen and able to obtain Public Trust security clearance. Preferred Technical and Professional Expertise
• Experience in using various Azure data services, such as Azure SQL Database, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage. (5-10 Years)
• Expertise in handling diverse file structures, including Avro, JSON, ORC, Parquet, Feather, and delimited formats, showcasing the ability to navigate and manipulate data effectively across various Azure platforms and big data processing frameworks. (5-10 Years)
• Experience working with Oracle & Informatica. (5-10 Years)
• Experience working with SQL Queries and Power Apps (5-10 Years)
• Experience with Dashboard creation in ArcGIS, PowerBI, and Tableau. (5-10 Years)
• Experience with JIRA and Confluence (5-10 Years)