Overview As an AWS Data Engineer, you will design, implement, and deploy cloud-based data platforms to support business needs for capgemini/vanguard client engagements. You will work within a cross-functional team to translate requirements into scalable data solutions and continuously improve performance. The role focuses on building and operating data processing pipelines in AWS, leveraging modern tools to drive insights. This is a hands-on opportunity to shape cloud data architecture and tooling in a client-facing setting. ResponsibilitiesLearn and experiment with new technologies, tools, and processesUnderstand client business functions and requirementsDetermine appropriate technical tools to meet business needsDesign, implement, and deploy cloud platforms to support business needsIdentify, recommend, and implement performance improvements and issue solutions Key requirementsAWS GlueStep FunctionsIAMS3CloudWatchCloudFormationLambdaSagemakerPythonPySparkBambooBitbucketSQLExperience building Spark data processing applications (Python, PySpark)Experience with SQL development and Tableau ReportingExperience building Splunk dashboardsExperience with test automation and test-driven development practicesExperience with CI/CD pipeline tools like Bamboo, BitbucketAWS servicesPythonPySparkSQLTableauSplunk
Not specified in the original listing.
Not specified in the original listing.
