Data Engineer

Role Summary Karthik Consulting is seeking a talented and driven Data Engineer to join its enterprise data and cloud engineering team Role Overview The Data Engineer will configure and administer enterprise-level data stores, design and maintain ETL/ELT pipelines, and support batch and streaming data transport across the organization's data platforms. This role focuses on building reliable, secure data infrastructure and integrations that support enterprise reporting and analytics needs. Technical Scope The engineer will leverage Azure Data Factory, Databricks, Oracle, SQL Server, and Azure Database services to build and sustain enterprise data pipelines, partnering with program and project teams using Azure DevOps and GitHub within an agile delivery model to support Azure Cloud migration efforts. Key Responsibilities Required Skills Minimum of five (5) years of professional experience configuring and administering enterprise-level data stores, ETL/ELT methods, and batch and streaming data transport, including API development. Hands-on understanding of data technologies to include, but not limited to, Azure Data Factory, Databricks, Oracle, SQL Server, and Azure Database services. Proficiency working within an enterprise data management infrastructure, including Azure Cloud and cloud migration efforts. Experience utilizing program and project management tools, such as Azure DevOps and GitHub, to plan, execute, and measure projects. Proficiency in agile development methodologies with demonstrated experience working on agile projects. Preferred Skills & Experience Experience working with CI/CD pipelines and GitHub. Experience developing and executing action plans to ensure security compliance and to respond to findings if they occur. Certifications for Azure (AZ-900, DP-900, DP-203) Certifications for Databricks (Data Engineer Associate) Key Responsibilities Configure and administer enterprise-level data stores supporting ETL/ELT methods and batch and streaming data transport. Design, develop, and maintain APIs to support enterprise data integration needs. Leverage Azure Data Factory, Databricks, Oracle, SQL Server, and Azure Database services to build and manage enterprise data pipelines. Support enterprise data management infrastructure, including Azure Cloud environments and cloud migration initiatives. Utilize Azure DevOps and GitHub to plan, execute, and measure project deliverables. Participate in agile development processes, contributing to sprint planning, execution, and delivery. Develop and execute action plans to maintain security compliance and respond promptly to findings. Qualifications Education Minimum Requirement: Bachelor's degree from an accredited college or university in Computer Science, Engineering, or an applicable technical field. Core Competencies & Traits Strong analytical and problem-solving skills applied to enterprise data infrastructure and cloud environments. Clear, proactive communication and cross-functional collaboration within agile project teams. Commitment to continuous improvement, security compliance, and staying current with evolving data engineering and cloud practices. #J-18808-Ljbffr