Bachelor's degree in computer science, mathematics, or engineering
5+ years of platform administration experience in hybrid cloud environments (Azure data/analytics platforms, Informatica, BI administration, and applications)
Build, configure, administer, and deploy the client's DSO data analytics tools and platforms to support data strategy initiatives and enable development teams to build data analytic applications in hybrid cloud environments
Collaborate with cross-functional teams (infrastructure, cloud engineering, TEO, data and enterprise architects) to configure, tune, integrate, and optimize platforms to meet functional and technical requirements, with emphasis on security, quality, and performance
Work in an agile team, provide scrum status updates, troubleshoot performance issues, and ensure production readiness and compliance before deployments; coordinate with security and risk for deployments in distributed platforms
Drive innovation and roadmaps to improve efficiencies, agility, performance, and stability of big data and cloud platforms; optimize data pipelines with automation and DevOps/CI-CD practices; participate in daily project and production delivery status meetings
Responsible for building, configuring, administering, and deploying client's DSO data & analytics tools and platforms to support the data strategy initiatives. These platforms will support development teams to build data & analytic applications for parsing, analyzing, discovering, and visualizing the potential business insights in the hybrid cloud environments. Works with various cross functional teams such as infrastructure, cloud engineering, TEO, data and enterprise architects to configure, tune, integrate, optimize the platform to meet functional and technical requirements. A strong affinity to appreciate and enforce the security and policies, as well as attention to quality and performance are integral parts of the job function. Works in an agile team, provide statuses in scrum meetings, can trouble shoot performance issues, work closely with security and risk to deploy applications in distributed platforms. Ensures the design, code, and procedural aspects of solution are production ready, in terms of operational, security and compliance standards before deployments are done in higher environments. Applies innovation, problem solving and best practices to create and execute road maps that improve efficiencies, agility, performance, and stability, of big data and cloud platforms. Continually optimize the data pipe with automation, and tools with the latest DevOps and Agile methodologies to improve cycle times, consistency, and quality. Participates in day-to-day project and production delivery status meetings and provide technical support for faster resolution of issues.
Bachelor's degree in computer science, Mathematics, or Engineering
5+ years of platform administration experience in different hybrid cloud environments – Azure data and analytics platforms, Informatica, BI administration, Application admins
Azure Platform Experience (MUST HAVE)
Databricks platform management experience( MUST HAVE)
Azure Data Factory management experience (MUST HAVE)
3+ years of hands-on experience as a Platform Engineer in a Big Data environment (Spark, Python, Linux, Database management)
2+ design and implementation experience with large scale data environments
Professional training and certifications in various cloud data solutions (Preferred).
Deep hands-on experience with administering complex hybrid cloud applications
1+ years of development and operations experience with Elasticsearch and Kibana.
Informatica MDM, DQ, ETL architecture experience is a plus
Hands on experience with building, optimizing the data pipe – CI/CD, DevOps, integrated - build and deployment automation, configuration management, test automation solutions.
