High Salary: Senior Delivery Manager

6 days ago

Hyderabad, India Kanerika Software Private Limited Full time

Job Description Requirements What you'll bring - Bachelors / Master's degree (CSE or equivalent of Comp Sc) - 12+ years of experience in leading design and software delivery teams - Grown from the development ranks to Delivery (QA or other support roles that don't involve hands-on coding are excused). Technically deft in Java/.Net, DB (Any of, but not limited to SQL Server, CITUS, Mongo, Oracle), - Understand streaming Kafka (Or RabbitMQ/any other queuing/ messaging technology), CI / CD, and Automation, Selenium. - Hands-on experience working in Cloud environments like AWS/Azure/GCP - Awareness to basic concepts of data warehousing and AI/ML is must - Awareness to RPA is plus - Excellent understanding, and proven record of complex technology and business solutions in client-facing environment. - Client relationship management experience and managing multiple clients/projects - Experience in political and corporate customer environment, understand the power of persuasion, influencing and a high-level understanding of business processes related to various markets. Strong social skills, written and verbal. - Experience with Agile/Scrum and Project Management methodology (certification Scrum Master, PMP, IPMA, PRINCE2 is an advantage). - Enjoying working in a dynamic organization which is continuously transforming and enjoy enterprise visibility and industry. - Holds expert-level experience and uses professional concepts and company objectives to resolve complex issues in creative and effective ways. - Significant experience leading the Technical Delivery of Enterprise Data management projects. You will have an advantage if you bring - - Experience in Java, Microsoft Technologies, Oracle Apps, Or Informatica. - Fluency in big data platforms including Hadoop, MapReduce, Hive, Spark. - A strong understanding of data profiling and data cleansing techniques. - Experience in building and rolling out product COEs at enterprise customers. - Experience of working with complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. - Experience in running internal POCs from evaluation to successful exit criteria. Exercises judgment in methods, techniques, and evaluation criteria for obtaining results. - Expert level database, data management, data engineering or data management skills. - Published industry white papers, best practices, field guides, and external communications.

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