Requirements
What you'll bring
- Bachelors / Master's degree (CSE or equivalent of Comp Sc)
- 6+ 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.Skills Required
Hadoop, Mapreduce, Hive, Scrum Master, Pmp, Aws