Service Delivery Center Hadoop Senior Developer - Financial Services Organization - AI and Data
EYAbout the role
Service Delivery Center Hadoop Senior Developer – Financial Services Organization – AI and Data
EY is the only professional services firm with a separate business unit (“FSO”) that is dedicated to the financial services marketplace. Our FSO teams have been at the forefront of every event that has reshaped and redefined the financial services industry. This practice also has several Service Delivery Centers that are made up of high-performing US-based resources who work closely with our experienced client serving professionals to deliver project-based work and managed services to our US-based Financial Services clients. If you have a passion for rallying together to solve the most complex challenges in the financial services industry, come join our dynamic FSO team!
The opportunity
Hadoop Sr. Developer able to work in one or more than one projects in the Hadoop data lake, including technical deliverables as per business needs.
Your key responsibilities
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
Skills and attributes for success
- Sound understanding and experience with Hadoopecosystem (Cloudera). Able to understand and explore the constantly evolving tools within Hadoop ecosystem and apply them appropriately to the relevant problems at hand.
- Experience in working with a Big Data implementation in production environment
- Experience in HDFS, Map Reduce, Hive, impala, Linux/Unix technologies is mandatory
- Experience in Kafka/spark
- Able to analyze the existing shell scripts/python/scala code to debug any issues or enhance the code
- Experience working in a Cloud environment as a developer/Lead is an added advantage
- Sound knowledge of relational databases (SQL) and experience with large SQL based systems.
- Strong IT consulting experience in various data warehousing engagement, handling large data volumes, architecting big data environments.
- Deep understanding of algorithms, data structures, performance optimization techniques and software development in a team environment.
- Benchmark and debug critical issues with algorithms and software as they arise.
- Work with line of business (LOB) personnel, external vendors, and internal Data Services team to develop system specifications in compliance with corporate standards for architecture adherence and performance guidelines.
- Support multiple projects with competing deadlines
To qualify for the role you must have
- Bachelor's degree in a technical or business-related field, or equivalent education and related training
- Seven years of experience in data warehousing architectural approaches and minimum 4 years in big data (Cloudera)
- Exposure to and strong working knowledge of distributed systems
- Excellent understanding of client-service models and customer orientation in service delivery
- Ability to grasp the 'big picture' for a solution by considering all potential options in impacted area
- Aptitude to understand and adapt to newer technologies
- Assist in the evaluation of new solutions for integration into the Hadoop Roadmap/Strategy
- The desire to learn new soft and technology skills and the desire to coach, mentor and train peers throughout the organization
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