Location - Singapore

Team/ Competency - Production Support

Core Skillsets - Service Delivery, Batch scheduling and monitoring, ETL Development, SQL

High Level Job Scope - Production Support

Job Description

Big Data Support Engineer

Skillset

• Up to 9 years of IT experience & 5+ Years on Hadoop and K8s Eco Systems

• Last 3 years of relevant experience in banking/financial services industry

• Demonstrable analytical skills with deep knowledge of Big Data Ecosystem in a Production Support Environment.

• Hands On Experience within the Hadoop Tool Sets Hive, Hue, Spark, Kafka, Kudu, Flink, Ozone, Kafka, and Streaming.

• Strong SQL, Python, Java and Unix shell scripting

• Incident, problem, and service Outage management experience is Plus.

• Good Communication and Articulation Skills

Roles/Responsibilities

• Strong in data engineering concepts and programming

• Experience in building and optimizing ‘big data’ data pipelines, architectures, and data sets.

Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

• Strong analytic skills related to working with unstructured datasets.

• Experience in supporting data transformation, data structures, metadata, dependency and workload management.

• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.

• Provide operational support and ensure SLI of Applications

• Troubleshoot Batch Issues & root causes to Mitigate Impacts to SLA

• Proactively Identify and Identify opportunities for preventive Maintenance

• Perform Administration & Optimization to achieve of Optimal System Performance

• Conduct review of technical and functional solutions from enhancement/project team to ensure they conform to Established Standards

• Recommend Design and Operational Optimizations

• Respond on time to the queries raised by various business units

• Provide Timely updates (Status, Progress, Issues, Resolutions) to Business Stakeholders

• Work with Project/Enhancement Teams to Review, Transition for Run Team

• Participate in Disaster Recovery and Business Continuity exercises

• Support relevant software/platform/database upgrade for the systems Data Platform Support Engineer

• Knowledge of Troubleshooting Core Java, Python, Scala spark batch, API and streaming applications

• Support data APIs, data science ML applications running on Kubernetes platform