Data Support Engineer

  • Sector: LMA Asia Technology
  • Contact: Madhavi Talupula
  • Client: LMA
  • Location: Singapore
  • Salary: S$8500 - S$9500 per month
  • Expiry Date: 18 April 2024
  • Job Ref: BBBH439377_1710826481

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
  • Knowledge of Troubleshooting Core Java, Python, Scala spark batch, API and streaming applications
  • Support data APIs, data science ML applications running on Kubernetes platform

Company Reg No.: 201131609D | License No.: 11C4684 | Madhavi Talupula