Big Data Support Engineer - Singapore - SOFTENGER (SINGAPORE) PTE. LTD.

SOFTENGER (SINGAPORE) PTE. LTD. Singapore

2 days ago

Description

Roles & Responsibilities

Roles/Responsibilities:

The candidate should have good communication skills.

Should have good Application production support experience in data platform : Big Data / Data warehousing (experience in Teradata , ETL ) , Unix, SQl, shell scripting.

Should be able to manage/guide team technically and should able to communicate with different stake holders.

- 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.

Requirements:

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

Tell employers what skills you have

Teradata
Scala
Kubernetes
Big Data
Hadoop
Shell Scripting
ETL
Unix
Spark
SQL
Python
Apache Kafka
Hive
Java

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