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.
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
Service Delivery
Batch scheduling and monitoring
ETL Development
SQL
