Big Data/Event Streaming Engineer
Job Role Responsibilities Work with business and technical teams to provide technical support and development ability for overall big data pipeline using Nifi and Kafka, Hadoop Spark workflows, Hadoop Tables and implement data models in Data Science & Analytics portfolio. Primary Job Functions: Develop or enhance Nifi, Kafka and Spark flows for processing of structured and unstructured data. Develop or enhance Hadoop workflows including data ingestion, extraction and processing of structured and unstructured data. Engage in proof of concepts, technical demos and interaction with customers and other technical teams Proactively automate monitoring, alerting based on workflow needs Work to utilize common CI/CD best practices across different teams (data scientists, data visualization analysts, web developers etc.) when working on the same project Ensure solution compliance to technical design standards and architecture Explore and develop skills in newer technologies according to big data technology roadmap Job responsibilities Min Bachelor's degree from a recognized university in Computer Science or equivalent; min GPA - 6.5 (out of 10.0) 3-5 yrs of background working with Hadoop Applicants must have the following skills: Applied Background with Spark Applied Background with Kafka Applied Background with Scala and/or Python Applied Background with NiFi Applied Background with Solr Background with Oozie Background with the Cloudera Data Platform (CDP) Background with Flink-SQL Familiarity with Azure DevOps (nice to have, but not required) Familiarity with SQL (nice to have, but not required) Familiarity using Git (nice to have, but not required) Background in UNIX or UNIX-like systems Background with SCRUM or other similar Agile framework Soft Skills: Excellent verbal and writing expertise Self-starter and independent worker Strong problem resolution skills Ability to work with data scientists and develop seamless workflows Ability to interface with customers, technology partners, testing, architecture and analysis groups Applicants will be given preference for having the following skills: Contributions to open-source big data projects (please provide link to repos) ExxonMobil does not use recruiting or placement agencies that charge applicants an advance fee of any kind (e.g., placement charges, immigration processing charges, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil.
January 10 on ExxonMobil