Job ID: TX-302CSD2114 (911290422)
Big Data Engineer / Data Scientist with data streaming, messaging, Kafka, MQ, RabbitMQ, Elk, Elasticsearch, Python/Java/Scala, ELT, AWS/Azure, KStreams, KSQL, DW, Qlick, SAS Viya, Kibana, Snowflake, Qualtrics, Spirion, PostgreSQL, Vertica and Redshift experience
Location: Austin,TX (OAG)
Duration: 4 months
Skills:
Minimum Requirements:
YearsRequired/PreferredExperience
6RequiredExperience in large-scale IT Project/Product delivery with at least 2 years of work experience in current data streaming, messaging, management, and database technologies
6RequiredAbility to establish and always maintain effective and professional working relationships with others in the course and scope of conducting business
6RequiredExcellent communication, problem-solving, and organizational skills
4PreferredStrong data integrity, analytical, and multitasking skills
4PreferredGraduation from an accredited four-year college or university with major coursework in Computer Science or Engineering
2PreferredExperience with designing and building data platforms and setting up data tools
2PreferredExperience with streaming/messaging platforms (Kafka, MQ, RabbitMQ, Elk, Elasticsearch)
2PreferredExperience in tuning and troubleshooting streaming/messaging platforms
2PreferredExperience creating producer and consumer applications with Kafka
2PreferredExperience coding and scripting (Python, Java, Scala) and design experience
2PreferredExperience with ELT methodologies and tools
2PreferredHands-on experience with AWS and/or Azure
2PreferredExperience with KStreams and KSQL
2PreferredExperience with designing and automating build and deployment solutions/process for data solutions/tools/platforms
2PreferredFamiliarity with data management, visualization, warehouse, and analytics tools/platforms such as Qlick, SAS Viya, Kibana, Snowflake, Qualtrics, and Spirion
1PreferredBasic knowledge of database technologies (PostgreSQL, Vertica, Redshift, etc.)
1PreferredAble to work independently
Working as part of the Platform & Infrastructure Data Engineering team to engineer, install, configure, standardize, and automate best in class data services and capabilities in a secure fashion for the organization. The ideal Advanced Data Engineer is a collaborative leader skilled in designing and constructing highly scalable data management systems. You are committed to data automation and integrity, are highly analytical, and can work on multiple projects at once. You will use your skills to engineer, automate, and manage data systems across multiple cloud services platforms and toolsets. Additionally, you will act as a mentor to junior team members and coach them on best practices and engineering standards. The team culture of working collaboratively, cross-functionally, using new technologies combined with the work/life balance provided by Texas OAG are core reasons people enjoy working as part of the Data Division