Architect - Data Engineering - Irving

The Architect - Data Engineering role involves designing and developing large-scale, distributed big data solutions using Java and big data technologies, focusing on high-volume data processing and analytics. This position requires strong experience with Apache Spark, Scala, Cloudera Hadoop, and other data storage technologies. Collaboration with various teams is essential to deliver effective solutions.

Requirements

• Minimum 15+ years of experience in application development
• Strong hands-on experience in Apache Spark, Scala, and Spark SQL for distributed data processing
• Hands-on experience with Cloudera Hadoop (CDH) components such as HDFS, Hive, Impala, HBase, Kafka, and Sqoop
• Familiarity with other Big Data technologies, including Apache Kafka, Flume, Oozie, and Nifi
• Experience building and optimizing ETL pipelines using Spark
• Experience with SQL and NoSQL databases such as HBase, Hive, and PostgreSQL
• Knowledge of data warehousing concepts, dimensional modeling, and data lakes
• Ability to troubleshoot and optimize Spark and Cloudera platform performance
• Familiarity with version control tools like Git and CI/CD tools (e.g., Jenkins, GitLab)
• Experience with data modeling and dimensional modeling

Benefits

• Medical, vision, and dental benefits
• 401k retirement plan
• Variable pay/incentives
• Paid time off
• Paid holidays