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Data Analytics Engineer Senior Job in Irving

Summary:

A Data and Analytics Engineer Senior is responsible for development, expansion and maintenance of data pipelines of the echo system. A Data and Analytics Engineer uses programming skills to develop, customize and manage integration tools, databases, warehouses, and analytical systems. The Data and Analytics Engineer Senior is responsible for implementation of optimal solutions to integrate, store, process and analyze huge data sets. This includes an understanding of methodology, specifications, programming, delivery, monitoring, and support standards. Individual must have extensive knowledge of designing and developing data pipelines and delivering advanced analytics, with open source Big Data processing frameworks such as Hadoop technologies. Individual must have proven competency in programming utilizing distributed computing principles. This role will support Data Management and Analytics objectives to deliver high quality, contemporary, best-in-class solutions across CHRISTUS Health.

Requirements:

• Bachelor degree in Computer Science, Engineering, Math or related field is required. 
• Software Development Life Cycle and process 
• Algorithm and Data Structure 
• Critical and analytical thinking skills 
• The candidate must also have had experience in large scale data lake data and data warehouse implementations and demonstrate proficiency in open source technology, for example, Python, Spark, Hive, HDFS, NiFi etc. 
• The candidate will additionally demonstrate substantial experience and a deep knowledge of data mining techniques, relational, and non-relational databases. 
• Experience with data integration with ETL techniques using Big Data processing frameworks such as Spark, MapReduce, HDFS, Python or R. 
• Experience with Big Data querying tools, such as Hive, and Impala. 
• Experience with building stream-processing systems, using solutions such as NiFi or Spark-Streaming is preferred. 
• Good understanding of Lambda Architecture 
• Advanced level of SQL programing techniques for Data Integration and Consumption using MPP and columnar databases. 
• Solid understanding of BI and analytics landscape, preferable in large-scale development environments. 
  
• Minimum eight (8) years of experience developing analytics solutions with large data sets within an OLAP, MPP and columnar architecture. 
• Minimum eight (8) years of experience with design, architecture and development of Enterprise scale platforms built on open source frameworks. 
  
• Certifications in Hadoop or Java are a plus.
  

Work Type:

Full Time