Big Data Engineer

Cardinal Integrated Technologies, Inc.

$100K — $150K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • MS or PhD in Computer Science, Applied Mathematics, Physics, Statistics, or related field (desired)
  • 2+ years of experience with Hadoop and NoSQL technologies
  • 2+ years building applications and managing large datasets
  • 2+ years developing complex MapReduce programs
  • 2+ years of experience translating data needs into Big Data solutions
  • Experience with Hive data access and related technologies
  • Collaborative personality with experience in interactive discussions with data scientists and industry experts

Responsibilities

  • Develop high-performance distributed computing tasks using Big Data technologies
  • Analyze, design, program, debug, and modify software enhancements for large scale analytics solutions
  • Engage with data scientists to understand data conversion and presentation needs
  • Write, test, and debug software code for various applications
  • Provide insights into consumer behaviors to enhance customer experience
  • Build Big Data solutions and manage data loading processes
  • Collaborate with a small team to maximize the potential of Big Data resources

Benefits

  • Collaborative work environment
  • Opportunity to work with advanced Big Data technologies
  • Engagement with industry experts and data scientists
  • Focus on customer experience improvements
  • Possibility for professional growth and development in a tech organization
Full Job Description
Big Data Engineer
Participate as a member of a small team to release the full potential of Big Data in AT&T through a combination of platform technology, collective human intelligence and the vast data resources available to our company. Will provide rich insight into consumer behaviors, preferences and experiences in order to improve the customer experience across a broad range of vertical market. Development of high performance, distributed computing tasks using Big Data technologies such as Hadoop, NoSQL, text mining and other distributed environment technologies based on the needs of the Big Data organization. Use Big Data programming languages and technology, write code, complete programming and documentation, and perform testing and debugging of various applications. Analyze, design, program, debug and modify software enhancements and/or new products used in distributed, large scale analytics solutions. Interacts with data scientists and industry experts to understand how data needs to be converted, loaded and presented. Provide rich insight into consumer behaviors, preferences and experiences in order to improve the customer experience across a broad range of vertical market. MS degree or PhD degree (DESIRED) in Computer Science, Applied Mathematics, Physics, Statistics or area of study related to data sciences and data mining

Big Data
Application architecture - definition - Business Process Modeling
and 2 years
Application - software development and design
and 3 years
Collaborarive personality - engage in interactive discussions
Experience with large data sets to build programs that leveral parallel capabilityies of Hadoop - MP
and 3 years
Inquisitive on Big Data Technology
Large data sets to build programs that leveral parallel capabilityies of Hadoop - MPP platforms
and 3 years
Write software accessing Hive Data
and 3 years
Nice to Have
Big Data
Bachelor Degree
Yes
Build Big Data solutions using Hadoop and or NoSQL technology
and 2 years
Develop complex MapReduce programs with structured or unstructured data
and 2 years
Load data to Hive
and 2 years
Lod data to Hadoop environments using MapReduce - Sqoop - Flume
and 2 years
PhD
Yes
Translate data needs into Big Data solutions
and 2 years
Developer
Columnar DB solutions Vertica - Cassandra - Greenplum for Data Management
and 2 years
Hortonworks Hadoop distribution components and custom packages
and 2 years
PIG scripting to manage data
and 2 years
IT Support
Project Management
and 2 years

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