Big Data Engineer


Denver, CO

Industry: Manufacturing


11 - 15 years

Posted 167 days ago

This job is no longer available.

Big Data Engineer

Fulltime / Permanent Position

Location: Dallas, TX and NATIONWIDE


*        Perform data engineering, data modeling, and implementation of Big Data platform and analytic applications

*        Analyze latest Big Data Analytic technologies and their innovative applications in both business intelligence analysis and new service offerings; bring these insights and best practices

*        Develop highly scalable and extensible Big Data platforms which enable collection, storage, modeling, and analysis of massive data sets including those from IoT and streaming data

*        Construct big data pipelines, both real-time and batch

*        Implement data access and processing frameworks.

*        Support data users, data scientists, and analytic applications

Technical Experience

*        Cloud platform technologies such as Microsoft Azure, Amazon Web Services and Google Cloud.

o Hadoop distributions such as Cloudera, Hortonworks

o Big Data Analytic frameworks and query tools such as Spark, Storm, Hive, HBase, Impala, Hue

o Streaming data tools and techniques such as Kafka, AWS Kinesis, Microsoft Streaming Analytics, StreamSets, StreamAnalytixs

*        ETL (Extract-Transform-Load) tools such as Pentaho, Talend, Informatica); also experience with ELT

*        Infrastructure setup using things like Kubernetes, Docker

*        Continuous Integration and Continuous Development (CI/CD)

o Data Warehouse and DataMart design and implementation

o NoSQL environments such as MongoDB, Cassandra

o Metadata management, data lineage, data governance, especially as related to Big Data

o Structured, Unstructured, Semi-Structured Data techniques and processes

Minimum Requirements

*             Over 10 years of engineering and/or software development experience and demonstrable experience in a large organization.

*             Experience should contain 5+ years of experience of data engineering (ETL and Big Data) pipelines, both real-time and batch

*             5+ years of consulting experiencedesired

*             3+ years of hands-on experience developing in Big Data Components/Frameworks including: Hadoop/HDFS, Spark, Storm, HBase, Pig, Hive, Scala, Kafka, PyScripts, Unix Shell scripts

*             3+ years of hands-on experience configuring and implementing solutions on cloud platforms such as Azure, AWS, or Google Cloud.

*             Experience with Continuous Integration / Continuous Development

*             Experience in implementation of large and highly complex projects

*             History of working successfully with cross-functional engineering teams

*             5+ years experience in one of the following business domains: Manufacturing, Cable/Telecom, Finance and Supply Chain

Demonstrated ability to communicate highly technical concepts in business terms

$90K - $100K