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Software Systems Engineer - III
Ref No.: 18-06274
Location: Irving, Texas
Position Type:Contract
Start Date / End Date: 05/14/2018 to 11/10/2018
  • Works on problems of moderate and varied complexity where analysis of data may require adaptation of standardized practices or precedent.
  • Acts independently to identify and select appropriate methodologies.
  • Work customarily and regularly (50% of time or more) requires the exercise of discretion and independent judgment.
  • Normally receives general instructions on non-routine work assignments.
  • Requires additional instructions and frequent guidance on new assignments. Decisions are made independently.
  • Assigned multiple tasks or projects are generally reviewed after completion.
  • Contact is typically coordinative in nature and involves exchanging detailed technical information. May deal with both internal and external contacts.
  • Demonstrates working knowledge in job-related functional area and of the business. Bachelor's degree, or equivalent.
  • 7-10 years of experience
 
 
Job Title: Data Engineer
 
Job Duties:
 
  • In order to achieve greater IT efficiency, speed, and innovation, Telecommunication recognizes that is introducing InnerSource, a peer production model for software product delivery that encourages collaboration across organizational, geographical, and temporal boundaries. Data engineering hierarchies to reveal and connect IT Workers by skill, merit, and reputation.
 
  • The Telecommunication InnerSource Program needs order for any normative initiative to succeed, we must measure and reward the behaviors we intend to standardize.
 
  • Create and maintain optimal data pipeline architecture,
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS 'big data' technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
  • Work with data and analytics experts to strive for greater functionality in our data systems.
 
 
Must have Skills:
 
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Experience building and optimizing 'big data' data pipelines, architectures and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • A successful history of manipulating, processing and extracting value from large disconnected datasets.
  • Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
  • Strong project management and organizational skills.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
 
 
Desired Skills:
 
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
  • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
 
 
Education:
 
  • We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
 
 
GitHub Profile:
 
  • All candidates MUST provide their public GitHub account with repositories that demonstrate Data Engineering competencies.
 
Ray Santos I rsantos@sunrisesys.com I Sunrise Systems Inc I 105 Fieldcrest Drive Suite 504 Edison, NJ 08837 I (732) 395-4426 I www.sunrisesys.com
 
You can also find me here!!! 
 
https://www.linkedin.com/in/rsantos4424