Job Description

Big Data Engineer - AWS
Job Number: 20-07638
 
Find your next opportunity in Financial Services! Eclaro is looking for a Big Data Engineer - AWS for our client in Herndon, VA.
 
Eclaro’s client is a leading housing lender, providing financing for private and commercial for many Americans. If you’re up to the challenge, then take a chance at this rewarding opportunity!
 
Position Overview:
  • Use modern tools, techniques, and methods to develop, modify, or update applications used by business units or infrastructure units.
  • Lead, or play lead technical role in development teams' efforts to determine unit needs and business processes that are automated by the application.
  • Participate in or review all of the steps in the software development life cycle to create and modify the software.
 
Responsibilities:
  • Key Job Functions:
    • Work with product owners and other development team members to determine new features and user stories needed in new/revised applications or large/complex development projects.
    • Create or Update documentation in support of development efforts.
    • Documents may include detailed specifications, implementation guides, architecture diagrams or design documents.
    • Participate in code reviews with peers and managers to ensure that each increment adheres to original vision as described in the user story and all standard resource libraries and architecture patterns as appropriate.
    • Respond to trouble/support calls for applications in production in order to make quick repair to keep application in production.
    • Serve as a technical lead for an Agile team and actively participate in all Agile ceremonies.
    • Participate in all team ceremonies including planning, grooming, product demonstration and team retrospectives.
    • Mentor less experienced technical staff; may use high-end development tools to assist or facilitate development process.
    • Leverage Client DevOps tool stack to build, inspect, deploy, test and promote new or updated features.
    • Set up and configure a continuous integration environment.
 
Required Qualifications:
  • 4-6 years of related experience;
  • Experienced with Agile practices/ methodologies (e.g. Scrum, TDD, BDD, etc.).
  • Bachelor Degree or Equivalent
  • Advanced proficiency in unit testing as well as coding in 1-2 languages (e.g. Java, etc.).
  • Advanced proficiency in Object Oriented Design (OOD) and analysis.
  • Advanced proficiency in application of analysis/design engineering functions.
  • Advanced proficiency in application of non-functional software qualities such as resiliency, maintainability, etc.
  • Advanced proficiency in advanced behavior-driven testing techniques.
  • 2+ years with Big Data Hadoop cluster (HDFS, Yarn, Hive, MapReduce frameworks), Spark
  • 2+ years of recent experience with building and deploying applications in AWS (S3, Hive, Glue, EMR, AWS Batch, Dynamo DB, Redshift, Cloudwatch, RDS, Lambda, SNS, SQS etc.)
  • 4+ years of Java/Python, SQL, SparkSQL, PySpark
  • Excellent problem-solving skills, strong verbal & written communication skills
  • Ability to work independently as well as part of a team
 
Preferred Qualifications:
  • Desired Skills:
    • Knowledge of Spark streaming technologies, Graph Database will be a nice to have
    • Familiar with Hadoop information architecture, data modeling, machine learning, Talend
    • Knowledge of Financial Products, Risk Management, Portfolio Management is preferred but not mandatory.
    • Area of Study: Business or Computer Science
    • Certifications: Specialized training in specific platforms, enterprise
 
If interested, you may contact:
Merly Villanueva           
merly.villanueva@eclaro.com
6467559379

Merly Villanueva | LinkedIn
 
Equal Opportunity Employer: Eclaro values diversity and does not discriminate based on Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status. 

Application Instructions

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