Senior Big Data Engineer

  • Boston, MA
  • Posted 20 days ago | Updated 7 days ago

Overview

Hybrid
$65 - $70
Contract - W2
Contract - 6 Month(s)
No Travel Required

Skills

BIG DATA
SCALA
SPARK
SQL
LAMBDA
GLUE
REDSHIFT
FINANCIAL
INVESTMENT

Job Details

Title: Senior Big Data Engineer

Location: Boston, MA (2-3 days onsite)

 

Advance your career with Mindlance! We have been connecting talented IT professionals with world-class companies since 1999. Mindlance is here to help you to find the perfect fit with just the right company. Currently, we are seeking a Senior Big Data Engineer for an exciting career growth Opportunity.

 

Make your next big career move with the kind of position that will allow you to be genuinely passionate about the work you do! Our recruiters will work closely with you to help you get the edge over the competition. Let Mindlance advocate for you apply today!

 

BIG DATA / SCALA / SPARK / SQL / LAMBDA / GLUE / REDSHIFT / FINANCIAL / INVESTMENT

Qualifications
  • At least 8 to 10 years of overall IT experience. 5+ years relevant experience in design and development complete end-end to design of enterprise-wide big data solution. 
  • Experience in designing & developing a big data solution using Spark, Scala, AWS Glue, Lambda is a must.
  • Strong Application development experience in Java/Scala/Python.
  • Strong Database SQL experience, preferably Redshift.
  • Experience in Financial Services, Investment Accounting functions highly preferred.
  • Familiarity with Investments Regularity requirements/reporting is a plus.
  • Advise on architectural decisions and design.
  • Participate in design workshops.
  • Create integration and application technical design documentation.
  • Conduct peer-reviews of functional design documentation
  • Provide guidance on intended solution and best practices during development, configuration, and testing phases.
  • Complete development, configuration, and unit testing of high complexity areas
  • Perform code reviews and ensure standards are applied to each solution component.
  • Resolve complex defects during testing phases.
  • Provide guidance to developers in resolving defects.
  • Support and execute performance testing.
  • Provides guidance on infrastructure and environment setup.
  • Production Support: Assist in troubleshooting production environment and tuning environments.
  • Ensures best practices are followed from a technical perspective during all phases of the project.

 

BIG DATA / SCALA / SPARK / SQL / LAMBDA / GLUE / REDSHIFT / FINANCIAL / INVESTMENT

 

Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.

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