Rarefied talent in data science, data technology, and analytics

Sr. Big Data Engineer

Think Finance

Job Description

General Summary:

Think Finance is a global technology firm that develops next generation financial products.  A big part of our continued success will be gaining much better customer insights through a wide variety of structured and unstructured data sources, aka “Big Data”.  The Big Data Engineer will play a critical role in architecting, developing and integrating the systems that will provide the backbone for this capability.

Principal Duties and Responsibilities:

  • You are comfortable working with a highly skilled analytics team. You will be building data processing solutions to services the groups’ analytical needs and objectives, and must be prepared to not back down from challenging requests.
  • You have experience in being a primary driver that shapes the analytical environments to be used in critical initiatives and enjoy being tasked with tough assignments.
  • You are comfortable with working with a “blank slate”.
  • You must be comfortable working with cutting edge big data management platforms and utilities like, Hive, Pig, Flume, Cloudera, Hortonworks, Greenplum etc.
  • You will be required to be curious and innovative.  Problems to you are not unsolvable, they just need to be looked and explored differently. 
  • You are a firm believer in automation.
  • You are comfortable working with Terabytes of information, coming from a large number of diverse sources, in various formats.
  • You are comfortable with Agile SDLC processes, including migration from development to production.

Experience and Education:

  • BS/MS in Computer Science or related degree
  • Minimum of 6 years systems development and implementation experience
  • Minimum of 2 years of hands-on experience with programming on high-scale or distributed systems (such as Hadoop)
  • Hands-on experience with the Hadoop stack (e.g. MapReduce, Sqoop, Pig, Hive, Hbase, Flume)
  • Hands-on experience with related/complementary open source software platforms and languages (e.g. Java, Linux, Apache, MySQL, Python)
  • Hands-on experience with ETL (Extract-Transform-Load) tools (e.g Informatica,  Talend, Pentaho)
  • Hands-on experience with BI tools and reporting software (e.g. Microstrategy, Cognos, Pentaho)
  • Hands-on experience with analytical tools, languages, or libraries (e.g. SAS, SPSS, R, Mahout)
  • Hands-on experience with commercial and open source SQL databases, including in-memory variants.
  • Hands-on experience with NoSQL databases (e.g. Neo4j, MogoDB, Cassandra, Redis)
  • Experience developing capacity plans for new and existing systems

Required Skills, Abilities, Soft Skill Factors:

  • Creative and strategic thinker with the ability to influence, build trusted relationships across the institution, deal constructively with conflict, and adapt to a fast-paced environment involving multiple and simultaneous issues
  • Solid analytical and problem solving skills - Ability to analyze trends, investigate issues, and suggest solutions to challenges 
  • Takes the initiative to get things done under aggressive timelines
  • Works effectively in the faces of stress, ambiguity, difficult situations and shifting priorities
  • Challenges the status quo thinking to generate new ideas; takes open minded approach to situations
  • Refined written and verbal communication skills -  Ability to foster open communications, listen effectively, and tailor message to multiple audiences
  • Extensive knowledge of SAS/SQL and other risk management technology with the ability to leverage such tools to improve the organization’s decision making criteria
  • Ability to demonstrate good judgment and professionalism on cross platform projects with short deadlines 
Interested in this position?
Job Location
San Diego, CA
Additional Job Details
Employment Type:
Full Time