Sr. Big Data Engineer job at 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?

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