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Java ETL Developer
Ref No.: 17-03283
Location: New York, New York
Position Type:Contract
Pay Rate : $ 110.00 - 120.00 /Hour
Data Engineer is responsible for executing the growth strategy of the firm by expanding key data assets with both internal firm resources as well as external data. The candidate to be results-driven with a passion for transforming large disparate data sets into actionable information. This person will be an integral part of building a best-in-class data management and governance framework leveraging Big Data technologies. The ideal candidate will possess strong data mining and analytical skills, along with exceptional relationship management skills and commitment to delivering high quality solutions.

  • Effectively partner with the Data Insights team to drive usage and improvement of the IntelliStor data asset that drives analytics.
  • Develop Java code to handle large data sets including JSON, XML and CSV data
  • Write SQL functions to handle data transformations and processing requirements
  • Apply quality assurance best practices to all work products
Building Relationships and using Influence
  • Self-evident interpersonal skills
  • Recognizes nuances in reading others and leverages these to influence key stakeholders
  • Excellent communicator and listener who is able to present across all levels in the organization
Executing for Results
  • Possesses high levels of energy and endurance
  • Rigorously holds oneself and others accountable for achieving high levels of individual and organizational performance
  • Financial Services background or experience preferred across different LOBs. (Consumer, Commercial, Asset Management & CIB)
  • Proven proficiency with data and quantitative research techniques
  • Proficiency across the full range of database and business intelligence tools; publishing and presenting information in an engaging way
  • Intensive, recent experience in assessing and sourcing data needs
  • Detail oriented with a commitment to innovation
Business Acumen
  • Consistently evaluates decisions in terms of impact to the business
  • Uncovers hidden opportunities in disparate data and translates them into actionable information
  • Technical expertise regarding data management frameworks and ETL solutions
  • Technical expertise regarding data models and database design development
  • Experience with SQL, ETL frameworks and data visualization tools
Knowledge/Technical Skills
  • 5 years' Experience in Big Data technologies and utilities (Hadoop, Spark SQL, Hive, Impala, Pig, Kafka, Sqoop, HBase) is required.
  • 5 years' experience with MPP databases like Greenplum, Neteza is preferred. Ability to troubleshoot issues and develop functions in an MPP environment is highly desired.
  • 3 Experience utilizing and extending ETL solutions (e.g., Informatica, Talend, Pentaho, Ab Initio) in a complex, high-volume data environment is highly desired
Third Party Applications Not Accepted