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Data Engineer Consultant
Ref No.: 18-03040
Location: Newark, New Jersey
Start Date / End Date: 07/02/2018 to 12/28/2018
Role: Data Engineer
Location: Newark, NJ

Job Description:
CLIENT is seeking a highly talented Data Engineer (DE) within the Data Engineering group. We need your help to build systems to enable data-driven decision making at CLIENT.

Our Data Engineering team owns and develops the technology platform that offers decision makers both performance metrics and analysis as well as the self-service capability to perform independent analysis on a wide array of internal and external datasets in order to identify opportunities, trends and issues, uncover new insights, and fine-tune operations to meet business goals.

Responsibilities:
  • Build and maintain the infrastructure to answer questions with data, using software engineering best practices, data management fundamentals, data storage principles, recent advances in distributed systems, and operational excellence best practices.
  • Work closely with stakeholders to understand their requirements and design the right solution
  • Work closely with other teams, analyze source systems, define underlying data sources and transformation requirements, design suitable data models and document the design/specifications.
  • Build/maintain systems and datasets that analysts and scientists use to generate actionable insights.
  • Demonstrate passion for quality and productivity by use of efficient development techniques, standards and guidelines
  • Peer reviews of work. Actively mentor more junior members of the team, improving their skills, their knowledge of our systems and their ability to get things done

Basic qualifications:
  • Strong Computer science background required. A Bachelor's degree or higher in computer science or equivalent is required
  • 10+ years of experience in a Data Warehouse (DWH) environment with data integration/ETL of large and complex data sets
  • Design and coding skills in a scripting language (e.g. Python/Perl/shell scripting) on Unix/Linux Platforms.
  • Proficiency in SQL and database technologies such as AWS Redshift
  • Data modeling skills such as Star/Snowflake schema design for DWH
  • Expertise in performance tuning and scaling in a DWH environment
  • Hands on experience with recent advances in distributed computing such as MapReduce, MPP architectures, NoSQL databases.
  • Familiarity with Business Intelligence (BI) platforms such as MicroStrategy, OBIEE or equivalent
  • Good interpersonal and communication skills. Ability to work with different teams for sourcing of data.
  • Ability to learn fast, work independently with little supervision and deliver on time quality products

Preferred qualifications:
  • Extensive knowledge of BI platforms such as MicroStrategy, OBIEE or equivalent
  • Experience working with Agile methodologies in a DWH/BI environment