The Data Engineer will build massive reservoirs for big data. He will develop, construct, test and maintain architectures such as databases and large-scale data processing systems. Once continuous pipelines are installed to – and from – these huge “pools” of filtered information, data scientists and business stakeholders can pull relevant data sets for their analyses.

More specifically, you will:

• Work with business and cross functional teams on full life-cycle of data warehouse development projects – 10% of time spent
• Play an essential role in gathering requirements from business units and translating them to ETL (extract, transform and load) design documents - 10% of time spent
• Work with other Data Engineering team members in designing, developing, coding, and testing Extract Transform and Load (ETL) solutions - 12% of time spent
• Work with the project management team regarding the timelines, planning and the level of effort for the projects and work orders - 5% of time spent
• Provide production support, resolve production issues, and participate in Agile product development process as a member of the Data Engineering team - 15% of time spent
• Oversee data warehouse in Redshift, as well as configure and maintain reports in Tableau - 6% of time spent
• Will perform data analysis using SQL programming language and build data warehouses using ETL tools such as Talend Big Data Module - 6% of time spent
• Extract, translate, and load data using Talend and Informatica, and deliver appropriate BI (business intelligence), data warehousing, reporting, and analytical infrastructure required to support the Petitioner’s assets - 12% of time spent
• Coding in ETL tools using Talend, SQL coding, and coding with C# - 12% of time spent

• Utilize SQL server components such as SSIS and Stored Procedures, and use Tableau or other BI tool, including Microstrategy, Power BI and Redash to create queries - 12% of time spent

Minimum Education Requirements: a minimum of a Master’s degree in Computer Science or a related field.