Sr. Data Engineer

We are seeking a Data Engineer for a 6-11 month contract role with a leading client in Seattle, WA.

In this role, the Data Engineer will join an Operations Finance Technology Team to work on very large data sets in one of the World’s largest and most complex data warehouse environments.

They will work closely with the business teams in performing analysis on various cost savings initiatives, many non-standard and unique business problems and use creative-problem solving to deliver actionable output.

The Data Engineer will be responsible for designing and implementing an analytical environment using third-party and in-house reporting tools, modeling metadata, building reports and dashboards.

They will have an opportunity to work with leading edge technologies like Redshift, HadoopHive and Pig.

They will be writing scalable queries and tuning performance on queries running over billion of rows of data.

The Data Engineer should be analytical, have an extremely high level of customer focus and a passion for process improvement.

They should be a motivated self-starter that can work independently in a fast paced, ambiguous environment.

They should have excellent business and communication skills to be able to work with business owners to develop and define key business questions.

REQUIRED SKILLS Bachelor’s degree in Computer Science or related field 5 years’ relevant experience 5 years’ experience with SQL, SQL Tuning, Oracle, OLAP, Big Data Technologies 5 years’ experience developing end-to-end Business Intelligence solutions data modeling, ETL and reporting Experience with Java and experience with scripting languages like Perl, Python, Unix shell scripts,VBA and MS Excel Proficiency with Linux and systems administration Proven ability at looking at solutions in unconventional ways.

Sees opportunities to innovate and can lead the way.

Top notch communication (verbal and written) and interpersonal skills to convey key insights from complex analysis in summarized business terms and an ability to effectively communicate with technical teams.

Ability to work with shifting deadlines in a fast paced environment.

PREFERRED SKILLS Masters in Computer Science or related field Practical Knowledge of Linux or Unix shell scripting Experience in working with business customers to drive requirements analysis Exposure to large databases, BI applications, data quality and performance tuning Excellent written and spoken communication skills Experience with Hadoop-based technologies such as HBase, Pig, Hive and Spark Strong proven ability in building high-performance, highly available and scalable data solutions using Oracle andor Hadoop-based technologies Knowledge of data warehousing concepts.

Strong sense of ownership, urgency, and drive Strong troubleshooting and problem solving skills Experience with Amazon Web Services (AWS) Experis is an Equal Opportunity Employer (EOEAA)