Data science engineer

W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters

Job OverviewSpecialized Area:Data ScienceJob Title:Data science engineerLocation:Seattle,WADuration:12 MonthsDomain Exposure:Work Authorization:Client:To Be Discussed LaterEmployment Type:W-2

(Consultant must be on our company payroll. C2C is not allowed)Location: Seattle, WADuration: Long Term ContractMode of Interview: Phone / Skype or WebEx Video Call to Hire.Job Summary:In this role, you will be responsible for driving improvements across portfolio of offerings by using data.Working collaboratively with cross-functional teams, you will develop, drive, and oversee new strategies to ensure the growth of the business and the overall bottom line.As a Data Analyst, you will Identify, analyze, and interpret trends or patterns in complex data sets.Responsible for developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality.Build strategy for acquiring data from primary or secondary data sources and unify data across different applications.The successful candidate will turn data into information, information into insight and insight into business decisionsBasic Qualifications:Bachelor's degree in Computer Science, Computer Engineering, Business Administration, Mathematics or a related field.5+ years of industry experience as an Analyst or related specialty.3+ years Programming experience manipulating and analyzing data (Python or Scala)Experience building robust and scalable data integration (ETL) pipelines using Airflow, SQL, Python and Spark.Experience in data modeling, ETL development, and Data warehousing.Data Warehousing Experience with Oracle, Redshift, Teradata, Snowflake etc.Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracyAdept at queries, report writing and presenting findingsDefining new data collection and analysis processesAn analytical mind and inclination for problem-solvingExperience building data products incrementally and integrating and managing datasets from multiple sources.Experience with Big Data Technologies (Hadoop, Hive, HBase, Pig, Spark, Apache Druid) such as S3, EC2, and EMR (Spark) etc.Lead the transformation of a peta-byte scale batch-based processing platform to a near real-time streaming platform using technologies such as Apache Kafka, Cassandra, Spark and other open source frameworks.QUANTUM TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. QUANTUM TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will QUANTUM TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract

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