Data Engineer IV (Seattle)

Experis
Experis

Job Overview

Senior Data Engineer4-11 monthsRemote to Seattle 98121*W2 only – not available for C2C or Visa SponsorshipOverview:Your high profile client headquartered in Seattle is seeking an experienced Data Engineer with AWS, SQL and Python expertise for a 4-11 month remote contract assignment. In this role, you will be responsible for designing and implementing data solutions using AWS Cloud technologies. A successful candidate knows and loves working with business intelligence ETL tools, is comfortable accessing and working with big data from multiple sources, and passionately partners with the business to identify strategic opportunities and deliver results. You should have an internal drive to answer why? questions, excellent analytical abilities, strong technical skills, as well as superior written and verbal communication skills. She/He would be a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoy working in a fast-paced dynamic environment. Responsibilities: Build robust and scalable data integration (ETL) pipelines using SQL, EMR, Python and Spark.Build and deliver high quality data architecture to support business analyst, data scientists, and customer reporting needs. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources. Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers. Design and development ETL mappings within data integration tool. Design structured, multi-source data mappings to deliver the dashboards and reports that make data actionable. Drive the collection of new data and the refinement of existing data sources to continually improve data quality and implement business logic using efficient transformations.Supporting the platform using Cloud PlatformRequirements: Top requirements: Experience with AWS Technologies, SQL, Python coding Ability to build ETL pipelines SQL, PythonAble to talk to technology teams3+ years of experience as a Data Engineer or in a similar role Experience with data modeling, data warehousing, and building ETL pipelines Experience in SQL Experience with AWS services including S3, Redshift, EMR and Kinesis. Build robust and scalable data integration (ETL) pipelines using SQL, EMR, Python and Spark. Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.).2+ years of hands-on experience in writing complex, highly-optimized SQL queries across large data sets. 2+ years of experience in scripting languages like Python etc. 3+ years of hands-on experience in writing complex, highly-optimized SQL queries across large data sets.AWS professional certificationPreferred skills:Good instincts; you know what it means to be a subject matter expert and how to be a team player. Ability to work independently and problem solve with little to no direction. Impeccable customer service focus with a demonstrated desire to exceed expectations. Attention to detail; you prioritize multiple tasks simultaneously without sacrificing the ability to dive deep.Experis is an Equal Opportunity Employer (EOE/AA)Data Engineer IV (Seattle) 1

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