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Data Engineer II

Company: Experis
Location: Seattle
Posted on: January 16, 2022

Job Description:

Data Engineer 6 month contract Seattle, WA or Remote PST hours*W2 only - not available for C2C engagement Overview: Our client is looking for a Data Engineer to join their Game Growth team. We seek a Data Engineer with a strong track record of taking on end-to-end ownership and delivering scalable solutions to enable our BI team and partners in a fast-paced and dynamic business environment! This person will be a creative problem solver who is obsessed with customers plus resourceful, collaborative, and insightful with the ability to work independently under time constraints to meet deadlines. Responsibilities: Maintain the GG data warehouse, automate manual processes, optimize data delivery for reporting and re-design infrastructure for greater scalability.Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies.Manage data permissions, access roles and security to keep GG data secure across Company.Collaborate with BI engineers, software developers, product managers, and financial analysts to assist with data-related technical issues, migrations, upgrades and infrastructure needs.Maintain and support Redshift Cluster and Schemas, ETL jobs and tables used for daily, weekly and monthly business reporting.Take ownership of the design and data quality, governance, performance tuning, capacity planning, data availability and operational aspects of the data solutions.Help continually improve ongoing data pipelines and automate or simplify self-service support for customers by building the required master and dimension tables.Collaborate with Business Intelligence Engineers (BIEs) to recognize and help adopt best practices in reporting and analysis: Data modeling, data integrity, design, analysis, validation, and documentation.Required Skills & Experience: Top requirements: ETL skills, SQL, AWS Services, communication skills - ability to talk with higher-ups3-6 years of related experience.Very Strong development experience with implementation and performance tuning MPP databases (Redshift, Snowflake, Teradata, Vertica, etc.).Should have demonstrated strength in ETL/ELT and data modeling.3+ years of experience in writing complex, highly-optimized SQL queries across large data sets.Experience in a modern coding language like Python, Java, etc.A good candidate can partner with business owners directly to understand their requirements and provide data which can help them observe patterns and spot anomalies.Experience working with AWS cloud services (Redshift, S3, Kinesis, Lambda, Glue, etc.)Preferred: Experience working with external API'sQuantitative and qualitative data science experience with demonstrated impact to a businessAbility to think critically, question assumptions and devise solutions to challenging technical problemsSelf-starter, be relentless in execution and fleshing out gaps in expectations

Keywords: Experis, Seattle , Data Engineer II, Engineering , Seattle, Washington

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