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data scientist 4.

• redmond , washington (remote)

• posted today

job details

summary

• $57.41 - $67.41 per hour

• contract

• bachelor degree

• category computer and mathematical occupations

• reference1070939

job details

job summary:

• 3+ years working as an Analytics Engineer or Data Engineer with regular business collaboration or equivalent on large enterprise systems.

• Critical thinker and problem solver who brings a creative and open mindset to each situation.

• A proven track record building and optimizing analytic solutions which deliver significant business impact.

• Data analysis skills to identify, select and prepare quality data for analytics use cases.

• Experience building enterprise scale data pipelines on Cloud Data Platforms using Spark and Databricks for ETL/ELT, data products, or Machine Learning; Azure preferred.

• API and application development experience for data access and analytics solutions.

• strong Python skills for data processing combined with a pythonic mindset. Proficient SQL.

• Working knowledge handling logs or event streaming data sources.

• Working knowledge of DevOps and DataOps including feature planning, version control, multi-environment, CI/CD, data-modeling, automation, governance, and continuous improvement.

• Video game domain knowledge is important - as an experienced Player or industry veteran

location: Redmond, Washington

job type: Contract

salary: $57.41 - 67.41 per hour

work hours: 8am to 5pm

education: Bachelors

responsibilities:

• Collaborate with data consumers and stakeholders to understand their data needs.

• Identify and analyze multi-structured data from a variety of sources to select the most effective and accurate data which fulfills the analytics requirements.

• Design data models, architect dataflows, and create technical requirements to deliver solutions.

• Build and maintain automated data pipelines to source and transform data into clean, enriched, and optimized polyglot data models which can evolve with changing needs.

• Use modern data engineering practices and frameworks to create scalable big data solutions for analytics and machine learning, while ensuring data quality.

• Write and maintain technical documentation for the data models and analytics solutions.

• Assist Users with data access tools and documentation to unlock the value of the analytics data.

• Provide stewardship in the creation, collection, maintenance, and documentation of metadata.

• Handle confidential information responsibly and correctly security and privacy policies.

qualifications:

• Experience level: Experienced

• Minimum 3 years of experience

• Education: Bachelors

skills:

• Data Warehouse

• Data AnalysisEqual Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).This posting is open for thirty (30) days.