Need Sr Big Data Engineer at Beaverton, OR Only W2
At a glance
Senior Data Engineering role at USM. Beaverton · contract.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Bring data from varied domains and source systems into an analytics platform, handling differences in scale, update pace and volatility
- Organize and prepare incoming data through cloud-based processes for product teams across the client
- Build data workflows that automate how information is integrated across multiple subject areas
What you bring
- At least five years of professional development using Python, Scala or Java, with Python preferred
- At least five years building data-focused software for efficient access and manipulation at different scales
- Three or more years using HDFS tools, with Spark prioritized, and three or more years working in AWS
- Three or more years optimizing data use in relational databases, NoSQL or another listed platform
Who this fits
This senior contract role is based onsite in Beaverton, Oregon. You’ll suit work that involves collaboration with product teams and communicating technical ideas to partners with varied experience.
From the employer
Hi,
We have immediate opportunity with our direct client send your resume asap upon your interest. Thank you.
Position: Sr Big Data Engineer
Location: Beaverton, OR.
Duration: Long Term
Skills
Typical Office: This is a typical office job, with no special physical requirements or unusual work environment.
Core responsibilities: Expert data engineers will work with product teams across client to help automate and integrate various of data domains with a wide variety of data profiles (different scale, cadence, and volatility) into client's next-gen data and analytics platform. This is an opportunity to work across multiple subject areas and source platforms to ingest, organize, and prepare data through cloud-native processes.
Required skills/experience:
- 5+ years of professional development experience between either Python (preferred) or Scala/Java; familiarity with both is ideal
- 5+ years of data-centric development with a focus on efficient data access and manipulation at multiple scales
- 3+ years of experience with the HDFS ecosystem of tools (any distro, Spark experience prioritized)
- 3+ years of significant experience developing within the broader AWS ecosystem of platforms and services
- 3+ years of experience optimizing data access and analysis in non-HDFS data platforms (Traditional RDMS's, NoSQL / KV stores, etc)
- Direct task development and/or configuration experience with a remote workflow orchestration tool – Airflow (preferred), Amazon Data Pipeline, Luigi, Oozie, etc.
- Intelligence, strong problem-solving ability, and the ability to effectively communicate to partners with a broad spectrum of experiential backgrounds
Several of the following skills are also desired:
- A demonstrably strong understanding of security and credential management between application / platform components
- A demonstrably strong understanding of core considerations when working with data at scale, in both file-based and database contexts, including SQL optimization
- Direct experience with Netflix Genie is another huge plus
- Prior experience with the operational backbone of a CI/CD environment (pipeline orchestration + configuration management) is useful
- Clean coding practices, passion for development, being a generally good team player, etc, etc (and experience with GitHub) is always nice
Keys to Success:
- Deliver exceptional customer service
- Demonstrate accountability and integrity
- Be willing to learn and adapt every day
- Embrace changeSkills
Regards
Nithya
All your information will be kept confidential according to EEO guidelines. please send the profiles to nithyar(at)usmsystems.com and contact No# 703-794-2380.
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