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.
Top Skills
What We Do
USM is helping companies change existing business paradigms by bringing tomorrow’s AI and Automation solutions to today’s businesses.
Disruptive new technologies are helping corporations become more agile, competitive and profitable. Predictive algorithms are provisioning customer orders more accurately than ever before. Cognitive technologies are enhancing the customer experience at every touch point and open-ledger validation methods are improving the accuracy of complex, global financial transactions. Automation is no longer a choice, it is the engine that drives business growth.
Established in 1999 as an IT Consulting services company in the Washington DC metro area, the USM group of companies today consists of 1000+ employees across North America, Europe, Asia and Australia, providing a range of services such as
* Automation & Innovation
* Architecture & Consulting
* Maintenance & Support
* Contingent Workforce.
Our experts are SMEs in the following critical business areas – data sources (internet devices), mobile commerce strategies, customer acquisition & retention and ultimately, leveraging enterprise data management to drive competitiveness. We have the resources that can help you design your enterprise architecture, build & deploy your applications, as well as manage your IT operations 24x7.
Our focus areas include AI, Data science, RPA, Connected cars & devices, Natural language processing, Computer vision, Virtual agents, Blockchain, IoT, Mobile commerce, Retention programs, AR, VR, Gaming, and Enterprise data management.








