GC and Citizens
Hi Friends,
Hope you are doing great,
I have an urgent requirement from one of my esteem client, I will appreciate if you can have an eye on the below requirement and send me your consultant updated profile ASAP.
Job Title: Data Engineer
Location: Reston, VA (Local or Nearby)
Duration: 4+ months
Requirements:
• Lead implementation teams from concept to completion by leveraging the best practices of Big Data
• Participate in the analysis, architecture and design of data hub
• Builds robust Big Data solution systems with an eye on the long term maintenance and support of the Application
• Work as part of a team to design and develop code, scripts, and data pipelines that leverage structured and unstructured data integrated from multiple sources
• Looks to leverage reusable code modules to solve problems across the team, including Data Preparation and Transformation and Data export and synchronization
• Design and develop automated test cases that verify solution feasibility and interoperability, to include performance assessments
• Act as a Big Data delivery liaison with Infrastructure, security, application development and testing team.
• Helps drive cross team design / development via technical leadership / mentoring
• Keep current on latest Big Data technologies and products, including hands-on evaluations and in-depth research
• Consult and advise solution architects on overall enterprise-wide analytics solutions that include a Data Hub Component
• Works with Project Manager to perform detailed planning, risks/issues escalation.
Qualifications
• Requirements for Big Data Engineer, Healthcare Analytics Senior:
• 4+ years of experience working with batch-processing and tools in the Hadoop tech stack (e.g., MapReduce, Yarn, Pig, Hive, HDFS, Oozie)*
• 4+ years of experience working with tools in the stream-processing tech stack (e.g., Spark, Storm, Samza, Kafka, Avro)* Experience developing applications that work with NoSQL stores (e.g., ElasticSearch, Hbase, Cassandra, MongoDB, CouchDB)* Experience developing for TB-level data stores and/or 10Gbps+ ingest speeds
• High-capacity data ingest into Hadoop or Spark is highly desired
• Hands-on experience with at least one major Hadoop Distribution such as Cloudera or Horton Works or MapR or IBM Big Insights
• System usage and optimization tools such as Splunk is a plus
• At least 4 years of experience delivering enterprise IT solutions as a solutions architect
• 8+ years of experience with SQL and at least two major RDBMS's
• 5+ years as a systems integrator with Linux systems and shell scripting
• 8+ years of doing Data related benchmarking, performance analysis and tuning
• 5+ years of Java experience
• Solid programming experience with a preference towards Java or Python
• DBA and/or Data Modeling experience
• Experience with operational and business-level metadata management
• Bachelor's degree in Computer Science, Information Systems, Information Technology or related field and 6+ years of software development/DW & BI experience.
• Health care experience is plus
• Excellent verbal and written communication skills
Love to Have:
• Hands-on experience with Cloudera 4.5 and higher, Horton Works 2.1 and higher or MapR 4.01 and higher
• Experience with Map/Reduce solution design and development
• ETL Solution experience, preferable on Hadoop
• Experience with industry leading Business Intelligence:
Additional InformationAll your information will be kept confidential according to EEO guidelines. please send the profiles to alih(at)usmsystems.com and contact No# 703-955-3955
Skills Required
- 4+ years of experience working with Hadoop tools
- 4+ years of experience with stream-processing tech stack
- 8+ years of experience with SQL
- Bachelor's degree in Computer Science or related field
- 5+ years of Java experience
- 4+ years delivering enterprise IT solutions
- 8+ years of Data related benchmarking, performance analysis and tuning
USM Business Systems Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about USM Business Systems and has not been reviewed or approved by USM Business Systems.
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Fair & Transparent Compensation — Pay is considered acceptable to good overall, with market-competitive figures evident in certain technical roles. Payroll is described as on time with straightforward arrangements, supporting baseline confidence in compensation.
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Healthcare Strength — Health coverage is characterized as solid in some contexts, including earlier mentions of free employer-paid insurance and a recent note of comprehensive benefits for certain employees. These experiences indicate pockets of strong medical coverage within the organization.
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Wellbeing & Lifestyle Benefits — Access to paid time off and some work-from-home flexibility is cited, contributing to a workable balance in select situations. These elements add practical lifestyle support even when other benefits are average.
USM Business Systems Insights
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.








