Big Data Engineer
At a glance
Mid-level Data Engineering role at USM. Washington · no salary stated · we estimate $126,800–$157,000.
USM has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Design and build database instances for both development and production environments
- Model data, tune performance, and plan for backup, recovery, and future capacity
- Plan data-management architecture and infrastructure, including ways to handle structured and unstructured data
- Assess the cost and setup of Big Data infrastructure, including cloud, appliance, or software options
- Use ETL to move data from source systems or traditional warehouses into Hadoop environments
What you bring
- A bachelor’s degree in computer science, engineering, mathematics, or another related field
- At least five years working with data technologies, including two years using Big Data platforms and analytics
- Deep knowledge of one relational database platform, with MySQL or PostgreSQL preferred
- Experience with data modeling, performance tuning, backup and recovery, and scalability planning
Who this fits
This mid-level role suits a Big Data engineer who can work independently on database architecture and large-scale data environments. You must be local to Virginia, Maryland, or Washington, DC, attend an in-person interview, and work onsite in Washington, DC. The engagement is six months.
From the employer
USM Business Systems Inc. is a quickly developing worldwide System Integrator, Software and Product Development, IT Outsourcing and Technology assistance supplier headquartered in Chantilly, VA with off-shore delivery centers in India. We offer world-class ability in giving most astounding quality and administrations through industry best practices planned to convey remarkable worth to our customers.
Utilizing our industry knowledge, administration service offering expertise and innovation abilities, we distinguish new business and innovation slants and create answers for help customers around the globe, giving top of the line solid and practical IT benefits which are cost effective services.
Established in 1999, the organization has corner qualities in building and dealing with a Business Oriented IT environment with rich involvement in technology innovation, ERP and CRM counselling, Product Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings include modified solutions and administrations in ERP, CRM, Enterprise architecture, offshore advisory services ,e-commerce, Social , Mobile, Cloud, Analytics (SMAC) and DevOps.
USM, a US ensured Minority Business Enterprise (MBE) is perceived as one of the fastest developing IT Systems Integrator in the Washington, DC zone. Most as of late, USM was positioned #9 on the rundown of the Top administrations organizations in the DC Metro Area – Washington Business Journal (2011). We are a project-driven firm that reliably meets the IT needs of our State and Government customers through development and business keenness.
Job Title: Big Data Engineer
Location: Washington, DC
Duration: 6 Months
Face to Face Must (NO SKYPE) must be Locals to VA/MD/DC
• Bachelor’s degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.
• 5+ years experience in data technologies with 2+ years experience with Big Data platforms and analytics.
• Deep expertise in at least one RDBMS platform (e.g., Microsoft SQL Server, MySQL, Oracle, PostgreSQL, etc.). MySQL or PostgreSQL preferred.
• Knowledge/Deployment experience of traditional database architecture and its limitations with respect to the collection/ingestion of structured/unstructured data.
• Data modeling experience with conducting performance tuning, backup/recovery, and scalability/capacity planning.
• Experience planning architectures and infrastructures in support of data management processes and procedures.
• Experience designing, developing, and implementing database instances for the development and production environments.
• Experience managing servers in large-scale, geographically diverse environments.
• Experience with hosted cloud storage services such as AWS or Google Cloud Platform.
• Understanding and practical knowledge of best practices with data structures, storage and retrieval of massive datasets.
• A strong and independent view of the most cost efficient and effective way of deploying a Big Data infrastructure installation (cloud, appliance, software) - vendor costs plus running costs, including an understanding of all of the additional tools/software required to run the analytics (e.g. Tableau, R, Python, Spark, etc).
• Knowledge of Hadoop (Hbase, Impala, MongoDB, PIG, Hive, Ambari, Flume, HCatalog, Mahout, Oozie, Sqoop, Whirr, Zookeeper etc) is a plus.Proven experience with ETL (extraction from source systems/ traditional data warehouses, loading in to Hadoop environment) is a plus.
HOW WE LIKE TO WORK
o In small, super-productive teams
o With self-motivated people with an entrepreneurial mindset
o With people who express themselves, have a positive attitude and a sense of humor
If my requirement matches your resume, then please do reply on my email id taherm(at)usmsystems.com and contact number 703-349-4237.
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