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    Usm

    Information Technology

    Urgent Need Hadoop Big Data Engineer with Healthcare exp

    Reston, United StatesOn-SiteContract8+ yrs experiencePosted 4w ago
    All Usm jobs

    Job description

    GC and Citizens Only

    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.

    Position Title: Big Data Engineer – Sr. Healthcare Analytics

    Location: Reston, VA (Locals Only)

    Duration: 3 months+

    Looking for a Big Data Engineer, Healthcare Analytics Senior with proven past experience in leading and delivering the Big Data solutions. The resource needs to work with Business stakeholders, Management, Architects, Developers, infrastructure and administrators to deliver a prototype by end of Dec 2016.

    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

    If you are interested please share your resume to alih@usmsystems(dot)com or can directly call me on 703 955-3955

    Job details are sourced from the employer's original posting.

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    About the company

    Usm

    Supports the maintenance and development of the extract transform and load (ETL) aspects of the data warehouse.

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    Industry
    Information Technology
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