Job ID:
J36993
Specialized Area:
Data Science
Job Title:
Sr Data Analytics Engineer
Location:
Houston, TX,TX
Duration:
6 Months
Domain Exposure:
Healthcare, Insurance, Education
Work Authorization:
US Citizen, Green Card, OPT-EAD, CPT, H-1B,
H4-EAD, L2-EAD, GC-EAD
Client:
To Be Discussed Later
Employment Type:
W-2 (Consultant must be on our company payroll. C2C is not allowed)
Job Description:Summary:
The Sr. Analytics engineer is responsible for delivery
of software modeling and data science solutions. This
role will lead the design, development and
operationalization of state-of-the-art machine learning
based solutions. Assist or conduct problem studies
leading to recommendations for upgrading/improving
existing equipment in field or lab environment. Performs
product-testing functions in a test lab facility and/or
field location.
Job Duties/Responsibilities
machine learning
IoT and Big Data
platforms which enable collection, storage,
modeling, and analysis of massive data sets
including those from IoT and streaming data
to non-technical business and executive leaders
selling large project engagements
assignments and making recommendations on technical
application developed by other professional
personnel or consultants.
staff.
advanced level studies
Job Requirements:
Skills/Knowledge
learning
implementing IoT architecture and analytical systems
in various project scenarios
*
Hands-on experience with cloud platform
technologies: Microsoft Azure IoT / Analytics Suite
*
Streaming data tools and techniques such as Kafka,
Azure Streaming Analytics, AWS Kinesis
*
Experience with cloud gateways, queues, messaging
hubs such as Azure Event Hub, Azure IoT Hub, MQTT,
XMPP, CoAP
*
Engineering and/or software development experience
and demonstrable architecture experience at
enterprise scale
*
Prior technology consulting experience desired
*
Experience in architecture and implementation of
large and highly complex projects
*
History of working successfully with
cross-functional engineering teams
*
Experience with Big Data platforms e.g. Azure DW,
SQL PDW, Cloudera, Hortonworks
*
Visualization experience: PowerBI, Tableau
*
Big Data Analytic frameworks and query tools such
as: HDINsight, Spark, Storm, Hive, Impala
*
ETL (Extract-Transform-Load) tools such as
Microscoft SSIS, Azure Data Factory, Pentaho PDI or
Talend or Informatica; also experience with ELT
*
Continuous delivery and deployment using Agile
Methodologies.
*
Data Warehouse and DataMart design and
implementation
*
NoSQL environments such as Cosmos, MongoDB,
Cassandra & Blob Storage
*
Data modeling of relational and dimensional
databases
*
Metadata management, data lineage, data governance,
especially as related to Big Data
*
Structured, Unstructured, Semi-Structured Data
techniques and processes
*
Machine Learning (R, Scala, Python)
Education
Bachelor's degree in a technical field such as Computer
Science, Mathematics, Physics, Engineering. Master's
degree or higher preferred
Experience
analysis
QUANTUM TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. QUANTUM TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will QUANTUM TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract