Sr BIG DATA ENGINEER

Baltimore, MD Baltimore MD 21297

Date : Jun-23-17

Baltimore, MD

Jun-23-17

Work Authorization

US Citizen
GC
H1B
GC EAD

Preferred Employment

Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire

Job Details

Experience

Architect

Rate/Salary ($)

DOE

Duration

Sp. Area

BigData, NoSQL

Sp. Skills

Hadoop

Consulting / Contract

Certification Preferred

Required Skills :

Java map reduce, Apache spark, pachyderm, Impala, Hcatalog, Hive, YARN, Mesos, Kubernetes , Apache NiFi, Scoop, Kafka

Preferred Skills :

cluster management technologies such as YARN, Mesos, Kubernetes Knowledge of big data application development framework such as Spring XD • Preferred

Domain :

IT/Software, Financial, Government, HealthCare, Retail, Dot Com, Insurance, Pharmaceuticals, Manufacturing, Telecom

Work Authorization

US Citizen
GC
GC EAD
H1B

Preferred Employment

Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire

Job Details

Experience

Architect

Rate/Salary ($)

DOE

Duration

Sp. Area

BigData, NoSQL

Sp. Skills

Hadoop

Consulting / Contract

Certification Preferred

Required Skills :

Java map reduce, Apache spark, pachyderm, Impala, Hcatalog, Hive, YARN, Mesos, Kubernetes , Apache NiFi, Scoop, Kafka

Preferred Skills :

cluster management technologies such as YARN, Mesos, Kubernetes Knowledge of big data application development framework such as Spring XD • Preferred

Domain : IT/Software, Financial, Government, HealthCare, Retail, Dot Com, Insurance, Pharmaceuticals, Manufacturing, Telecom

CNET GLOBAL SOLUTIONS
Dallas, TX
Post Resume to
View Contact Details &
Apply for Job

Job Description :

Role: Sr BIG DATA ENGINEER.
Location: BALTIMORE, MD.
Client: FEDERAL Govt.
Job Type: Contract

Description: Need a Big Data Guru who can author best practice, design, and be hands-on in the coding/implementation when needed.
The Sr. Big Data Engineer will be part of the team to develop the new data platform that will enable integration of data sources with the next generation technologies across functional boundaries and enable researchers and decision makers to solve ever more complex problems and make decisions that impact patient outcomes.
Responsibilities:
Design, develop and maintain an information architecture and conceptual models for industry specific domain areas (e.g., health care)
Develop data and metadata policies and procedures for cross-functional software development teams to build, maintain and leverage the data model, ensuring integration with customer and industry data standards. Work with Business Analysts to correlate business requirements to domain entities and data elements
Work with DBAs to implement data and metadata design into physical structures
Work with Developers to design, implement and maintain scalable software solutions that use database structures designed and maintained by the Data Architect
Review and evaluate database performance, risk and financial analysis feasibility studies Monitor industry trends and directions to apply to current and future projects
Develop and present technical recommendations to senior management
Provide technical, strategic advice and guidance of the highest level to senior managers and technical resources in the creation and implementation of new data standards and databases. Provides complete assessments of the technical characteristics of proposals and alternatives considered to optimize database performance.
Reviews and assesses technical proposals requesting changes or upgrades to the existing databases.
Required Skills:
3+ years of database administrator experience
5+ years of team lead experience
5+ years of system analysis experience
3+ years of data modeling experience
3 + years of experience in designing data processing pipeline using distributed parallel processing technologies
Hands-on experience working on distributed file system such as HDFS
Hands-on experience with distributed programming using Java map reduce, Apache spark, pachyderm, etc
Hands-on experience working on SQL-on-Hadoop solutions like Impala, Hcatalog, Hive, etc Hands-on experience working on data ingestion tools such as Apache NiFi, Scoop, Kafka Experience with cluster management technologies such as YARN, Mesos, Kubernetes Knowledge of big data application development framework such as Spring XD
Preferred Experience:
Experience working with, or an interest in Agile methodologies.
Hands-on programming based on TDD, usually in a pair programming environment.
Knowledge of Data management for reporting and analytics experience is a plus, Along with familiarity with SQL and RDBMS technologies is another plus.

Client : FEDERAL Govt