Need Sr Hadoop Big Data Engineer

Client is looking for Sr Hadoop Big Data Engineer

Location: El Segundo, CA, 6 Months

C2C rate: $65 to 68$/hour C2C

Client: IBM / AT&T

Visa Status: No CPT or OPT EAD accepted. Fake H-1B or tampered documents will be reported to USCIS Fraud Team.

 

Not All is mandatory in Responsibilities .  Technical Expertise is mandatory from an Analytical tools.

Key Roles and Responsibilities
This position will define data requirements, gather and mine large scale of structured and unstructured data, and validate data by running various data tools in the Big Data Environment. This function needs to support the standardization, customization and ad-hoc data analysis, and will develop the mechanisms to ingest, analyze, validate, normalize and clean data. Implements statistical data quality procedures on new data sources, and by applying rigorous iterative data analytics, supports Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value. Will work with Big Data Policy and Security teams and Legal to create data policy and develop interfaces and retention models which requires synthesizing or anonymizing data. Develop and maintain data engineering best practices and contribute to Insights on data analytics and visualization concepts, methods and techniques.

Technical Expertise required for this Position
- Datawarehouse skills like SQL , Data modelling and data profiling
- Analytics Tools like SAS , R , Python ,Scala,  data science & Machine Learning libraries
Responsibilities

• Configure and administrate Hortonworks Data Platform (HDP) and supporting ecosystem.
• Develop, implement, and support highly available platforms on which to deploy HDP and supporting ecosystems in a multi-tenant cloud environment.
• Automate the deployment, configuration, and supportability of HDP.
• Continually improve and optimize the performance of HDP and supporting ecosystems.
• Work directly with technical and business resources to devise and recommend solutions based on analysis of requirements.
• Work alongside scientists, engineers and analysts to bring their ideas to life by implementing algorithms, running experiments and building prototypes.
• Perform proactive analysis to prevent exposure to known software issues.
• Analyze complex distributed production deployments, and make recommendations to optimize performance.
• Upgrade existing HDP cluster to newer versions of the software.
• Setup new HDP users. This includes setting up Kerberos principals and testing HDFS, Hive, HBase and Yarn access for the new users.
• Perform HDP security configurations with Ranger, Kerberos, Knox and Atlas.
• Monitor and optimize cluster utilization, performance and operations.
• Promote and establish DevOps culture and practices.
• Write and produce technical documentation, administration runbooks and knowledge base.
• Keep current with Hadoop Big Data ecosystem technologies.

 Pls send resume with contact details, visa status and best rate.

 

Thanks

Chinna Reddy | chinna.reddy@kiranam.com | 214-764-1248

www.kiranam.com | Kiranam Technologies

11494 Luna Road, Suite 160, Farmers Branch, TX 75234