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Deployment Hadoop Big Data Java Scala Python SOLR HBase SQL Queries Relational Datab
 
Requirement id 110063
Job title Engineer
Job location in Pleasanton, CA
Skills required Data Scientist, Deployment, Hadoop, Big Data Java Scala Python SOLR HBase SQ
Open Date 15-Sep-2020
Close Date
Job type Contract
Duration 15 Months
Compensation DOE
Status requirement ---
Job interview type Phone Screening
   Email Recruiter: coolsoft
Job Description Engineer: Data Scientist, Deployment, Hadoop, Big Data Java Scala Python SOLR HBase SQ

Note:

* On-site/Remote: On-site

* Interview: Phone or video call


End date: 12/31/2021 (expected)

Requirements

Years of work experience: 4 year(s)

Responsibilities

Title: Big Data Hadoop Engineer

Location: Pleasanton

Type of position: Contract

Duration: 12+ months (multi-year contract)

Top Must Haves:

4+ years of hands-on Development, Deployment and production Support experience in Big Data environment.
4-5 years of programming experience in Java, Scala, Python, Solr, Hbase
Proficient in SQL and relational database design and methods for data retrieval.
Hands-on experience in Cloudera Distribution 6.x
Must have experience with Spring framework, Web Services and REST APIs.
Project Experience in Query Processing Language (QPL) – a search engine independent technology for Advance Query Processing is highly desirable.

Deliverables or Tasks:

The Hadoop/Machine Learning Engineer shall lead the Big Data team. The consultant will play the role of technical lead and provide professional services to support the long term IT strategy and planning to include high level analysis, professional reports and presentations, and mentoring, support and training.

The tasks for the Hadoop Engineer include, but are not limited to, the following:

Provide vision, gather requirements and translate client user requirements into technical architecture.
Design and implement an integrated Big Data platform and analytics solution
Design and implement data collectors to collect and transport data to the Big Data Platform.
Implement monitoring solution(s) for the Big Data platform to monitor health on the infrastructure

Technical Knowledge and Skills:

Project Experience in Query Processing Language (QPL) – a search engine independent technology for Advance Query Processing is highly desirable.
4+ years of hands-on Development, Deployment and production Support experience in Big Data environment.
4-5 years of programming experience in Java, Scala, Python.
Proficient in SQL and relational database design and methods for data retrieval.
Knowledge of NoSQL systems like HBase or Cassandra
Hands-on experience in Cloudera Distribution 6.x
Hands-on experience in creating, indexing Solr collections in Solr Cloud environment.
Hands-on experience building data pipelines using Hadoop components Sqoop, Hive, Solr, MR, Impala, Spark, Spark SQL.
Must have experience with developing Hive QL, UDFs for analyzing semi structured/structured datasets.
Must have experience with Spring framework, Web Services and REST APIs.
Hands-on experience ingesting and processing various file formats like Avro/Parquet/Sequence Files/Text Files etc.
Must have working experience in the data warehousing and Business Intelligence systems.
Expertise in Unix/Linux environment in writing scripts and schedule/execute jobs.
Successful track record of building automation scripts/code using Java, Bash, Python etc. and experience in production support issue resolution process.
Experience in building ML models using MLLib or any ML tools.
Hands-on experience working in Real-Time analytics like Spark/Kafka/Storm
Experience with Graph Databases like Neo4J, Tiger Graph, Orient DB
Agile development methodologies.

General skills
Must have

DW-Data Scientist

Languages
Must have

English Native or bilingual proficiency
 
Call 502-379-4456 Ext 100 for more details. Please provide Requirement id: 110063 while calling.
 
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(Engineer: Data Scientist, Deployment, Hadoop, Big Data Java Scala Python SOLR HBase SQ in Pleasanton, CA)
     
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