Sr. Hadoop Engineer (Only GC or US Citizens)
Required to work Onsite 100%.
Contract to hire.
No Sponsorship
Responsibilities:
Rapidly architect, design, prototype, and implement architectures to tackle the Big Data and Data Science needs Work in cross-disciplinary teams to understand client needs and ingest rich data sources such as social media, news, internal/external documents, emails, financial data, and operational data Research, experiment, and utilize leading Big Data methodologies, such as Hadoop, Spark, Redshift, and Microsoft Azure Implement and test data processing pipelines, and data mining / data science algorithms on a variety of hosted settings, such as AWS, Azure, and on-premise clusters Translate advanced business analytics problems into technical approaches that yield actionable recommendations, across multiple, diverse domains; communicate results and educate others through design and build of insightful visualizations, reports, and presentations Develop skills in business requirement capture and translation, hypothesis-driven consulting, work stream and project management, and client relationship development
Qualifications:
Bachelor's degree from an accredited college/university in Computer Science, Computer Engineering, or related field and minimum four years of big data experience with multiple programming languages and technologies 3 years of development experience in Java 3 years of professional experience working with Hadoop stack, preferably with Cloudera CDH, particularly Hive, Impala and HUE.
Good understanding of version control such as Git and automation tools like Jenkins Knowledge of best practices related to security, particularly Hadoop Security using Kerberos and Active Directory Hands on experience using relational databases like Oracle, SQL, Postgress , My SQL server, etc.
Ability to work efficiently under Unix/Linux environment and Unix Shell Scripting Ability to work with team members and clients to assess needs, provide assistance, and resolve problems, using excellent problem-solving skills, verbal/written communication, and the ability to explain technical concepts to business people Preferred:
3-5 years of experience in developing Java/J2EE application 3 years of development experience in MapReduce and Spark Hands on experience using Cassandra, HIVE, No-SQL databases ( like Hbase, Mongo db) Fluency in other programming languages such as Python, Scala, R with the ability to pick up new languages and technologies quickly; understanding of cloud and distributed systems principles, including load balancing, networks, scaling, in-memory vs.
disk, etc; Exposure to Data Science/Machine Learning.
.
Estimated Salary: $20 to $28 per hour based on qualifications.
Contract to hire.
No Sponsorship
Responsibilities:
Rapidly architect, design, prototype, and implement architectures to tackle the Big Data and Data Science needs Work in cross-disciplinary teams to understand client needs and ingest rich data sources such as social media, news, internal/external documents, emails, financial data, and operational data Research, experiment, and utilize leading Big Data methodologies, such as Hadoop, Spark, Redshift, and Microsoft Azure Implement and test data processing pipelines, and data mining / data science algorithms on a variety of hosted settings, such as AWS, Azure, and on-premise clusters Translate advanced business analytics problems into technical approaches that yield actionable recommendations, across multiple, diverse domains; communicate results and educate others through design and build of insightful visualizations, reports, and presentations Develop skills in business requirement capture and translation, hypothesis-driven consulting, work stream and project management, and client relationship development
Qualifications:
Bachelor's degree from an accredited college/university in Computer Science, Computer Engineering, or related field and minimum four years of big data experience with multiple programming languages and technologies 3 years of development experience in Java 3 years of professional experience working with Hadoop stack, preferably with Cloudera CDH, particularly Hive, Impala and HUE.
Good understanding of version control such as Git and automation tools like Jenkins Knowledge of best practices related to security, particularly Hadoop Security using Kerberos and Active Directory Hands on experience using relational databases like Oracle, SQL, Postgress , My SQL server, etc.
Ability to work efficiently under Unix/Linux environment and Unix Shell Scripting Ability to work with team members and clients to assess needs, provide assistance, and resolve problems, using excellent problem-solving skills, verbal/written communication, and the ability to explain technical concepts to business people Preferred:
3-5 years of experience in developing Java/J2EE application 3 years of development experience in MapReduce and Spark Hands on experience using Cassandra, HIVE, No-SQL databases ( like Hbase, Mongo db) Fluency in other programming languages such as Python, Scala, R with the ability to pick up new languages and technologies quickly; understanding of cloud and distributed systems principles, including load balancing, networks, scaling, in-memory vs.
disk, etc; Exposure to Data Science/Machine Learning.
.
Estimated Salary: $20 to $28 per hour based on qualifications.
|
|
 | |
