Big data engineer

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Job Title:Big data engineer Duration: 6 Months LOCATION: 1st Preference Iselin or Charlotte ONSITE And New York, NJ Only GC/Citizens Job Description: Scope of Work POSITIONAs a Lead Engineer you will have the opportunity to engineer and administer TIAA’s big data environment. Your role will be responsible for administering our Hadoop and No-SQL ecosystem components such as HDFS, Hive, MR, Yarn, Impala, Spark, Sqoop, HBase, Sentry, Hue and Oozie. Your role will design and implement automated processes, research database technologies, communicate effectively with database administrators and application stake holders to ensure your internal clients’ needs are met. RESPONSIBILITIES Responsible for the implementation and on-going administration of Hadoop infrastructure including the installation, configuration and upgrading of Cloudera distribution of Hadoop

File system, cluster monitoring, and performance tuning of Hadoop ecosystem

Resolve issues involving map reduce, yarn, sqoop job failures; Analyze multi-tenancy job execution issues and resolve

Design and manage backup and disaster recovery solution for Hadoop clusters

Work on Unix operating systems to efficiently handle system administration tasks related to Hadoop clusters

Manage the Apache Kafka and Apache NIFI environments

Participate and manage the data lakes data movements involving Hadoop, NO-SQL databases like HBase, Cassandra and Mongodb

Work with data delivery teams to setup new Hadoop users. Includes setting up Linux users, setting up Kerberos principals and testing HDFS, Hive, Pig and Map Reduce access for the new users. Configure Hadoop security aspects including Kerberos setup and RBAC authorization using Apache Sentry

Create and document best practices for Hadoop and big data environment

Participate in new data product or new technology evaluations; manage the certification process and evaluate and implement new initiatives in technology and process improvements

Interact with Security Engineering to design solutions, tools, testing and validation for controls

Evaluate the database administration and operational practices, and evolve automation procedures (Using scripting languages such as Shell, Python, Chef, Puppet, CFEngine, Ruby etc.)

Advance the cloud architecture for data stores; Work with TIAA Cloud engineering team with automation; Help operationalize Cloud usage for databases and for the Hadoop platform

Engage vendors for feasibility of new tools, concepts and features, understand their pros and cons and prepare the team for rollout

Analyze vendor suggestions/recommendations for applicability to TIAA’s environment and design implementation details

Perform short and long term system/database planning and analysis as well as capacity planning

Integrate/collaborate with application development and support teams on various IT projects

Qualifications

• Required Experience Bachelor’s degree; Preferably in Computer Science or Information Systems

• Ten or more years of overall IT/DBMS/Data Store experience

• Three or more years of experience in, big data, data caching, data federation and data virtualization management including experience in leveraging Hadoop

• Two or more years of expertise and in-depth knowledge of SAN, system administration, VmWare, backups, restores, data partitioning, database clustering and performance management

• Experience writing shell scripts, and automating tasks. Exposure to Chef or/and Puppet is preferred

• Experience in the implementation details of Hadoop Clusters, Impala, and HBase and other emerging data techniques

• Experience with monitoring technologies for databases

• Experience with orchestration techniques, infrastructure automation and cloud deployments

• Understating of Linux, Windows, Dockers / containers

• Familiarity with “IaaS” and “DBaaS” Service oriented concepts preferred

• Familiarity of Cloud Architecture (Public and Private clouds) – AWS , AZURE preferred

• Working knowledge of VMware and VMware vCloud Automation Center (vCAC) preferred Desired Experience Proficiency in using Microsoft Office (Word, Excel, PowerPoint) to document, present, communicate and articulate idea/s and concepts

• Strong communication skills and the ability to collaborate and work in teams with other engineers, working in a fast paced and ever changing technical environment

• Application development experience – database programming, scripting, setting up web sites and dashboards

• All your information will be kept confidential according to EEO guidelines.