Since 1918, it has been Employer’s mission to serve, our ability to perform and the values we embrace that make us a different kind of financial services organization. We’re dedicated to serving the financial needs of those in the academic, medical, cultural, governmental and research fields, and committed to helping make lifetime financial well-being possible for them.
By building a culture that allows all employees to contribute their unique talents and skills, we’re able to provide our customers with fresh ideas and distinct perspectives to help them achieve their goals. We believe a diverse and inclusive workforce is one of our greatest strengths and a key measure of our success*.
For more information about Employer, visit our website.
Employer’s Production Services team manages our core infrastructure assets. Our team is the first line of support on any production related issues including our network and telecommunications, computing (middleware), and end-user support, as well as the firm’s 24x7 data center operations. The Production Services team collaborates closely with our business-aligned partners in technology and with key stakeholders across the enterprise.
As a Lead Engineer you will have the opportunity to engineer and administer Employer’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.
KEY RESPONSIBILITIES AND DUTIES:
Ten or more years of overall IT/DBMS/Data Store experience, preferably with a background in Oracle database engineering
Three or more years of experience in, big data, data caching, data federation and data virtualization management with experience in leveraging Hadoop and/or No-SQL preferred
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
Equal Employment Opportunity is not just the law, it’s our commitment. Read more about the Equal Employment Opportunity Law.
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We are an Equal Opportunity/Affirmative Action Employer. We will consider all qualified applicants for employment regardless of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other legally protected status.
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