Job Title: Network Engineer
Job Location : Remote
Job Duration : Long Term

General tasks and responsibilities will include:
  • Lead construction, maintenance, & optimization of data pipelines.
  • Drive Automation through effective metadata management, using innovative and modern tools, techniques, and architectures to improve productivity.
  • Lead renovation of the data management infrastructure to drive automation in data integration and management.
  • Collaborate with multiple Analytics Center of Excellence teams and EIM team in refining their data requirements for various DnA initiatives and data consumption requirements.
  • Identify gaps in new data initiatives and how to address new data requirements.
  • Transfer knowledge of data and/or domain understanding in addressing new data requirements.
  • Propose appropriate (and innovative) data ingestion, preparation, integration and operationalization techniques to optimize data requirements.
  • Work with data governance teams to ensure data scientists and consumers use corresponding data responsibly through data governance and compliance initiatives.
  • Design and implement data quality monitoring systems, which includes source-to-target data validations as well as anomaly detection
  • Plans, designs, configures, installs, implements, tests, integrates, maintains and supports enterprise-level networks
  • Provide technical oversight and support for the availability, optimization, performance and capacity reviews of network services, troubleshooting of various enterprise network technologies including but not limited to LAN, WLAN, WAN, SWAN, Network Load balancers, VIPs BGP, EIGRP, MPLS, VPN, WAP, NAC, NAT, SNMP, QoS, VLANs, ACLs, TACACS, and RADIUS.
  • Leads small-scale network projects
  • Provide technical oversight and support for the availability of network services, including design, implementation, administration, support and optimization of enterprise internetworking devices such as firewalls, routers, switches, security devices, and all supporting network fabric.
  • Provide technical oversight and support for the availability of network services, including design, implementation, administration and optimization of an enterprise IP telephony network including voice gateways, VoIP call control systems, call queue control systems, auto attendant systems, VOIP systems and IP phones.
  • Provide technical oversight and support for the availability of network services, including design, implementation, administration, support, troubleshooting and optimization of enterprise network management and monitoring utilities.
  • Responsible for the installation and configuration of devices to standard configuration standard.
  • Design and implementation of disaster recovery plans and disaster recovery quality assurance tests for the network infrastructure to ensure sustainability of business continuity operation and service availability.
  • Work with internal business units and vendors to effectively engineer and implement network infrastructure modifications that further support the strategic initiatives of the organization.
  • Actively and quickly resolve incident and request tickets and for problem resolution.
  • Responsible for compliance with all Federal regulations audit in all facets for support and design implementation.
  • Assist with training of junior personnel engineers.
  • Perform other duties as may be assigned for business sustainability.



Mandatory Qualifications:
  • Bachelor’s degree/master's degree/advanced degree in computer science, statistics, applied mathematics, data management, information systems, information science or related field
  • Expertise and excellent understanding of Snowflake Internals and integration of Snowflake with other data processing and reporting technologies
  • Agile Software development methodologies
  • Proficient in Microsoft Office (Required)
Expert in Informatica PowerCenter, PL/SQL, SQL and additional programming languages such as Python, Java etc.
  • Minimum 10 years of work experience in data management disciplines, including data integration, modeling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks.
  • Minimum 2 years designing and implementing a fully operational production grade large scale data solution on Snowflake Data Warehouse.
  • Minimum 10 years of hands on experience designing and implementing production grade data warehousing solutions on large scale databases such as SQL Server, Oracle or DB2
  • 5+ years data pipeline development experience with Informatica Powercenter and IBM DataStage
  • 3+ years of experience with advanced analytics tools for Object-oriented/object function scripting using languages such as R, Python, Java, C++, Scala, others
  • 3+ years of experience with Shell/Perl Scripting
  • 5+ years of experience with popular database programming languages including SQL, PL/SQL (required), others for relational databases and certifications on upcoming NoSQL/Hadoop oriented databases (preferred) like MongoDB, Cassandra, others for nonrelational databases.

CERTIFICATION(S)/NYS LICENSE(S):
  • CCNP or equivalent certification or experience
  • Cisco Certified Network Professional (CCNP) or Cisco Certified Design Professional (CCDP) certification, required
Knowledgeable In:
  • To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills and/or abilities required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Educational Level:
  • A Baccalaureate Degree from an accredited college or university with a major in Computer Science, Systems Engineering, applied Mathematics, Business Administration, Economics/Statistics, Telecommunications, Data Communications, or a related field of study; and
  • Five (5) years of progressive, responsible experience in the field of data processing, computer systems, and applications.
  • Operations Specialty requires supervisory experience (5 years).
  • Network Services requires a telecommunications background and experience.
  • Broad knowledge and expertise in the characteristics of computers, peripheral devices, communications systems and hardware capabilities, programming languages, E.D.P. applications, systems analysis methodology, data management and retrieval techniques; or
  • A satisfactory equivalent combination of training, education, and experience.
Years of Experience:
  • Five (5) years of progressive, responsible experience in the field of data processing, computer systems, and applications.
  • Operations Specialty requires supervisory experience (5 years)

Desired Qualifications:
  • Preferred experience in working with data science teams in refining and optimizing data science and machine learning models and algorithms
  • Full Lifecycle Data Warehouse, Data Mart Development experience is a big plus.
Preferred experience with any automation tool such as AutoSys, Cntl-M.

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