, North Dakota

Description

Summary:

The IS Technical Specialist provides technical and consultative support on the most complex technical matters. 

Duties and Responsibilities:

  • Migrate data located in a multitude of data stores, into the Data Lake
  • Orchestrate processes to ETL that data, slice it into the various data marts
  • Manage access to the data through Lake Formation
  • Build a data delivery pipeline to ingest a high volume of the real-time streams, detect anomalies, slice into the window analytics, put those results in the Elastic search system for the further dashboard consumption
  • Analyze, scope, and estimate tasks, identify technology stack and tools
  • Design and implement optimal architecture and migration plan
  • Develop new and re-architecture solution modules, re-design and re-factor program code
  • Specify the infrastructure and assist DevOps engineers with provisioning
  • Examine performance and advise necessary infrastructure changes
  • Communicate with the client on project-related issues
  • Collaborate with in-house and external development and analytical team
  • Analyzes, designs, and develops systems based upon user specifications. 
  • Provides technical assistance in solving hardware or software problems. 
  • Possesses an in-depth knowledge of and works with the technical tools available for systems development and support.
  • Maintains and demonstrates knowledge of technical industry trends, particularly as they apply to Huntington. 
  • May assist with identifying training needs or with training of less experienced staff. 
  • May serve as project leader for specific projects.
  • Performs other duties as assigned.

Please Note: This position is available for remote work, however the expectation is to be available to work on Eastern or Central time zone hours.

Basic Qualifications:

  • Bachelor's Degree
  • 5 years of experience with AWS operations

    Preferred Qualifications:

    • Hands-on experience designing efficient architectures for high-load enterprise-scale applications or ‘big data’ pipelines
    • Hands-on experience utilizing AWS data toolsets including but not limited to DMS, Glue, Data Brew, EMR, SCT
    • Practical experience in implementing big data architecture and pipelines
    • Hands-on experience with message queuing, stream processing, and highly scalable ‘big data’ stores
    • Advanced knowledge and experience working with SQL and NoSQL databases
    • Proven experience in re-design and re-architecting the large complex business applications
    • Strong self-management and self-organizational skills
    • Successful candidates should have experience with any of the following software/tools (not all required at the same time):
      • Python and PySpark - strong knowledge especially with developing Glue jobs
      • Big data tools: Kafka, Spark, Hadoop (HDFS3, YARN2, Tez, Hive, HBase)
      • Stream-processing systems: Kinesis Streaming, Spark-Streaming, Kafka Streams, Kinesis Analytics
      • AWS cloud services: EMR, RDS, MSK, Redshift, DocumentDB, Lambda
      • Message queue systems: ActiveMQ, RabbitMQ, AWS SQS
      • Federated identity services (SSO): Okta, AWS Cognito
    • Experience working in multi-platform environment
    • Ability to balance both development and support roles
    • Experience in working on projects that involve business segments
    • We are looking for a candidate with 3+ years of experience in Data, Cloud, or Software Engineer role, who has attained a degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field
    • Usage of HUDI with AWS Data Lakes
    • Graph databases development and optimization 3+ years
    • Neo4j, GREMLIN, Amazon Neptune, Knowledge Graphs
    • Valid AWS certificates would be a great plus
    • Strong interpersonal skills, focus on customer service, and the ability to work well with other IT, vendor, and business groups

    #LI-Remote

    #LI-AB2


    Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay)

    Yes

    Workplace Type:

    Remote

    Compensation Range:

    $100,000 - $115,000

    The compensation range represents the low and high end of the base compensation range for this position. Actual compensation will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance.  Colleagues in this position are also eligible to participate in an applicable incentive compensation plan.  In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO). 

    Huntington is an equal opportunity and affirmative action employer and is committed to providing equal employment opportunities for all regardless of race, color, religion, sex, national origin, age, disability, sexual orientation, veteran status, gender identity and expression, genetic information, or any other basis protected by local, state, or federal law.

    Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

    Agency Statement: Huntington does not accept solicitation from Third Party Recruiters for any position

    , North Dakota

    We at Huntington are committed to doing the right thing for our customers, colleagues, shareholders and communities. We excel by:

    • Providing competitive products and services and delivering a superior customer experience, always striving to earn the trust of our customers.
    • Delivering long-term shareholder value through top-tier performance, while maintaining an aggregate moderate-to-low risk appetite and well-capitalized position.
    • Equipping our colleagues to be the best at looking out for our customers, continuously improving our workplace and ensuring Huntington’s ongoing success.
    • Contributing to the economic strength of our local communities by investing in business growth, partnering and volunteering to make a difference where we live and work.

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