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, and 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 on 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 technology industry trends, particularly as they apply to Huntington.
• May assist with identifying training needs or with the 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 during 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