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Senior AWS Data Engineer

Senior AWS Data Engineer
Raymond James
7 months 3 weeks ago

Note

This position will follow our hybrid work model, we expect the selected candidate to be in the office a minimum of 8 days per month at the St. Petersburg, FL Corporate Office location.

Job Summary

This role will help drive and implement engineering solutions and strategies that will enable DevOps and hybrid cloud technology adoption for our Raymond James Bank. This includes designing and participating in the development of cloud-based solutions that scale to help deliver both internal and business facing applications. This role will leverage Infrastructure as Code (IaC) frameworks and programming languages to provide a repeatable catalog of secure platform services including virtualized and container-hosted services. This is a hands-on role where the candidate will be expected to code and oversee the development by other team members.

Essential Duties and Responsibilities

  • Research and recommend innovative technologies and approaches for private and public cloud infrastructure management, upgrades, or improvements, while adhering to technical or budgetary constraints.
  • Proactively plan capacity monitoring and scaling of platforms and applications.
  • Obtain and evaluate information on factors such as costs, performance, and security to determine solution patterns and services.
  • Participate in software system programming, validation, deployment, and documentation.
  • Provide technical leadership, including mentoring others, gaining consensus across teams & individuals, substantiating technical decisions, validating team recommendations, integrating efforts into a comprehensive strategy, and delivering results on time.
  • Writes and/or reviews system specifications, including output requirements, flow charts and technical diagrams.
  • May occasionally work a non-standard schedule including nights and/or weekends and/or have on-call responsibilities.

Qualifications

Knowledge, Skills, and Abilities

Knowledge of

  • Hands-on knowledge of orchestration techniques that manage complex dependencies between inputs and processing steps.
  • Hands-on experience in Data Analytics, ETL, Database Queries.
  • Hands-on experience with AWS services is strongly preferred (Glue, Redshift, Lambda functions, S3, EC2, etc...).
  • Financial Services Industry knowledge is a plus.

Skill in

  • Expert in Python or another object-oriented language.
  • Participate in and contribute to peer code reviews.
  • Willingness to learn new technology.
  • Must have strong database skills (Oracle, SQL Server, ETL & ELT).
  • Experience in modern development lifecycle including Agile methodology, CI/CD, automated deployments, etc.
  • Preferred knowledge of some of the AWS services.

Ability to

  • Identify and understand issues, problems, and opportunities; compare data from different sources to draw conclusions.
  • Clearly convey information and ideas through a variety of media to individuals or groups in a manner that engages the audience and helps them understand and retain the message.
  • Use effective approaches for choosing a course of action or developing appropriate solutions; recommend or take action that is consistent with available facts, constraints, and probable consequences.
  • Demonstrate a satisfactory level of technical and professional skill or knowledge in position-related areas; remains current with developments and trends in areas of expertise.
  • Develop and use collaborative relationships to facilitate the accomplishment of work goals.
  • Make internal and external clients and their needs a primary focus of actions; develop and sustain productive client relationships.
  • Occasionally work a non-standard shift including nights and/or weekends and/or have on-call responsibilities.

Education/Previous Experience

  • Minimum of a Bachelor’s degree in Computer Science, MIS, Business, or related degree and three (3) to five (5) years of relevant experience or a combination of education, training, and experience approved by HR.
  • Ideally three (3) to five (5) years of large-scale data engineering, with at least one implementation in AWS, ideally using Redshift, Glue, S3, DMS, Step Functions, and Lambdas.

Licenses/Certifications

  • AWS Certifications preferred but not required.

Expertise level

Work arrangement

Key skills

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