Lead Cloud Data Engineer

Responsibilities

• Design and develop scalable ETL pipelines using AWS Glue and PySpark.
• Integrate data from various sources into Amazon Redshift, ensuring data quality and consistency.
• Optimize the performance of data processing jobs and Redshift queries.
• Deploy infrastructure as code (IaC) with Terraform
• Monitor and troubleshoot data pipelines to ensure reliability and efficiency.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements.
• Ensure compliance with security policies and regulations.
• Document data workflows and best practices.
• Mentor and guide junior engineers on the team.
• Continuously explore new AWS services and technologies to improve existing solutions.

Requirements

• Expert level experience with AWS Cloud Services is preferred, knowledge of other Cloud Providers is a plus
• Experience and understanding of AWS Cloud Services components like Redshift, S3, Kafka, Glue, AirFlow, SageMaker, EMR, Athena, Lake Formation, DynamoDB, Aurora, VPC, IAM and many other Cloud Service modules.
• Working experience in Python is preferred, Java and other languages are a plus
• Nice to have Terraform or other Infrastructure as Code experience
• Knowledge and experience with Analytics, Data Warehouse and Big Data concepts across both batch and streaming patterns
• Solid understanding of networking, infrastructure, cost management, SRE concepts
• Creating patterns for adoption from scratch and being able to document and articulate coding and architecture standards for others to follow.
• Performance tuning and optimization of code and infrastructure
• Creating a culture of continuous improvement, performs code reviews and makes recommendations for improvement or streamlining patterns
• Relevant experience in various database platforms, ETL solutions/products, Infrastructure, ETL architecture and On-Prem or Cloud Services.
• Financial Services Industry knowledge is a plus.
• Ability to:
• Identify and understand issues, problems and opportunities for automation.
• Good communication and organization skills that 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.
• Certifications
• Preferred , not required
• AWS Certified Solutions Architect
• AWS Certified Big Data
• AWS Certified Data Analytics
• AWS Certified Developer
• AWS Certified Machine Learning
• Education
• Bachelor's: Computer and Information Science (Required)
• Work Experience
• General Experience - 6 to 10 years
• Travel
• Workstyle
• Hybrid
• At Raymond James our associates use five guiding behaviors (Develop, Collaborate, Decide, Deliver, Improve) to deliver on the firm's core values of client-first, integrity, independence and a conservative, long-term view.
• We expect our associates at all levels to:
• Grow professionally and inspire others to do the same
• Work with and through others to achieve desired outcomes
• Make prompt, pragmatic choices and act with the client in mind
• Take ownership and hold themselves and others accountable for delivering results tha

Benefits

Additional Information

Job Description Summary We are seeking a highly skilled Lead Cloud Data Engineer to join our team. The ideal candidate will have extensive experience with AWS Glue, PySpark, and Amazon Redshift. You will be responsible for designing, implementing, and optimizing data pipelines, ensuring data quality, and collaborating with cross-functional teams to meet business needs. Job Description This position will follow our hybrid work model, we expect the selected candidate to be in office 2-3 days a week(10-12 days a month ) at the following office location: St. Petersburg, FL/ Memphis, TN/ Denver, CO/Southfield, MI

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