Lead Cloud Data Engineer

Raymond James•Southfield, MI

9d•Hybrid

About The Position

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. 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

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
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.
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.
Bachelor’s: Computer and Information Science (Required)
General Experience - 6 to 10 years

Nice To Haves

Terraform or other Infrastructure as Code experience
Financial Services Industry knowledge is a plus
AWS Certified Solutions Architect
AWS Certified Big Data
AWS Certified Data Analytics
AWS Certified Developer
AWS Certified Machine Learning

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.