Lead Cloud Data Engineer

Raymond James Financial, Inc.; Saint Petersburg (FL); Hybrid; USD 110,000 - 165,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Raymond James Financial, Inc. is seeking a data engineering professional to design and implement scalable ETL pipelines in a hybrid work setting. The role focuses on AWS Glue, PySpark, Redshift, and data integration across sources to deliver reliable, compliant analytics infrastructure.

You will collaborate with data scientists and analysts, optimize pipeline performance, and mentor junior engineers while exploring new AWS services to enhance existing solutions.

Qualifications

• Design and implement scalable ETL pipelines in AWS.
• Experience with Redshift, S3, Glue, Kafka, Airflow and related services.
• Proficiency in Python; Java or other languages are a plus.

Responsibilities

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

Skills

AWS Cloud Services

Redshift

S3

Kafka

Glue

Airflow

SageMaker

EMR

Athena

Lake Formation

DynamoDB

Aurora

VPC

IAM

Python

Terraform

Infrastructure as Code

Analytics

Data Warehouse

Big Data

Networking

SRE

ETL

Tools

PySpark

Terraform

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

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.

Skills:

• 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