Asks for

The ad says“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.”
The ad says“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.”
The ad says“Knowledge and experience with Analytics, Data Warehouse and Big Data concepts across both batch and streaming patterns”
The ad says“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.”
The ad says“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.”
The ad says“Expert level experience with AWS Cloud Services is preferred, knowledge of other Cloud Providers is a plus”
The ad says“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.”
The ad says“Knowledge and experience with Analytics, Data Warehouse and Big Data concepts across both batch and streaming patterns”
The ad says“Solid understanding of networking, infrastructure, cost management, SRE concepts”
The ad says“Knowledge and experience with Analytics, Data Warehouse and Big Data concepts across both batch and streaming patterns”
The ad says“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.”
The ad says“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.”
The ad says“Design and develop scalable ETL pipelines using AWS Glue and PySpark.”
The ad says“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.”
The ad says“Solid understanding of networking, infrastructure, cost management, SRE concepts”
The ad says“Working experience in Python is preferred, Java and other languages are a plus”
The ad says“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.”
The ad says“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.”
The ad says“Solid understanding of networking, infrastructure, cost management, SRE concepts”
The ad says“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.”
The ad says“Working experience in Python is preferred, Java and other languages are a plus”
The ad says“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.”
The ad says“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.”
The ad says“Solid understanding of networking, infrastructure, cost management, SRE concepts”
The ad says“Deploy infrastructure as code (IaC) with Terraform”
The ad says“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.”

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

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

Education

Bachelor’s: Computer and Information Science (Required)

Work Experience

General Experience - 6 to 10 years

Certifications

Travel

Less than 25%

Workstyle

Hybrid

The total compensation for this position includes base salary or wages, and may include components such as additional compensation (cash or equity), discretionary bonuses, or commissions. This position is eligible for a benefits package that may include medical, dental, and vision; life insurance; critical illness insurance and accident insurance; disability benefits; retirement savings; paid time off (including vacation, holidays, and sick leave); and parental leave. Eligibility for benefits and specific offerings may vary based on position and employment status. To view more details of the benefits offered, visit Myrjbenefits.com.

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 that matter
• Contribute to the continuous evolution of the firm

At Raymond James – as part of our people-first culture, we honor, value, and respect the uniqueness, experiences, and backgrounds of all of our Associates. When associates bring their best authentic selves, our organization, clients, and communities thrive. The Company is an equal opportunity employer and makes all employment decisions on the basis of merit and business needs.

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