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Franklin Madison Group LLC

Technical Lead, Data Warehouse and Java

Franklin Madison Group LLC Brentwood, Tennessee, United States

Insurance · 201-500 employees

Yesterday
java Senior (5-10 yrs) Full-time United States
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About the role

The Technical Lead will design, develop, and maintain large-scale data warehouse solutions within AWS while collaborating with stakeholders to deliver robust data models. They are responsible for implementing ETL pipelines, optimizing system performance, and ensuring data security and compliance.

What they look for

Java AWS Redshift AWS Glue ETL Data Warehousing Python Qlik Power BI Spring AWS Lambda AWS S3 AWS Step Functions Data Modeling Data Governance Software Engineering Cloud Architecture

Requirements

Candidates must hold a Bachelor's degree in Computer Science or a related field and possess at least five years of relevant experience. Required expertise includes extensive work with Java, AWS cloud services, ETL pipeline implementation, and data warehouse design.

Full description

Description

Designing, developing, and maintaining large-scale data warehouse solutions in AWS, primarily using Amazon Redshift (20%); Collaborating with business stakeholders and data engineers to gather requirements and deliver data models and architectures that meet the needs of the business (10%); Implementing ETL (Extract, Transform, Load) pipelines using ASW services such as AWS Glue, AWS Lambda, and AWS Step Function (10%); Optimizing and fine-tuning the performance of the data warehouse and ETL processes (10%); Ensuring high availability, scalability, and security of data warehouse solutions (5%); Integrating data from various sources (databases, S3 files, Salesforces, etc.) into a unified data warehouse (5%); Monitoring and troubleshooting issues related to data warehouse performance and data integrity (5%); Creating and maintaining automated workflows and processes for data ingestion, transformation, and reporting (10%); Collaborating with data scientists, analysts, and other stakeholders to ensure that data is accessible and available for analysis (10%); Developing data models, data dictionaries, and documentation for users and team members (10%); and Ensuring compliance with best practices in data governance, security, and privacy within AWS (5%).

Requirements

Must have a Bachelor’s degree in Computer Science or related field plus five (5) years of relevant experience. Experience must include five (5) years of experience with solutioning, designing, developing, and maintaining large-scale Java applications and systems in AWS; five (5) years of experience with implementing ETL (Extract, Transform, Load) pipelines using AWS services such as any one or a combination of AWS EC2, AWS S3, AWS Glue, AWS Lambda, or AWS Step Function; five (5) years of experience with any one or a combination of AWS Lambda, AWS RDS, AWS S3, AWS Step Functions, Java, Spring; Two (2) years of experience with designing, developing, and maintaining large-scale Data Warehouse solutions in AWS; Two (2) years of experience with AWS Glue, Python, Qlik and Power BI; and five (5) years of experience with designing, developing, and modifying software systems, using scientific analysis and mathematical models to predict and measure outcomes and consequences of design.

This is a hybrid role and may work from home within commuting distance of the office up to 2 days a week and must work in the office a minmum of 3 days a week. 5 days/40hrs/wk

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