Senior Data Engineer (Python) - Financial Services Firm
Description For Senior Data Engineer (Python) - Financial Services Firm
Truelogic, a leading nearshore staff augmentation services provider with 500 tech talents, is seeking a Senior Data Engineer to join their team in New York. This role is positioned within a financial services firm that specializes in U.S. mortgage loans and investments.
As the Senior Data Engineer, you'll lead the Data Engineering team, focusing on creating and maintaining data pipelines crucial for sales and marketing initiatives. The role involves working with cutting-edge AWS serverless technology to ensure efficient lead management and business growth.
The ideal candidate will have strong Python programming skills, experience with AWS Glue and Appflow, and a deep understanding of ETL processes. You'll be responsible for designing robust data pipelines, collaborating with cross-functional teams, and ensuring data quality and reliability.
This is an excellent opportunity for a seasoned data engineer who wants to make a significant impact in the financial services sector. You'll work in a forward-thinking environment, contributing to a comprehensive mortgage platform while utilizing modern cloud technologies and best practices in data engineering.
The role offers the chance to work with a diverse team across Latin America and the United States, contributing to projects that drive digital transformation. You'll be instrumental in building scalable solutions that process and enrich sales and marketing lead data, directly impacting the company's growth and success.
Responsibilities For Senior Data Engineer (Python) - Financial Services Firm
- Design, develop, and maintain robust data pipelines using AWS Glue, Appflow, and other relevant services
- Partner with sales, marketing, data engineers, and data scientists to understand lead data requirements
- Develop and execute data transformation logic using Python
- Test and validate data pipelines to guarantee accuracy, reliability, and performance
- Monitor data pipelines, identify bottlenecks, and implement optimizations
- Architect and maintain a scalable, resilient data infrastructure
- Keep abreast of emerging trends and technologies in data engineering
Requirements For Senior Data Engineer (Python) - Financial Services Firm
- Proficiency in Python programming
- Experience with Tealium
- Expertise in AWS Glue and Appflow
- Solid understanding of data transformation and ETL processes
- Demonstrated experience in building and managing data pipelines that support sales and marketing functions
- Experience in working with Snowflake and relational Database
