Senior Data Engineer (Python) - Financial Services Firm (ID: 2324)

Truelogic is a leading provider of nearshore staff augmentation services, located in New York. Our team of 500 tech talents is driving digital disruption from Latin America to the top projects in U.S. companies. Truelogic has been helping companies of all sizes to achieve their digital transformation goals.

Would you like to make innovation happen? Have you ever dreamed of building Products that impact millions of users? Nice! Then we have a seat for you on our team!

What are you going to do?

You will have the opportunity to work in a forward-thinking and growth-oriented environment, at a financial services firm with a comprehensive mortgage platform and integrated business focused on the production and servicing of U.S. mortgage loans and the management of investments related to the U.S. mortgage market. 

Occupy a unique position in the market, as a Senior Data Engineer to spearhead our Lead Data Engineering team. You'll play a pivotal role in crafting and upholding the data pipelines that fuel our sales and marketing efforts, ensuring a steady stream of high-quality leads that drive business growth. You'll achieve this by utilizing cutting-edge AWS serverless technology.

• Architect and Implement: Design, develop, and maintain robust data pipelines, leveraging AWS Glue, Appflow, and other relevant services, with a focus on capturing, processing, and enriching sales and marketing lead data.

• Collaborate: Partner with sales, marketing, data engineers, and data scientists to understand lead data requirements and translate them into effective pipeline designs.

• Transform Data: Develop and execute data transformation logic using Python, ensuring lead data integrity, quality, and readiness for use by sales and marketing teams.

• Ensure Reliability: Rigorously test and validate data pipelines to guarantee accuracy, reliability, and performance, minimizing disruptions to lead flow.

• Monitor and Optimize: Proactively monitor data pipelines, identify bottlenecks, and implement optimizations to maintain seamless lead data operations.

• Build for Scale: Collaborate with fellow engineers to architect and maintain a scalable, resilient data infrastructure capable of handling growing lead volumes.

• Stay Ahead: Keep abreast of emerging trends and technologies in data engineering, with a particular focus on advancements related to sales and marketing lead management.

What will help you succeed

• Proficiency in Python programming.

• Experience with Tealium

• Expertise in AWS Glue and Appflow.

• Solid understanding of data transformation and ETL processes, especially as they relate to lead data.

• Demonstrated experience in building and managing data pipelines that support sales and marketing functions.

• Experience in working with Snowflake and relational Database.