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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.

Average salary estimate

$135000 / YEARLY (est.)
min
max
$120000K
$150000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Senior Data Engineer (Python) - Financial Services Firm (ID: 2324), Truelogic

Join Truelogic as a Senior Data Engineer (Python) and be part of a passionate team driving innovation in the financial services sector! We are a premier provider of nearshore staff augmentation services, and we pride ourselves on helping companies achieve their digital transformation goals. In this dynamic role, you’ll work at the forefront of a comprehensive mortgage platform that supports the production, servicing, and investment management within the U.S. mortgage market. Your expertise will be crucial as you lead our Data Engineering team, crafting and maintaining the data pipelines essential for our sales and marketing operations. You'll leverage the latest AWS serverless technologies, ensuring a constant flow of quality leads that fuel our business growth. Collaborating closely with diverse teams, you'll design robust data pipelines using AWS Glue and Appflow, transform data using your Python skills, and ensure the reliability of our systems through rigorous testing. Performance monitoring and process optimization will become second nature as you strive to enhance our lead data operations and build a scalable data infrastructure. If you love innovation and want to make a real impact, we want to hear from you!

Frequently Asked Questions (FAQs) for Senior Data Engineer (Python) - Financial Services Firm (ID: 2324) Role at Truelogic
What are the main responsibilities of a Senior Data Engineer (Python) at Truelogic?

As a Senior Data Engineer (Python) at Truelogic, you'll design, develop, and maintain data pipelines focused on sales and marketing lead data. Your role will involve using AWS Glue, Appflow, and Python for data transformation, ensuring data integrity and optimizing performance. You will also collaborate with various teams to translate lead data requirements into effective solutions and proactively monitor operations for reliability.

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What qualifications are required for the Senior Data Engineer (Python) role at Truelogic?

The Senior Data Engineer (Python) role at Truelogic requires proficiency in Python programming, hands-on experience with AWS Glue and Appflow, and a solid understanding of ETL processes tailored towards lead data. Demonstrated experience in building data pipelines, familiarity with Tealium, and working knowledge of Snowflake and relational databases are also essential for success in this position.

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What technologies should a Senior Data Engineer (Python) at Truelogic be familiar with?

A Senior Data Engineer (Python) at Truelogic should be well-versed in AWS technologies, particularly AWS Glue and Appflow. Familiarity with Tealium for data management, along with experience in Python programming for data transformation, is crucial. Understanding Snowflake and relational databases will also be beneficial to effectively develop and manage data pipelines supporting our marketing efforts.

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How does Truelogic support career development for Senior Data Engineers?

At Truelogic, we emphasize continuous learning and professional growth for our teams. As a Senior Data Engineer (Python), you’ll have access to training resources, mentorship programs, and opportunities to work on cutting-edge projects that not only enhance your technical skills but also elevate your career trajectory in the fast-evolving tech landscape.

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What does the work culture look like for a Senior Data Engineer (Python) at Truelogic?

Truelogic boasts a collaborative and forward-thinking work culture that encourages innovation and teamwork. As a Senior Data Engineer (Python), you'll be part of a diverse team dedicated to tackling challenges together, sharing ideas, and driving impactful results in the financial services industry. Our environment values creativity and prioritizes the professional development of all team members.

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Common Interview Questions for Senior Data Engineer (Python) - Financial Services Firm (ID: 2324)
What experience do you have with Python in data engineering?

Discuss specific projects where you utilized Python for data transformation and pipeline development. Highlight your familiarity with libraries such as Pandas and NumPy as well as any frameworks or tools you've used in conjunction with them.

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Can you explain your process for designing data pipelines?

Walk through your approach to understanding the data requirements, identifying necessary data sources, and outlining the architecture. Emphasize collaboration with stakeholders and highlight any tools or frameworks you utilize during this process.

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What is your experience with AWS Glue and Appflow?

Be ready to share your experience setting up data pipelines using AWS Glue and how you have managed data transfers with Appflow. Include any challenges you faced and how you resolved them, showcasing your problem-solving skills.

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How do you ensure the quality and integrity of data?

Discuss your strategies for testing and validating data pipelines, including the types of tests you implement (unit tests, integration tests, etc.) and how you monitor data accuracy post-deployment.

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How do you optimize data flow in pipelines?

Explain your methods for identifying bottlenecks in data pipelines and the steps you take to address them. Mention any tools you use for monitoring performance and the metrics you consider.

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Describe your experience with ETL processes.

Provide examples of ETL processes you've designed or executed and detail your involvement in each stage. Emphasize your proficiency in extracting data from sources, transforming it, and loading it efficiently.

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How do you collaborate with marketing and sales teams as a Senior Data Engineer?

Share your approach to understanding their goals and data needs through regular communication and feedback, which helps you create effective solutions that meet their specific requirements.

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What tools or techniques do you use for data transformation?

Discuss your preferred tools and scripting languages for data transformation, emphasizing how you adapt your approach based on specific project needs and data types.

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Can you give an example of a challenging data project you worked on?

Detail a specific project, focusing on the unique challenges it presented, your problem-solving strategies, and the successful outcomes resulting from your efforts.

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What emerging trends in data engineering do you find most exciting?

Share insights on recent trends such as serverless computing, real-time data processing, or the use of machine learning in data pipelines. Explain how you plan to incorporate these trends into your work as a Senior Data Engineer.

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Full-time, on-site
DATE POSTED
November 30, 2024

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