Advanced Data Architectural Specialist

2 weeks ago

Ellore, Andhra Pradesh, India beBeeDataEngineer Full time ₹ 2,00,00,000 - ₹ 3,00,00,000

About Foodsmart:

We provide a leading telenutrition and foodcare solution, backed by a robust network of Registered Dietitians. Our platform fosters healthier food choices, drives lasting behavior change, and delivers long-term health outcomes.

Our 2.2 million members are guided on a tailored journey to eating well while saving time and money through our personalized, digital platform.

The platform seamlessly integrates dietary assessments and nutrition counseling with online food ordering and cost-effective meal planning for the entire family, optimizing ingredients both at home and on the go.

We partner with national and regional retailers across the U.S., making healthier food more accessible. Additionally, we assist members with SNAP enrollment and management, providing tangible access to nutritious food.

We aim to make nutritious food accessible and affordable for everyone, regardless of economic status.

Core Values

  • Measurable: We make data-driven decisions.
  • Impactful: We are driven by achieving our mission and vision.
  • Collaborative: We help each other be better and create a positive environment.
  • Hungry: We maintain a growth mindset, seeking to overcome challenges with courage.
  • Joyful: We take joy in each other, our work, and the privilege of doing this work.

The Senior Data Engineer is responsible for constructing and optimizing our data pipeline architecture, collaborating closely with data scientists and analysts to facilitate data-related functionalities.

You will lead the optimization and scalability of data delivery pipelines, ensuring performance and reliability for cross-functional stakeholders.

You will architect, build, and maintain robust, high-throughput data pipelines and infrastructure to support advanced analytics and machine learning.

You will partner with data architects, data scientists, and analysts to design solutions that meet evolving data requirements and business objectives.

You will establish best practices for data quality, governance, security, and compliance; implement automated frameworks for cleaning, validation, correction, and enrichment.

You will drive continuous improvement in data engineering processes by identifying bottlenecks, reducing manual effort through automation, and advancing scalability standards.

You will mentor junior engineers, provide technical guidance, and influence broader data platform strategy.

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