High-Performance Data Architect

16 hours ago

Amrāvati, Maharashtra, India beBeeDataEngineer Full time US$ 2,00,000 - US$ 2,50,000

About Us:

We are a leading provider of innovative telenutrition and foodcare solutions. Our platform is guided by a robust network of Registered Dietitians, empowering members to make informed decisions about their diet and lifestyle.

Our mission is to make nutritious food accessible and affordable for everyone, regardless of economic status. We achieve this through a combination of dietary assessments, nutrition counseling, online food ordering, and cost-effective meal planning.

Our core values drive our culture and work environment:

  • Measured Approach: We rely on data-driven decision making to drive our strategy.
  • Impactful Results: We strive to achieve tangible outcomes that align with our mission and vision.
  • Collaborative Environment: We foster an open and supportive atmosphere where team members can thrive.
  • Adaptable Mindset: We cultivate a growth mindset, embracing challenges as opportunities for growth and learning.
  • Employee Engagement: We prioritize the well-being and job satisfaction of our employees.

About the Role:

The Senior Data Engineer will play a critical role in designing and optimizing our data pipeline architecture. This individual will collaborate closely with data scientists and analysts to develop and implement data-related functionalities.

This position requires leadership and technical expertise to optimize and scale data delivery pipelines, ensuring high performance and reliability for cross-functional stakeholders.

The successful candidate will be responsible for architecting, building, and maintaining robust, high-throughput data pipelines and infrastructure to support advanced analytics and machine learning.

In addition, this role will involve partnering with data architects, data scientists, and analysts to design solutions that meet evolving data requirements and business objectives.

This includes establishing best practices for data quality, governance, security, and compliance; implementing automated frameworks for cleaning, validation, correction, and enrichment.

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

This position also involves mentoring junior engineers, providing technical guidance, and influencing broader data platform strategy.

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