Data Engineering Specialist

20 hours ago

Kozhikode, Kerala, India beBeeDataEngineering Full time ₹ 1,50,00,000 - ₹ 2,02,50,000

About Us:

We are a leading provider of innovative solutions in the food and nutrition space. Our platform is designed to empower individuals to make healthier choices, promoting lasting behavior change and long-term health outcomes.

Our mission is to make nutritious food accessible and affordable for everyone, regardless of economic status. We strive to create a positive impact on society through our work.

About the Role:

Data Engineering Specialist

This critical role involves designing and optimizing data pipeline architecture, collaborating closely with data scientists and analysts to facilitate data-related functionalities.

The Data Engineering Specialist will design, build, and maintain highly scalable data pipelines, optimizing data delivery and automating data processes. They will work closely with cross-functional teams to ensure efficient data flow and contribute to the success of our data-driven initiatives.

  • Optimize and scale data delivery pipelines for performance and reliability.
  • Architect, build, and maintain robust, high-throughput data pipelines and infrastructure.
  • Partner with data architects, data scientists, and analysts to design solutions that meet evolving data requirements and business objectives.
  • Establish best practices for data quality, governance, security, and compliance.
  • Drive continuous improvement in data engineering processes.

You will be a proactive leader who drives efficient data delivery, infrastructure evolution, and technical excellence. You must have a strong sense of ownership over data reliability and accessibility. You should be experienced in applying secure, compliant data handling practices in regulated environments.

Requirements:

  • 6+ years of professional experience in data engineering.
  • Deep expertise in modern cloud data warehouses (Snowflake, Redshift, or BigQuery).
  • Advanced SQL skills and experience with relational and columnar database systems.
  • Proficiency in data pipeline/workflow orchestration tools.
  • Solid programming background for data processing and automation.
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (Master's degree preferred).

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