Principal Data Architect

6 hours ago


Mysore, Karnataka, India beBeeDataEngineer Full time US$ 1,95,000 - US$ 2,15,000

About our organization:

Our organization is a leading provider of telenutrition and foodcare solutions. Our platform fosters healthier food choices, drives lasting behavior change, and delivers long-term health outcomes.

We guide our members on a tailored journey to eating well while saving time and money. Our digital platform seamlessly integrates dietary assessments and nutrition counseling with online food ordering and cost-effective meal planning for the entire family.

At our organization, we make nutritious food accessible and affordable for everyone. We're committed to a set of core values that shape our culture and work environment:

  • Measured: Truth-seeking decisions
  • Impactful: Achieving our mission and vision
  • Collaborative: A positive environment
  • Hungry: Overcoming challenges with courage
  • Joyful: Taking joy in each other and our work

The Senior Data Engineering role involves constructing and optimizing data pipeline architecture, collaborating closely with data scientists and analysts to facilitate data-related functionalities. The Senior Data Engineer will design, build, and maintain highly scalable data pipelines, optimizing data delivery, and automating data processes.

Key Responsibilities:

  • Optimize and scale data delivery pipelines for cross-functional stakeholders
  • Architect, build, and maintain robust, high-throughput data pipelines and infrastructure
  • Partner with data architects, data scientists, and analysts to design solutions
  • Establish best practices for data quality, governance, security, and compliance
  • Mentor junior engineers and influence broader data platform strategy

Requirements:

  • 6+ years of professional experience in data engineering
  • Deep expertise in modern cloud data warehouses (Snowflake, Redshift, or BigQuery)
  • Advanced SQL skills and strong experience with relational and columnar database systems
  • Proficiency in data pipeline/workflow orchestration tools (e.g., Apache Airflow, Dagster, Luigi)
  • Solid programming background (Python, Scala, or Java) for data processing and automation


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