Data Architect Specialist

1 day ago

Varanasi, Uttar Pradesh, India beBeeData Full time US$ 1,40,000 - US$ 1,70,000

About our organization:

We are a leading health and wellness company that empowers people to make healthier food choices. Our mission is to provide accessible and affordable nutritious food for everyone, regardless of economic status.

Our team is committed to driving lasting behavior change and delivering long-term health outcomes. We partner with national and regional retailers across the U.S. to make healthier food more accessible.

We are a data-driven organization that relies on technology and innovation to achieve our goals. Our platform guides members on a personalized journey to eating well while saving time and money.

At our core, we value collaboration, ownership, and technical excellence. We believe in bridging business needs with technical solutions and supporting stakeholders at all levels.

The ideal candidate will have a proven track record of leading large-scale, complex projects in data engineering. They will be responsible for constructing and optimizing our data pipeline architecture, ensuring performance and reliability for cross-functional stakeholders.

Job Responsibilities:
  • Design, build, and maintain highly scalable data pipelines and infrastructure to support advanced analytics and machine learning.
  • 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; implement automated frameworks for cleaning, validation, correction, and enrichment.
  • Mentor junior engineers, provide technical guidance, 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.
Benefits:
  • Opportunity to work on a cutting-edge platform that drives lasting behavior change.
  • Collaborative and dynamic work environment.
  • Professional growth and development opportunities.

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