Transformative Data Solutions Engineer

3 days ago

Aligarh, Uttar Pradesh, India beBeeData Full time US$ 1,80,000 - US$ 2,50,000

At our organization, we strive to make nutritious food accessible and affordable for everyone.

We believe in fostering a culture that values teamwork, continuous learning, and innovation. As a key member of our team, you will play a vital role in helping us achieve our mission.

The Senior Data Engineer is responsible for constructing and optimizing our data pipeline architecture, collaborating closely with cross-functional teams to facilitate data-related functionalities. This critical role involves designing, building, and maintaining highly scalable data pipelines, optimizing data delivery, and automating data processes.

Key Responsibilities:
  • Lead the optimization and scalability of data delivery pipelines, ensuring performance and reliability for cross-functional stakeholders.
  • Architect, build, and maintain robust, high-throughput 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.
  • Drive continuous improvement in data engineering processes by identifying bottlenecks, reducing manual effort through automation, and advancing scalability standards.
  • Mentor junior engineers, provide technical guidance, and influence broader data platform strategy.

You are a proactive leader who drives efficient data delivery, infrastructure evolution, and technical excellence. You are quality-oriented, with a strong sense of ownership over data reliability and accessibility. Your experience in secure, compliant data handling practices in regulated environments is valuable. Additionally, your collaborative nature and ability to bridge business needs with technical solutions make you an excellent fit for this role.

As a Senior Data Engineer, you will have 6+ years of professional experience in data engineering, with a proven track record of leading large-scale, complex projects. You possess deep expertise in modern cloud data warehouses (Snowflake, Redshift, or BigQuery). Advanced SQL skills and strong experience with relational and columnar database systems are essential. Your proficiency in data pipeline/workflow orchestration tools (e.g., Apache Airflow, Dagster, Luigi) is also important. Solid programming background (Python, Scala, or Java) for data processing and automation is required. Experience designing data models and schemas for both operational and analytical use cases is crucial.

Our ideal candidate has strong analytical and problem-solving skills, thriving in fast-paced, high-growth environments. Familiarity with healthcare data standards (FHIR, HL7) or other regulated data domains is a plus. A Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (Master's degree preferred) is necessary.

Why Join Us?

At our organization, we offer a dynamic work environment that fosters growth, collaboration, and innovation. Our commitment to making nutritious food accessible and affordable for everyone aligns with your passion for improving lives through technology. By joining our team, you will be part of a community that shares your values and is dedicated to achieving our mission.

Join us in shaping the future of data-driven initiatives and contributing to a healthier, more sustainable world.

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