Visionary Data Engineering Leader

2 days ago

Kota, Rajasthan, India beBeeDataEngineer Full time ₹ 1,80,00,000 - ₹ 2,30,00,000
Senior Data Engineer Role Summary

This is a critical position responsible for designing, building and maintaining highly scalable data pipelines to facilitate efficient data delivery.

  • The Senior Data Engineer will collaborate closely with cross-functional teams to ensure efficient data flow and contribute to the success of our data-driven initiatives.

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.

Requirements:

  • A proactive leader who drives efficient data delivery, infrastructure evolution, and technical excellence.
  • Quality-oriented, with a strong sense of ownership over data reliability and accessibility.
  • Experienced in applying secure, compliant data handling practices in regulated environments.
  • Collaborative and skilled at bridging business needs with technical solutions, supporting stakeholders at all levels.
  • An expert in data warehouse architecture, dimensional modeling, and automated data engineering at scale.

Preferred Qualifications:

  • 6+ years of professional experience in data engineering, with a proven track record of leading large-scale, complex projects.
  • 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.
  • Experience designing data models and schemas for both operational and analytical use cases.
  • 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.

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