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Data Infrastructure Specialist

3 weeks ago

Gandhinagar, Gujarat, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Unlock Your Potential as a Senior Data Engineer

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We are seeking a highly skilled and proactive Senior Data Engineer to lead our data delivery pipeline architecture, collaborating closely with data scientists and analysts to facilitate data-related functionalities.

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This critical role involves designing, building, and maintaining highly scalable data pipelines, optimizing data delivery, and automating data processes. The Senior Data Engineer will work closely with cross-functional teams to ensure efficient data flow and contribute to the success of our data-driven initiatives.

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  • 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.
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You Will Thrive In This Role If:

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  • 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.
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Requirements:

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  • 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.
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (Master's degree preferred).
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