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Highly Skilled Data Architect

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Noida, Uttar Pradesh, India beBeeData Full time ₹ 15,00,000 - ₹ 20,00,000
Data Engineering Job Description

We are seeking a highly skilled and experienced Senior/Lead Data Engineer to join our growing Data Engineering Team.

  • Design, architect, and develop cutting-edge multi-tenant SaaS data solutions hosted on Azure Cloud.
  • Deliver robust, scalable, and high-performance data pipelines and integrations that support our enterprise provider and payer data ecosystem.
  • Mentor and guide junior engineers, help define best practices, and contribute to the overall data strategy.

The ideal candidate will have strong hands-on experience in SQL, Python, and ideally Airflow and Bash. They should be able to architect and implement scalable data integration and data pipeline solutions using Azure cloud services, design, develop, and maintain ETL/ELT processes, and build and automate data workflows and orchestration pipelines.

In addition, the successful candidate will have experience with multi-tenant SaaS data solutions, background in healthcare data, especially provider and payer ecosystems, familiarity with DevOps practices, CI/CD pipelines, and version control systems (e.g., Git), and experience mentoring and coaching other engineers in technical and architectural decision-making.

We are looking for someone with deep experience in ETL/ELT processes, data warehousing principles, and real-time and batch data integrations, who can stay current with emerging technologies and recommend tools or processes to improve the team's efficiency and productivity.

Responsibilities:
  • Architect and implement scalable data integration and data pipeline solutions using Azure cloud services.
  • Design, develop, and maintain ETL/ELT processes, including data extraction, transformation, loading, and quality checks using tools like SQL, Python, and Airflow.
  • Build and automate data workflows and orchestration pipelines; knowledge of Airflow or equivalent tools is a plus.
  • Write and maintain Bash scripts for automating system tasks and managing data jobs.
  • Collaborate with business and technical stakeholders to understand data requirements and translate them into technical solutions.
  • Develop and manage data flows, data mappings, and data quality & validation rules across multiple tenants and systems.
  • Implement best practices for data modeling, metadata management, and data governance.
  • Configure, maintain, and monitor integration jobs to ensure high availability and performance.
  • Lead code reviews, mentor data engineers, and help shape engineering culture and standards.