Lead Data Engineer

Intelex

Bengaluru, India
Bonus eligible; equity not specified; base salary ...
**
10-14 years of data engineering experience
Expertise in building robust etl/elt pipelines
Proficiency in aws, azure, or gcp cloud platforms
** Intelex is seeking a Lead Data Engineer in Bengaluru, India, to design and maintain data pipelines for healthcare SaaS applications. The ideal candidate will have extensive experience in data engineering, particularly in the healthcare sector, and will lead technical initiatives while ensuring data integrity and compliance. **

Job Summary

  • The role involves designing and maintaining scalable data pipelines to support AI-driven healthcare SaaS applications.
  • Candidates must ensure data integrity, security, and compliance with standards such as HIPAA, HL7, and FHIR.
  • This position is eligible for bonus as part of the total compensation package.

Matching Summary

Match Score: 75

** Intelex is seeking a Lead Data Engineer in Bengaluru, India, to design and maintain data pipelines for healthcare SaaS applications. The ideal candidate will have extensive experience in data engineering, particularly in the healthcare sector, and will lead technical initiatives while ensuring data integrity and compliance. **

Salary

Bonus eligible; Equity not specified; Base salary not specified

Skills & Requirements

Must-have

  • 10-14 years of data engineering experience
  • Expertise in building robust ETL/ELT pipelines
  • Proficiency in AWS, Azure, or GCP cloud platforms
  • Experience with big data frameworks like Spark and Hadoop
  • Familiarity with HIPAA, HL7, and FHIR standards
  • Strong SQL skills for complex queries and performance tuning

Nice-to-have

  • Exposure to AI/ML workflows and real-time analytics
  • Knowledge of Apache Kafka, Spark Streaming, or Flink
  • Experience with DataOps tools like Airflow and dbt
  • Understanding of model monitoring and feature engineering
  • Ability to innovate on prototypes and future products

Key Requirements

  • Bachelor's or Master's degree in Computer Science or related field
  • 10-14 years of experience in data engineering
  • Experience with healthcare or SaaS domains
  • Cloud certifications (AWS, Azure, or Google Cloud) preferred

Work Rights

Not specified

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