Lead Data Engineer - Airflow/SQL/Python

Key Responsibilities :

1. Data Pipeline Development & ETL/ELT :

- Expertise in building robust ETL/ELT pipelines using tools like Apache Airflow, Talend, or Informatica

- Ability to transform raw healthcare data into structured formats for analytics and AI models

2. Cloud Platform & Big Data Technologies :

- Proficiency in AWS, Azure, or GCP for cloud-native development

- Experience with big data frameworks such as Spark, Hadoop, Hive

3. Healthcare Data Standards & Compliance :

- Familiarity with HIPAA, HL7, and FHIR standards

- Ability to ensure secure and compliant data handling across systems

4. AI & Machine Learning Integration :

- Support for AI/ML model deployment and data preparation

- Understanding of model monitoring, feature engineering, and real-time datastreaming

5. Technical Leadership :

- Lead team to deliver planned commitments on time

- Learn, understand and leverage cutting edge technologies to gain competitive advantage

- Creatively brainstorm and innovate on prototypes as well as future products and features to drive the business forward

- Proactively research industry trends and best practices to apply them as necessary

- Deliver high-quality and on-schedule work according to Agile software development methodology

- Participate in Agile activities including daily stand ups, estimations, and backlog grooming and reviews

- Provide internal development support which includes delivering fast and high- quality fixes to urgent production issues

6. Database Management & Optimization :

- Strong SQL skills for complex queries, joins, and performance tuning

- Experience with relational and NoSQL databases (e.g., PostgreSQL, MongoDB)

Required Qualifications :

Education & Experience :

- Bachelors or Masters degree in Computer Science, Data Science, or related field

- 4 years of experience in data engineering, preferably in healthcare or SaaS

- Experience with cloud platforms, data pipeline tools, and healthcare data standards

- Exposure to AI/ML workflows and real-time analytics is a plus

Other Preferred Knowledge, Skills, Abilities or Certifications :

- Cloud Certifications : AWS Data Analytics, Azure Data Engineer, Google Cloud Data Engineer

- Streaming & Real-Time Data : Apache Kafka, Spark Streaming, Flink

- Data Ops & Automation : Airflow, dbt, CI/CD for data workflows

- Security & Compliance : HIPAA, GDPR, CCPA, data encryption

- Advanced Databases : PostgreSQL, MongoDB, Cassandra, DynamoDB

- AI/ML Support : Feature engineering,