Lead Data Scientist

Hope you are having a great week. I work for Bison Global Search, and we're currently seeking a Lead Data Engineer for a Product Company. They work on integrated procedure documentation and workflow automation solutions in healthcare domain.

Please find below details about the role :

Location: Bengaluru, India (Indiranagar)

Company: Product Company (Healthcare Domain)

Mode of work: Hybrid role (3 days)

Designation: Lead Data Engineer

Skills Required: Data Engineering, Airflow, Talend or Informatica, SQL, Python, Medallion Architecture.

Experience: 9.5 Years-14 Years

Mode of Interview: F2F Drive(14th-16th May)

(The US hiring team is flying down exclusively for this hiring drive, Shortlisted candidates will get an opportunity to interact directly with the onsite leadership team.)

Please find below complete JD. If this interests you, please apply to this email

Job Summary:

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

1. 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

1. Healthcare Data Standards & Compliance

Familiarity with HIPAA, HL7, and FHIR standards

Ability to ensure secure and compliant data handling across systems

1. AI & Machine Learning Integration

Support for AI/ML model deployment and data preparation

Understanding of model monitoring, feature engineering, and real-time data streaming

1. 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

1. 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

• Bachelor's or Master's degree in Computer Science, Data Science, or related field

• 10-14 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

DataOps & 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, model monitoring, ML pipeline integration