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 EngineerSkills Required: Data Engineering, Airflow, Talend or Informatica, SQL, Python, Medallion Architecture.Experience: 9.5 Years-14 YearsMode 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 emailJob 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 issues1. 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

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