Lead Data Engineer at Vontier

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

17 Jul, 26

Salary

0.0

Posted On

18 Apr, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, ETL/ELT, Apache Airflow, AWS, Azure, GCP, Spark, Hadoop, SQL, PostgreSQL, MongoDB, Healthcare Data Standards, HIPAA, FHIR, Machine Learning, DataOps

Industry

electrical;Appliances;and Electronics Manufacturing

Description

Job Summary: The Data Engineer designs, builds, and maintains scalable data pipelines and infrastructure to support AI-driven healthcare SaaS applications. This role ensures data integrity, security, and compliance while enabling advanced analytics and machine learning capabilities. The Data Engineer collaborates with cross-functional teams to deliver reliable data solutions that improve clinical and operational outcomes. 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

Responsibilities

The Lead Data Engineer designs, builds, and maintains scalable data pipelines and infrastructure to support AI-driven healthcare SaaS applications. They also provide technical leadership to cross-functional teams to ensure high-quality, compliant, and reliable data solutions.