Data Engineer 1
WebSenor (company site, opens in a new tab)5+ yrsNoidaHybridDirect career pageEst. 15–28 LPA
Posted on 5 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable enterprise data pipelines and processing frameworks primarily using Snowflake, Azure, Apache Spark, Databricks, and Airflow.
- Optimize data platform performance, scalability, and security specifically for healthcare data involving compliance and governance.
- Support AI/ML workflows and model deployment integration while collaborating with analytics, data science, and business teams.
Minimum Requirements
- Bachelor’s degree in Computer Science, Engineering, IT, Data Science, or related field.
- Minimum 5 years of experience in Data Engineering roles focusing on enterprise-scale data pipelines and cloud-based distributed processing.
- Strong technical skills with Snowflake, Azure, Apache Spark, Databricks, Python, SQL, Airflow, Kubernetes, and CI/CD tooling (GitHub).
- Work location requirement: Hybrid remote position based in Noida, Uttar Pradesh.
Ideal Candidate Profile
- Experienced operating in enterprise-level healthcare data environments with knowledge of healthcare data standards and security compliance.
- Proficient in building and optimizing large-scale, cloud-native data architectures integrating AI/ML model deployments.
- Comfortable working in collaborative, cross-functional agile teams involving data engineering, analytics, and AI/ML functions.