Data Engineer 2
WebSenor (company site, opens in a new tab)3–5 yrsNoidaHybridDirect career pageEst. 6–12 LPA
Posted on 5 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, maintain, and support scalable ETL/ELT data pipelines for enterprise data processing and analytics.
- Perform data ingestion, transformation, integration, and validation while ensuring data quality and pipeline performance.
- Collaborate with global teams to support investigative analytics (e.g., fraud, waste, abuse) and enhance data models and workflows across production and non-production environments.
Minimum Requirements
- 3–5 years of experience in Data Engineering or related roles involving enterprise-scale data pipelines.
- Bachelor’s degree in Computer Science, IT, Engineering, Data Science, or related field.
- Strong SQL skills including complex queries, optimization, transformation, and validation.
- Experience with modern cloud data platforms (e.g., Snowflake), ETL/ELT practices, and hybrid remote work location in Noida.
Ideal Candidate Profile
- Experienced in supporting investigative analytics use cases like fraud, waste, and abuse, preferably in the healthcare domain.
- Proficient in cloud data platforms, distributed processing, data validation, and pipeline orchestration tools (e.g., Airflow, Azure Data Factory).
- Comfortable working in offshore delivery or managed services environments with a production support mindset and collaborative style.