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Data Engineer 2
WebSenor InfoTech
Actively HiringFull-time
Location
UP, IN
Experience
3-5 years
Role
Data Engineer 2
Salary
Competitive
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Job Description
Role Overview
We are seeking skilled Data Engineer I professionals to support enterprise data engineering and advanced analytics initiatives. The role will focus on designing, developing, maintaining, and supporting data pipelines, ETL/ELT processes, and analytics workflows across modern data platforms. The ideal candidate will have strong foundational experience in data engineering, SQL, data transformation, cloud data platforms, and data quality practices.
Responsibilities
- Design, develop, test, and maintain scalable ETL/ELT pipelines supporting enterprise data processing and analytics requirements.
- Perform data ingestion, extraction, transformation, and integration across multiple datasets and business domains.
- Develop and optimize SQL queries for data processing, reporting, and analytical workloads.
- Support data platform operations, production processes, and ongoing enhancements.
- Collaborate with business, analytics, and data teams to explore and analyze enterprise datasets and support investigative analytics initiatives.
- Implement data validation checks and ensure data quality, consistency, and completeness across pipelines and datasets.
- Monitor pipeline performance, troubleshoot failures, and resolve data-related issues.
- Participate in technical discussions, code reviews, documentation, and knowledge-sharing activities.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.
- 3–5 years of experience in Data Engineering or related roles.
- Hands-on experience developing and supporting enterprise-scale data pipelines.
- Experience working with large datasets and complex data processing environments.
- Strong SQL skills including complex queries, query optimization, and data transformation.
- Experience with modern data platforms such as Snowflake or cloud-based data warehouses.
Skills
- SQL
- Snowflake
- ETL/ELT
- Data Engineering
- Cloud Data Platforms
Nice to Have
- Experience supporting Fraud, Waste, and Abuse (FWA) analytics.
- Healthcare domain experience (Claims, Provider, or Clinical data).
- Exposure to data pipeline orchestration tools such as Airflow or Azure Data Factory.
- Familiarity with AI-enabled data engineering or analytics productivity tools.
Required Skills
SQLSnowflakeETL/ELTData EngineeringCloud Data Platforms
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