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Enabling Access
Senior Data Engineer
Location
India
Posted
120 days ago
Salary
0
Seniority
Senior
Job Description
Senior Data Engineer
PRECISIONvalue
• Build and Maintain Bronze/Silver Layer Pipelines: You will ensure core data sources lands accurately, on time, and with full lineage. • Lead Data Ingestion, Transformation, and Enrichment: You will own the end-to-end pipeline from raw file landing through cleansed, conformed staging tables, including deduplication, standardization, code mapping, and entity resolution. • Develop Automated Ingestion Pipelines: You will use Snowpipe, Matillion, or custom solutions with reliability, observability, and minimal manual intervention in mind. • Implement dbt Models: You will write clean, tested, documented SQL that follows medallion architecture patterns and supports incremental processing at scale. • Establish Scalable Engineering Patterns: You will create reusable templates, macros, and testing frameworks that accelerate onboarding of new data sources without sacrificing quality. • Ensure Data Quality and Observability: You will implement dbt tests, freshness checks, and anomaly detection. You will own the pipeline reliability and respond to data quality incidents. • Collaborate with the Architect and Stakeholders: You will translate business requirements into technical specifications, participate in design reviews, and contribute to ADRs, and you will ensure pipelines align with enterprise standards.
Job Requirements
- 5+ years of professional data engineering experience, with at least 3 years working in modern cloud data environments
- 2+ years hands-on experience with Snowflake, including performance tuning, Snowpipe, and Snowflake-specific optimization patterns
- 2+ years working with dbt (Core or Cloud) in production environments, including incremental models, testing, documentation, and package management
- Demonstrated experience with healthcare data. You understand ICD-10, NPI, NDC codes, and the messy realities of claims data quality
- Production experience with orchestration tools, such as Airflow, Dagster, or similar. You’ve built and maintained DAGs that run reliably at scale
- Strong SQL skills. You write efficient, readable, well-structured SQL and can debug complex query performance issues
- Python proficiency for data processing, scripting, and pipeline automation
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
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