Key Responsibilities

• Build ingestion pipelines from source systems into Snowflake, following
established schema and architecture design • Develop and maintain data
transformation logic using SQL/dbt/Snowflake pipelines, based on defined
business and technical requirements • Build and maintain aggregation and
reporting layers feeding downstream dashboards and reporting tools • Implement
data lineage and audit logging at the pipeline level to support traceability and
compliance • Write and maintain automated tests, including data validation
checks, to catch issues early and ensure pipeline reliability • Tune Snowflake
objects for performance as data volumes and domain coverage grow • Support UAT
activities and resolve defects, refine logic, and iterate based on business and
stakeholder feedback • Document pipelines and data objects to support
maintainability and future extensibility





Required Skills & Experience

• Minimum 5 years of Data and Analytics Engineering experience • Strong SQL and
Python • Hands-on experience with Snowflake Tasks, Streams, Dynamic Tables,
Snowpark • Snowflake Cortex (AI/ML functions within Snowflake) • dbt model
development • Medallion architecture (bronze/silver/gold layering) for pipeline
design • Experience building data pipelines and frameworks with strong data
validation and testing practices • Solid pipeline/ELT engineering fundamentals
— ingestion patterns, schema-on-write discipline, idempotent load design •
Comfortable working within an established architecture and schema, executing to
spec and maintaining best practices

📌 Process Manager (India)
🏢 eClerx
📍 India