Position: Senior Data Engineer- Snowflake DBT

Purpose of the Position: This role seeks candidate who is passionate about building and optimising cloud-based data platform that support modern analytics initiatives. You will assist in implementing scalable Snowflake data pipeline building efficient ingestion, transformation workflows, and supporting migration from legacy ETL system to dbt-driven ELT architectures. The role contributes to improving data accessibility, performance, and consistency across enterprise analytics environment.

Location: Pune/ Nagpur/ Chennai/ Bangalore

Type of Employment: Full-time

Key Result Areas and Activities:

DBT Architecture Strategy & Standardization - Define enterprise dbt architecture standards, layering conversions, naming framework, and modular transformation design approaches supporting large scale modernisation programmes.
Code conversion, refinement and optimization – Convert complex SSIS transformations into dbt staging/intermediate/mart models, review and validate tool converted dbt transformations to ensure accuracy maintainability alignment with enterprise modelling standards.
Legacy ETL Migration Enablement – Lead transformation strategies of migrating SSIS pipelines to dbt-based ELT framework while ensuring consistency scalability and maintainability.
Reusable Framework & Accelerator Development - Establish micros libraries, reusable template migration accelerator to improve delivery efficiency across multiple transformation streams.
Data Quality & Validation Strategy - Define reconciliation strategies/methodologies, parallel-run validation framework, and transformation testing standard supporting enterprise analytics reliability.
Performance Alignment with Snowflake Platform - Collaborate with snowflake engineering teams to optimise execution strategy clustering approaches and warehouse utilization.
Governance, CI/CD & Delivery Oversight -Establish version control standards, CI/CD integration practice as, and documentation framework supporting controlled migration execution.
Documentation and lineage support - Maintain transformation documentation, mapping logic, testing evidence, and lineage metadata to support governance and audit readiness.
Collaboration & Delivery Support - Work closely with Snowflake engineers, QA team and client stakeholders to resolve transformation discrepancies and ensure timely migration delivery