Xebia - Data Engineer - Snowflake DB

Note : If shortlisted, you will be invited for initial rounds on 7th February 2026 (Saturday) in Gurugram

Role : Data Engineer- Snowflake

About the Role :

We are seeking a results-driven Senior Data Engineer with deep expertise in Snowflake and modern
data architecture. The ideal candidate has hands-on experience building high performance data
pipelines, ensuring data quality, managing migrations, and handling multiple Snowflake
environments in a secure and efficient manner. This is a key role to scale our data ecosystem across
domains and geographies.

Key Responsibilities :

- Design, build, and maintain end-to-end data pipelines leveraging Snowflake and Amazon S3 for ingestion, transformation, and storage.

- Develop and enforce data quality frameworks (validation, anomaly detection, alerts) across ingestion and transformation layers.

- Set up and manage multiple Snowflake environments (Dev, Test, QA, Prod) with proper environment isolation, RBAC, and CI/CD practices.

- Lead and execute data migration initiatives from legacy/on-prem databases to Snowflake.

- Optimize Snowflake performance via clustering, materialized views, query profiling, and result caching.

- Develop and manage Snowflake Streams, Tasks, External Tables, File Formats, Stages, and Pipes for near real-time and batch processing.

- Implement Snowflake Snowpipe for continuous and automated data ingestion from S3.

- Manage and optimize virtual warehouses for performance and cost efficiency.

- Build reusable dbt models, implement modular transformations, and integrate into orchestration tools like Airflow or Dagster.

- Integrate Snowflake with BI tools and downstream applications securely using OAuth/JWT, Service Accounts, and External Functions.

- Apply data governance practices, including row-level security, column masking, and tag-based access control.

Required Qualifications :

- 4+ years of experience in data engineering with at least 2+ years focused on Snowflake.

- Strong command of SQL (ANSI, Snowflake SQL dialect) and Python for scripting and transformation.

- Expertise in managing Snowflake features such as :

a. Warehouses, Databases, Schemas, Roles

b. Snowpipe, Streams & Tasks, External Tables

c. Data Sharing, Secure Views, Clustering Keys

- Experience with Snowflake Connector for Python, Snowflake REST API, and Snowflake's Native Apps or UDFs.

- Proficiency with CI/CD pipelines for Snowflake using tools like GitHub Actions

Preferred Qualifications :

- Certified SnowPro Core and/or SnowPro Advanced : Data Engineer.

- Experience working with semi-structured data (JSON, Avro, Parquet) in Snowflake.

- Knowledge of data privacy & governance (e.g., PII handling, GDPR, HIPAA)