Imagine a career where you thrive, work with exceptional people, and be yourself. In this role, you will help shape our modern data architecture and enable scalable, self-service analytics across the organization.

Requirements

Design and implement scalable, efficient data ingestion pipelines using ADF, Informatica, and parameterized notebooks to support bronze-silver-gold (medallion) architecture.
Develop robust ETL/ELT workflows to ingest data from diverse sources (e.g., SQL Server, flat files, APIs) into Parquet/Delta formats and model them into semantic layers in Snowflake.

Build and maintain incremental and CDC-based pipelines to support near-real-time and daily batch processing.
Apply best practices for Snowflake implementation, including performance tuning, cost optimization, and secure data sharing.
Leverage dbt for data transformation and modeling, and implement GitHub-based source control, branching strategies, and CI/CD pipelines for deployment automation.

Ensure data quality, reliability, and observability through validation frameworks and self-healing mechanisms.
Collaborate with data analysts, data scientists, and business stakeholders to deliver clean, trusted, and accessible data.
Mentor junior engineers and contribute to a culture of engineering excellence and continuous improvement.