Full Stack Data Engineer

Job Summary :

We are seeking a Senior Full-Stack Data Engineer to design, develop, and manage scalable data pipelines, storage, and transformation solutions. The role involves working on cloud-based data platforms, data warehouse / lakehouse design, workflow automation, and data integration to support business intelligence and analytics. The ideal candidate will have strong expertise in Snowflake, DBT, and modern data technologies with a focus on performance, security (especially data segregation policies), governance, and automation.

Must-Have Skills (Mandatory) :

• Proven expertise in Snowflake and DBT (hands-on experience required).
• Experience with Snaplogic, ETL / ELT pipelines, APIs, and data integration.
• Strong knowledge of data modeling, architecture, and pipeline optimization.
• Expertise in cloud platforms (AWS / Azure / GCP) and automation (Terraform, CloudFormation).
• Advanced SQL and Python programming skills.
• Hands-on experience with CI / CD tools (Git, GitHub Actions, Jenkins) and containerization (Docker, Kubernetes).
• Knowledge of real-time & batch processing (Kafka, Kinesis, Apache Airflow).
• Proven ability to implement data segregation policies, security (IAM, VPN, Encryption), and compliance (GDPR, CCPA).

Good-to-Have Skills (Optional) :

Qualifications & Experience :