Description:

Join Tiger Analytics, a fast-growing advanced analytics consulting firm, as a Senior Data Engineer.
Responsible for designing, building, and maintaining scalable data pipelines and infrastructure on AWS cloud.
Collaborate with data scientists, analysts, and AI teams to support analytics and machine learning initiatives.

Requirements:

Experience with Azure Data Factory, Azure Synapse, and Azure Databricks for ETL/ELT pipelines.
Knowledge of secure enterprise cloud storage (ADLS Gen2, Delta Lake, relational/NoSQL databases).
Ability to process high-volume batch data and real-time streaming workloads.
Proficiency in optimizing database queries and data pipeline performance.
Experience in data governance and automated data quality validation.
Familiarity with Azure Role-Based Access Control (RBAC) and encryption standards.
Skills in automating infrastructure deployments using Azure DevOps and CI/CD practices.

Significant career development opportunities as the company grows.
Opportunity to work in a challenging and entrepreneurial environment with high individual responsibility.

Skills