Required Skills & Qualifications
· 5 to 8+ years of experience in Data Engineering within enterprise-scale environments.
· Strong hands-on expertise with Azure Databricks, DBT, and Snowflake.
· Strong proficiency in Python and SQL.
· Proven experience building and managing large-scale data pipelines and transformations.
· Experience working with high-volume datasets and complex data models.
· Solid understanding of data modeling, ETL/ELT frameworks, distributed systems, and Lakehouse architectures.
· Experience with Terraform and Infrastructure as Code (IaC) principles.
· Strong experience with CI/CD pipelines and Git-based version control.
· Experience supporting production systems, including monitoring, alerting, and incident resolution.
· Knowledge of data quality, testing, and observability frameworks.
· Excellent analytical, problem-solving, and communication skills.