Job Title: Senior Data Engineer - Azure Databricks
Key Skills: Azure Databricks, DBT, Snowflake, Python, SQL, Terraform
Experience: 5+ YOE.
Location: Costa Rica, Peru, Colombia, and Bolivia.
Mode: Remote.
We at Coforge are hiring Senior Data Engineer - Azure Databricks (#22146) with the following skill set.
Key Responsibilities
Own the end-to-end delivery of data pipelines and data products from design through deployment and production support.
Develop, maintain, and optimize scalable data pipelines using Azure Databricks, DBT, and Python.
Support and execute large-scale data migrations from Snowflake (AWS) to Azure Databricks.
Build and manage infrastructure-as-code solutions using Terraform.
Ensure seamless integration across enterprise data platforms and environments.
Implement data quality frameworks, testing, and validation processes.
Enable observability through monitoring, logging, and alerting solutions.
Contribute to the design of scalable data architectures aligned with Lakehouse principles.
Monitor and support production environments,
ensuring performance and reliability.
Collaborate with cross-functional teams and mentor junior engineers through best practices and code reviews.
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 observabil
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