Senior Data Engineer - Azure Databricks

• 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 observability frameworks.
• · Excellent analytical, problem-solving, and communication skills.

• Preferred Skills
• · Experience in insurance or financial services environments.
• · Experience with real-time and streaming technologies such as Kafka, Event Hubs, or Delta Live Tables.
• · Knowledge of security, compliance, and data protection standards in regulated industries.
• · Experience with cloud cost optimization and performance tuning.
• · Exposure to multi-cloud or hybrid architectures.

Posted On: 14-08-2026

At Coforge, we hire professionals based solely on their skills and qualifications and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.