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Job Description: Senior Software Engineer for Databricks

Overview

The Senior Software Engineer for Databricks is responsible for designing, implementing, and managing Databricks solutions to support the organization's data and analytics needs. This role requires a minimum of 5 years of overall experience in software engineering, with at least 3 years of hands-on experience with Databricks application. The ideal candidate will have extensive experience in managing Databricks on Azure Cloud, Continuous Integration and Continuous Deployment (CI/CD) and Terraform. The Senior Software Engineer will work closely with data architects, data scientists, and data analysts to ensure the effective implementation and management of Databricks solutions.

Key Responsibilities

* Design, develop, and implement Databricks solutions to support data integration, analytics, and business intelligence requirements.
* Collaborate with data architects, data scientists, and data analysts to understand data requirements and to ensure Databricks solutions meet business needs.
* Manage and optimize Databricks environments, including performance tuning, scaling, and cost management.
* Develop and maintain CI/CD pipelines for Databricks projects using tools like Jenkins, GitHub Actions, or Azure DevOps.
* Implement infrastructure as code (IaC) solutions using Terraform to automate the deployment and management of Databricks resources on Azure Cloud.
* Perform data cleansing, transformation, and integration tasks to ensure data quality and integrity within Databricks.
* Integrate third-party application data into Databricks, ensuring seamless data flow and compatibility.
* Monitor and troubleshoot Databricks jobs, clusters, and workflows, and provide technical support and guidance to other team members.
* Evaluate and recommend new tools, technologies, and best practices to enhance Databricks implementations and data management processes.
* Develop and maintain documentation for Databricks solutions, including architecture diagrams, data flow diagrams, and technical specifications.
* Stay current with industry trends, emerging technologies, and best practices in Databricks, data engineering, and data management.

Qualifications

* Bachelor's or master’s degree in Computer Science, Information Systems, or a related field.
* Minimum of 5 years of overall experience in software engineering, with at least 3 years of hands-on experience with Databricks application.
* Extensive experience in CI/CD processes and tools, such as Jenkins, GitHub Actions, or Azure DevOps.
* Proficiency in managing Databricks on Azure Cloud, including performance tuning, scaling, and cost management.
* Strong knowledge of data integration, transformation, and analytics processes within Databricks.
* Proficiency in programming languages, such as SQL, Python, or Scala.
* Familiarity with data modeling, data quality, and data governance concepts and best practices.
* Familiarity with Terraform IaC is beneficial.
* Excellent problem-solving and analytical skills.
* Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.