Senior Data Engineering (Databricks)
Job Title: Senior Data EngineerKey Skills: Databricks, Microsoft Fabric, Python (PySpark), SQL, Azure, LLMLocation: MexicoMode: RemoteWe at Coforge are hiring Senior Data Engineer with the following skill set.Key Responsibilities
Design and implement scalable data pipelines using Databricks and Microsoft Fabric.
Build and maintain a Medallion Architecture (Bronze, Silver, Gold layers) to organize and process data across the organization.
Collaborate with the AI team to ensure high-quality data availability for RAG patterns and LLM components.
Develop and optimize data models that feed directly into the Microsoft Power Platform (Power BI).
Ensure data platform performance and reliability while maintaining a platform-agnostic approach where possible.
Required Skills & Qualifications
Experience with Databricks: Proficiency with Spark, Delta Lake, and workspace management.
Knowledge of Microsoft Fabric: Experience navigating and implementing solutions within the Fabric ecosystem.
Architecture Design: Solid experience implementing Medallion Architecture.
Data Programming: Proficiency in Python (PySpark) and SQL for data transformation and engineering.
Preferred Skills:
Cloud Ecosystem: Experience with the Azure platform and Azure Data Factory.
AI Integration: Familiarity with Vector Databases (e.g., ChromaDB) for LLM support.
Power Platform: Experience preparing data for Power BI and Power Apps consumption.
Domain Knowledge: Familiarity with industrial data or engineering calculations.
DevOps for Data: Experience with CI/CD for data pipelines and version control (Git).
Data Governance: Knowledge of data quality standards and metadata management.
Posted On: 20-05-2026At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Apply To This Job
Design and implement scalable data pipelines using Databricks and Microsoft Fabric.
Build and maintain a Medallion Architecture (Bronze, Silver, Gold layers) to organize and process data across the organization.
Collaborate with the AI team to ensure high-quality data availability for RAG patterns and LLM components.
Develop and optimize data models that feed directly into the Microsoft Power Platform (Power BI).
Ensure data platform performance and reliability while maintaining a platform-agnostic approach where possible.
Required Skills & Qualifications
Experience with Databricks: Proficiency with Spark, Delta Lake, and workspace management.
Knowledge of Microsoft Fabric: Experience navigating and implementing solutions within the Fabric ecosystem.
Architecture Design: Solid experience implementing Medallion Architecture.
Data Programming: Proficiency in Python (PySpark) and SQL for data transformation and engineering.
Preferred Skills:
Cloud Ecosystem: Experience with the Azure platform and Azure Data Factory.
AI Integration: Familiarity with Vector Databases (e.g., ChromaDB) for LLM support.
Power Platform: Experience preparing data for Power BI and Power Apps consumption.
Domain Knowledge: Familiarity with industrial data or engineering calculations.
DevOps for Data: Experience with CI/CD for data pipelines and version control (Git).
Data Governance: Knowledge of data quality standards and metadata management.
Posted On: 20-05-2026At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Apply To This Job