Key Responsibilities :
Data Modeling :
- Design and develop data models for Azure-based data solutions, including data lakes , data warehouses , and data pipelines .
Data Architecture :
Collaborate with data architects and engineers to define data architecture patterns and implement Azure best practices .Data Ingestion :
Create and implement data ingestion strategies to ensure efficient collection, processing, and storage of data.ETL Development :
Build and optimize ETL processes using tools like Azure Data Factory and Databricks to support business needs.Data Quality :
Implement data validation and cleansing routines to maintain data accuracy and integrity.Data Governance :
Ensure data solutions adhere to governance and security policies , including access controls and encryption standards.Performance Optimization :
Monitor and optimize performance of data models, queries, and processing workflows.Documentation :
Maintain detailed documentation for data models, schemas, pipelines, and flow diagrams .Cross-Functional Collaboration :
Work closely with data engineers, scientists, analysts, and business stakeholders to understand requirements and deliver solutions.Qualifications :
Bachelor's degree in Computer Science, Information Technology, or related field3–5 years of experience in data engineering , with a focus on Azure platformsProficiency in data modeling tools and query languages (e.g., SQL )Strong hands-on experience with Azure Data Factory , Azure Databricks , and Power BISolid understanding of data lakes , data warehouses , and data integrationKnowledge of Azure Synapse , Data Lake Storage , and SQL Data WarehouseStrong problem-solving and analytical thinking abilitiesExcellent communication and team collaboration skillsSkills Required
Azure Data Factory, Azure Databricks, Sql, Data Modeling, Data Warehousing, Data Lake, Etl Development