Azure Data Engineer

# Azure Data Engineer ## Company Overview *Company information is not specified.* ## Job Summary The Azure Data Engineer will be responsible for designing, implementing, and maintaining data engineering solutions within the Azure cloud environment. The role involves the development of robust ETL/ELT pipelines and managing big data processing using various tools and methodologies. This position is crucial for improving data reliability and accessibility for business intelligence and analytics. ## Responsibilities - Develop and implement ETL/ELT pipelines using Azure Data Factory, Azure Databricks, and Azure Synapse. - Work with big data processing approaches and schema-on-read methodologies. - Conduct data modeling and design data architecture for various data solutions. - Collaborate with cross-functional teams to understand data requirements and ensure the integrity of data across multiple systems. - Optimize data storage solutions and query performance using Azure Data Lake Storage (ADLS Gen 2). - Implement reporting solutions and dashboards using tools such as Power BI and Tableau. ## Qualifications - **Education**: Bachelor's degree in Computer Science, Information Technology, or related field. - **Technical Skills**: - Proficiency in Advanced SQL. - Experience with Azure Data Factory (ADF) and Azure Databricks (PySpark). - Knowledge of Azure Synapse is an added advantage. - Strong programming skills in Python and SQL; experience with Power BI DAX is a plus. - **Soft Skills**: Strong analytical and problem-solving abilities, effective communication, and teamwork skills. ## Preferred Skills - Familiarity with reporting tools such as Power BI or Tableau. - Knowledge of data wrangling and data transformation approaches. ## Experience - 4+ years of experience in data engineering, specifically within Azure environments. ## Environment - Remote work arrangement with operational hours from 11 AM to 8 PM. ## Salary *Salary information is not specified.* ## Growth Opportunities *Opportunities for career advancement are not specified.* ## Benefits *Details on benefits are not specified.*