Description

Candidate Skill:    Azure Data Factory (ADF), Azure Data Lake (ADLS), Azure Synapse, ETL/ELT, SQL, Data Modeling, Python/Scala, Spark/Databricks, Data Warehousing, CI/CD, Git, Data Integration, Performance Optimization
Experience:    8+ Years

Job Description:    We are looking for an experienced Azure Data Engineer to design, develop, and optimize scalable data solutions on Microsoft Azure. The ideal candidate should have strong expertise in data pipelines, data warehousing, and cloud-based data engineering tools. Key Responsibilities: Design and build scalable data pipelines using Azure services Develop and maintain ETL/ELT processes for data integration Work with large datasets to ensure data quality and integrity Implement data warehousing solutions using Azure Synapse or similar tools Optimize data workflows for performance and cost efficiency Collaborate with data scientists and analysts for data requirements Ensure data security, governance, and compliance standards Required Skills: Strong experience with Azure Data Services (ADF, ADLS, Synapse) Proficiency in SQL and data modeling Experience with ETL/ELT tools and processes Knowledge of Python or Scala for data processing Hands-on experience with big data tools (Spark, Databricks) Understanding of data warehousing concepts Experience with version control (Git) and CI/CD pipelines Good to Have: Experience with Power BI for reporting and visualization Knowledge of streaming data (Kafka/Event Hub) Azure certifications (DP-203 or similar) Exposure to Agile/Scrum methodologies

Key Skills

Education

Any Graduate