Job Title

Key Responsibilities:- Design and develop ETL/ELT pipelines using Azure Data Factory, Snowflake, and DBT. - Build and maintain data integration workflows from various data sources to Snowflake. - Write efficient and optimized SQL queries for data extraction and transformation. - Work with stakeholders to understand business requirements and translate them into technical solutions. - Monitor, troubleshoot, and optimize data pipelines for performance and reliability. - Maintain and enforce data quality, governance, and documentation standards. - Collaborate with data analysts, architects, and DevOps teams in a cloud-native environment.Must-Have Skills:- Strong experience with Azure Cloud Platform services. - Proven expertise in Azure Data Factory (ADF) for orchestrating and automating data pipelines. - Proficiency in SQL for data analysis and transformation. - Hands-on experience with Snowflake and SnowSQL for data warehousing. - Practical knowledge of DBT (Data Build Tool) for transforming data in the warehouse. - Experience working in cloud-based data environments with large-scale datasets.Good-to-Have Skills:- Experience with DataStage, Netezza, Azure Data Lake, Azure Synapse, or Azure Functions. - Familiarity with Python or PySpark for custom data transformations. - Understanding of CI/CD pipelines and DevOps for data workflows. - Exposure to data governance, metadata management, or data catalog tools. - Knowledge of business intelligence tools (e.g., Power BI, Tableau) is a plus.Qualifications:- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field. - 6+ years of experience in data engineering roles using Azure and Snowflake. - Strong problem-solving, communication, and collaboration skills.