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About the role
Role: Data Engineer Experience: 8+ Years Location: Hyderabad Job Summary We are looking for an experienced Data Engineer with strong expertise in Snowflake and DBT (Data Build Tool) to design, develop, and optimize modern cloud-based data warehousing and transformation solutions. The ideal candidate should have hands-on experience in building scalable ETL/ELT pipelines and working with cloud data platforms. Mandatory Skills Strong hands-on experience with Snowflake Expertise in DBT (Data Build Tool) Proficiency in SQL and data modeling concepts Experience in building and optimizing ETL/ELT pipelines Strong understanding of data warehousing concepts and best practices Good to Have Skills Experience with Azure Data Factory (ADF) Knowledge of Apache Airflow Exposure to cloud platforms such as AWS or Azure Familiarity with CI/CD processes and version control tools like Git Key Responsibilities Design, develop, and maintain scalable data pipelines using Snowflake and DBT Build and optimize data transformation workflows for analytics and reporting Collaborate with business and technical teams to understand data requirements Ensure data quality, performance tuning, and pipeline reliability Implement best practices for data governance, security, and documentation Support deployment and monitoring of data solutions in cloud environments Required Qualifications Bachelors degree in Computer Science, Information Technology, or related field 57 years of overall experience in Data Engineering/Data Warehousing Strong analytical and problem-solving skills Excellent communication and collaboration abilities Preferred Qualifications Certifications in Snowflake, AWS, or Azure are a plus Experience working in Agile environments Role: Data Engineer Experience: 8+ Years Location: Hyderabad Job Summary We are looking for an experienced Data Engineer with strong expertise in Snowflake and DBT (Data Build Tool) to design, develop, and optimize modern cloud-based data warehousing and transformation solutions. The ideal candidate should have hands-on experience in building scalable ETL/ELT pipelines and working with cloud data platforms. Mandatory Skills Strong hands-on experience with Snowflake Expertise in DBT (Data Build Tool) Proficiency in SQL and data modeling concepts Experience in building and optimizing ETL/ELT pipelines Strong understanding of data warehousing concepts and best practices Good to Have Skills Experience with Azure Data Factory (ADF) Knowledge of Apache Airflow Exposure to cloud platforms such as AWS or Azure Familiarity with CI/CD processes and version control tools like Git Key Responsibilities Design, develop, and maintain scalable data pipelines using Snowflake and DBT Build and optimize data transformation workflows for analytics and reporting Collaborate with business and technical teams to understand data requirements Ensure data quality, performance tuning, and pipeline reliability Implement best practices for data governance, security, and documentation Support deployment and monitoring of data solutions in cloud environments Required Qualifications Bachelors degree in Computer Science, Information Technology, or related field 57 years of overall experience in Data Engineering/Data Warehousing Strong analytical and problem-solving skills Excellent communication and collaboration abilities Preferred Qualifications Certifications in Snowflake, AWS, or Azure are a plus Experience working in Agile environments