Senior Programmer - Snowflake Developer - PL/SQL - AWS/Azure - Python - Data Warehousing Concept

As a Data Engineer, you will be responsible for designing and implementing robust data models, schemas, and data warehousing solutions using the Snowflake platform. Your key responsibilities will include: - Managing end-to-end data migration processes, including data extraction, transformation, and loading into Snowflake (ETL/ELT). - Leveraging Snowflake-specific features for semi-structured data handling, secure data sharing, and advanced security capabilities. - Developing, optimizing, and maintaining ETL pipelines to ensure efficient and reliable data movement within Snowflake. - Optimizing Snowflake configurations and fine-tuning SQL queries to enhance performance and scalability. - Enforcing data quality controls and implementing security protocols to safeguard sensitive data. - Troubleshooting and resolving technical issues, including performance bottlenecks and data quality concerns. - Collaborating with stakeholders to gather requirements and deliver tailored data solutions. - Creating and maintaining clear technical documentation covering data models, ETL processes, and overall architecture. Qualifications required for this role include: - In-depth knowledge of Snowflake architecture, features, and industry best practices. - Proficiency in SQL for data manipulation, advanced querying, and performance tuning. - Skills in designing and implementing data models, including star and snowflake schemas, within Snowflake. - Experience in ETL/ELT processes and integration tools used with Snowflake. - Hands-on experience building data ingestion pipelines using tools such as Informatica. - Strong understanding of cloud computing concepts, particularly as they relate to Snowflake's cloud-native platform. - Capability of diagnosing and resolving performance issues in Snowflake environments and SQL queries. - Excellent communication and collaboration skills for effective stakeholder engagement. - Familiarity with version control systems like Git for managing code and development workflows. As a Data Engineer, you will be responsible for designing and implementing robust data models, schemas, and data warehousing solutions using the Snowflake platform. Your key responsibilities will include: - Managing end-to-end data migration processes, including data extraction, transformation, and loading into Snowflake (ETL/ELT). - Leveraging Snowflake-specific features for semi-structured data handling, secure data sharing, and advanced security capabilities. - Developing, optimizing, and maintaining ETL pipelines to ensure efficient and reliable data movement within Snowflake. - Optimizing Snowflake configurations and fine-tuning SQL queries to enhance performance and scalability. - Enforcing data quality controls and implementing security protocols to safeguard sensitive data. - Troubleshooting and resolving technical issues, including performance bottlenecks and data quality concerns. - Collaborating with stakeholders to gather requirements and deliver tailored data solutions. - Creating and maintaining clear technical documentation covering data models, ETL processes, and overall architecture. Qualifications required for this role include: - In-depth knowledge of Snowflake architecture, features, and industry best practices. - Proficiency in SQL for data manipulation, advanced querying, and performance tuning. - Skills in designing and implementing data models, including star and snowflake schemas, within Snowflake. - Experience in ETL/ELT processes and integration tools used with Snowflake. - Hands-on experience building data ingestion pipelines using tools such as Informatica. - Strong understanding of cloud computing concepts, particularly as they relate to Snowflake's cloud-native platform. - Capability of diagnosing and resolving performance issues in Snowflake environments and SQL queries. - Excellent communication and collaboration skills for effective stakeholder engagement. - Familiarity with version control systems like Git for managing code and development workflows.