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.