Job
Description
Role Overview: As a Data Engineer specializing in Snowflake databases and data warehouse solutions, your primary responsibilities will include designing, developing, and maintaining Snowflake databases, optimizing SQL queries for data processing and reporting, and collaborating with cross-functional teams to implement data models and pipelines. You will also be responsible for ensuring data security, quality, and compliance in Snowflake environments, monitoring and troubleshooting system performance issues, and providing technical expertise to solve complex business problems related to data integration and database systems designs. Additionally, you will be involved in migrating and modernizing legacy ETL jobs for Snowflake and developing a configuration-driven Data Ingestion framework for efficient onboarding of new source tables. Your role will also entail driving continuous improvement initiatives to enhance data engineering processes, tools, and frameworks while ensuring compliance with data quality, security, and privacy standards in all data engineering activities. Key Responsibilities: - Design, develop, and maintain Snowflake databases and data warehouse solutions - Build and optimize SQL queries for data processing and reporting - Collaborate with cross-functional teams to implement data models and pipelines - Ensure data security, quality, and compliance in Snowflake environments - Monitor and troubleshoot Snowflake and SQL systems for performance issues - Migrate and modernize existing legacy ETL jobs for Snowflake - Develop and implement a configuration-driven Data Ingestion framework for efficient onboarding of new source tables - Drive continuous improvement initiatives to enhance data engineering processes, tools, and frameworks - Ensure compliance with data quality, security, and privacy standards across all data engineering activities Qualifications Required: - Minimum of 5+ years of related experience - Bachelor's degree preferred or equivalent experience - Expertise in Snowflake DB and its various architecture principles and capabilities - Experience with data warehousing, data architecture, ETL data pipeline, and data engineering environments at an enterprise scale built on Snowflake - Ability to create Strong SQL Procedures in Snowflake and build Data Pipelines efficiently in a cost-optimizing and performance-efficient manner - Strong experience with AWS Cloud - Proficient understanding of code versioning tools such as Git, Mercurial, SVN - Knowledge of SDLC, Testing & CI/CD aspects including Jenkins, JIRA (Note: The additional details regarding the company culture and perks were omitted as they were not provided in the job description) Role Overview: As a Data Engineer specializing in Snowflake databases and data warehouse solutions, your primary responsibilities will include designing, developing, and maintaining Snowflake databases, optimizing SQL queries for data processing and reporting, and collaborating with cross-functional teams to implement data models and pipelines. You will also be responsible for ensuring data security, quality, and compliance in Snowflake environments, monitoring and troubleshooting system performance issues, and providing technical expertise to solve complex business problems related to data integration and database systems designs. Additionally, you will be involved in migrating and modernizing legacy ETL jobs for Snowflake and developing a configuration-driven Data Ingestion framework for efficient onboarding of new source tables. Your role will also entail driving continuous improvement initiatives to enhance data engineering processes, tools, and frameworks while ensuring compliance with data quality, security, and privacy standards in all data engineering activities. Key Responsibilities: - Design, develop, and maintain Snowflake databases and data warehouse solutions - Build and optimize SQL queries for data processing and reporting - Collaborate with cross-functional teams to implement data models and pipelines - Ensure data security, quality, and compliance in Snowflake environments - Monitor and troubleshoot Snowflake and SQL systems for performance issues - Migrate and modernize existing legacy ETL jobs for Snowflake - Develop and implement a configuration-driven Data Ingestion framework for efficient onboarding of new source tables - Drive continuous improvement initiatives to enhance data engineering processes, tools, and frameworks - Ensure compliance with data quality, security, and privacy standards across all data engineering activities Qualifications Required: - Minimum of 5+ years of related experience - Bachelor's degree preferred or equivalent experience - Expertise in Snowflake DB and its various architecture principles and capabilities - Experience with data warehousing, data architecture, ETL data pipeline, and data engineering environments at an enterprise scale built on Snowflake - Ability to create Strong SQL Procedures in S
