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About the role
As a Senior Data Engineer specializing in Snowflake and Data Warehouse Migration, your role will involve building and modernizing enterprise data platforms. You will be responsible for the end-to-end migration of legacy/on-prem data platforms to Snowflake, utilizing your expertise in Data Warehouse/Data Lake architecture, SQL, Data Modeling, ETL/ELT, and Python. Additionally, you will need to have experience with at least one cloud platform such as Azure, AWS, or GCP, and be capable of independently owning architecture, development, migration, and optimization initiatives. Key Responsibilities: - Utilize your 5-7 years of Data Engineering experience and 4+ years of hands-on Snowflake experience to drive successful data platform modernization projects - Demonstrate strong expertise in Data Warehouse/Data Lake architecture to ensure efficient and scalable data solutions - Execute end-to-end migration of legacy/on-prem data platforms to Snowflake, leveraging advanced SQL, Data Modeling, ETL/ELT, and Python skills - Collaborate with cross-functional teams to implement best practices for data migration and optimization - Utilize your experience with cloud platforms such as Azure, AWS, or GCP to enable seamless integration and operation of data platforms Qualifications Required: - 5-7 years of Data Engineering experience - 4+ years of hands-on Snowflake experience - Strong expertise in Data Warehouse/Data Lake architecture - End-to-end experience in migrating legacy/on-prem data platforms to Snowflake - Advanced SQL, Data Modeling, ETL/ELT, and Python skills - Experience with at least one cloud platform (Azure/AWS/GCP) - Ability to independently own architecture, development, migration, and optimization initiatives In addition to the key responsibilities and qualifications mentioned above, it would be beneficial to have experience in Databricks, exposure to HRMS/HCM/Payroll domains, and knowledge of CDC & Real-Time Data Integration. (Note: The company details were not mentioned in the provided job description.) As a Senior Data Engineer specializing in Snowflake and Data Warehouse Migration, your role will involve building and modernizing enterprise data platforms. You will be responsible for the end-to-end migration of legacy/on-prem data platforms to Snowflake, utilizing your expertise in Data Warehouse/Data Lake architecture, SQL, Data Modeling, ETL/ELT, and Python. Additionally, you will need to have experience with at least one cloud platform such as Azure, AWS, or GCP, and be capable of independently owning architecture, development, migration, and optimization initiatives. Key Responsibilities: - Utilize your 5-7 years of Data Engineering experience and 4+ years of hands-on Snowflake experience to drive successful data platform modernization projects - Demonstrate strong expertise in Data Warehouse/Data Lake architecture to ensure efficient and scalable data solutions - Execute end-to-end migration of legacy/on-prem data platforms to Snowflake, leveraging advanced SQL, Data Modeling, ETL/ELT, and Python skills - Collaborate with cross-functional teams to implement best practices for data migration and optimization - Utilize your experience with cloud platforms such as Azure, AWS, or GCP to enable seamless integration and operation of data platforms Qualifications Required: - 5-7 years of Data Engineering experience - 4+ years of hands-on Snowflake experience - Strong expertise in Data Warehouse/Data Lake architecture - End-to-end experience in migrating legacy/on-prem data platforms to Snowflake - Advanced SQL, Data Modeling, ETL/ELT, and Python skills - Experience with at least one cloud platform (Azure/AWS/GCP) - Ability to independently own architecture, development, migration, and optimization initiatives In addition to the key responsibilities and qualifications mentioned above, it would be beneficial to have experience in Databricks, exposure to HRMS/HCM/Payroll domains, and knowledge of CDC & Real-Time Data Integration. (Note: The company details were not mentioned in the provided job description.)
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