Position: Sr Data Engineer – Data Migration Consultant (Snowflake)
We are looking for a hands-on Data Engineer with strong experience in Snowflake and modern data platforms. This role involves end-to-end data migration, building scalable data pipelines, and supporting customers through Snowflake implementation and optimization.
Responsibilities:
• Design and implement data migration plans and Snowflake-based solutions.
• Work closely with customers as the Snowflake technical expert during implementation.
• Develop and optimize ELT/ETL pipelines using SQL, Python, and Snowflake features.
• Deploy Snowflake following best practices, including knowledge transfer to customer teams.
• Work with cloud platforms (AWS, Azure, or Google Cloud Platform) to support data ingestion and integration.
• Collaborate with system integrators and internal teams to ensure successful delivery.
• Create documentation, presentations, and reusable accelerators or utilities.
• Stay updated on related data technologies and contribute to solution improvements.
Required Skills & Experience:
• 5–7 years of experience as a Data Engineer or similar role.
• Strong hands-on experience with Snowflake (Warehouses, Stages, Snowpipe, Streams, Tasks, Views, Time Travel, RBAC, Query Optimization).
• Experience migrating data warehouses from on-prem to cloud environments.
• Strong SQL skills and scripting experience in Python and/or Bash.
• Good understanding of the data analytics ecosystem (ETL, modeling, BI tools).
• Experience with cloud storage and compute services (S3, Azure Blob, Google Cloud Platform Storage).
• Strong communication and client-facing skills.
Preferred Qualifications:
• Experience with big data platforms (Hadoop, HBase).
• Familiarity with BI tools such as Power BI, Tableau, MicroStrategy, etc.
• Exposure to Infrastructure-as-a-Service platforms (AWS, Azure, Google Cloud Platform).
• Experience implementing ETL pipelines and working with languages like Java or C/C++.
• SnowPro Core Certification is a plus.
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