Overview
Remote
Depends on Experience
Full Time
Skills
Snowflake
snowpark
stored procedures
Azure Data Services
ADF
Blob Storage
RBAC
Data Ingestion
Data Integration
ELT
ETL
Data Governance
Amazon Web Services
Big Data
Cloud Storage
Customer Facing
Data Migration
Data Warehouse
Extract
Transform
Load
SQL
Snow Flake Schema
Job Details
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.