Our client is looking for a Data Engineer to join their team! In this role, you will help the client move their data systems from on-premises to the cloud, specifically using Snowflake and Azure. You will work closely with the client to plan and carry out a smooth transition, making sure their data is securely and efficiently moved to the cloud. Your skills in data modeling, advanced SQL, and cloud tools like Databricks, Azure Data Factory, and Azure Functions will be key to overcoming any challenges during the migration. You'll also be involved in developing APIs to support the new cloud environment. Additionally, your ability to communicate clearly and lead projects will ensure that everyone involved understands the process and that the migration meets the client's needs. Top skills you need to have:
- A minimum of 7 years of hands-on experience in designing, configuring, implementing, and migrating data for medium to large enterprise data platforms.
- Proficiency in data modeling and advanced SQL.
- Extensive experience with cloud migration processes and tools, such as Snowflake, Fivetran, dbt, Azure Data Factory, Azure Functions, and other Azure data services.
- Mastery of Advanced SQL, Python, Snowflake cloud data warehousing.
- Skilled in working with diverse data file formats, including Avro, JSON, XML, and CSV
- Strong understanding of data warehousing (specifically working with Kimball-style dimensional models), data architecture, data quality processes, and database design, both logical and physical.
- Proven ability to design and implement data ingestion processes for both structured and unstructured data.
- Expertise in developing data cleansing routines using standard data operations.
- Comprehensive knowledge of data management, including master data, metadata standards, and associated processes.
- Proficient in using Azure DevOps/GitHub Actions for CI/CD pipeline deployment.
- Microsoft Azure certifications are highly desirable.
Core Technologies: - Snowflake
- Azure Functions
- Python
- SQL Server
- SSIS
- dbt
- Fivetran
- Azure Data Factory
- Azure DevOps
- GitHub/GitHub Actions
- T-SQL and SQL stored procedures
- Azure Log Analytics
- Azure Data Lake Storage
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