Data Engineer

Job Description :

We are seeking an Intermediate to Senior Data Engineer with over 3 years of experience, particularly in large-scale enterprise data projects. The ideal candidate will have hands-on experience with Azure and Snowflake, having completed at least two projects using these technologies. A strong understanding of data lake and data warehouse architecture is essential, along with proven expertise in building pipelines with Azure Data Factory (ADF).

Our project involves building a new data warehouse in Snowflake for the Technology Vendor Management Office department, with data visualization handled by PowerBI. The successful candidate will be responsible for designing, implementing, and monitoring best practices for the development framework, and must be willing to work in a fast-paced, results-driven environment.

MUST HAVES : The role requires

• proficiency in Azure Data Lake Storage (ADLS), Key Vault, Logic Apps, and DevOps (CI / CD).
• The candidate should be adept at assembling large, complex data sets to meet both functional and non-functional business requirements.
• Experience in performance tuning, optimization, and technical troubleshooting is crucial.
• Additionally, the candidate should have a working knowledge of building data validation, data cleansing, and data integrity checks as part of ETL pipeline delivery.