
Principal Data Specialist
2 weeks ago
The role of a Data Engineer is to design and develop large-scale data processing systems.
A skilled professional in this field will be responsible for developing and maintaining Azure Functions (.NET) for data processing.
Key responsibilities include building ELT pipelines with ADF / Azure Data Services, working on Snowflake, Azure SQL & Data Lake for data integration.
Transformations using dbt or equivalent frameworks are also implemented.
Additionally, collaboration with BI teams to support Power BI & reporting is required.
Required skills and qualifications include strong skills in Azure Functions, ADF & SQL/T-SQL, hands-on experience with Snowflake (warehouses, streams, tasks), experience with dbt or other transformation tools, knowledge of Azure Data Lake Gen2, Azure SQL, Synapse.
Solid understanding of Data Warehousing concepts is necessary for this position.
As a key member of the team, you will work closely with other professionals to achieve business goals.
- Develop and maintain Azure Functions (.NET) for data processing.
- Build ELT pipelines with ADF / Azure Data Services.
- Work on Snowflake, Azure SQL & Data Lake for data integration.
- Implement transformations using dbt or equivalent frameworks.
- Collaborate with BI teams to support Power BI & reporting.
Responsibilities:
- Process and analyze large datasets.
- Design and implement data pipelines.
- Collaborate with cross-functional teams.
- Ensure data integrity and security.
Requirements:
- Proficiency in Azure Functions, ADF & SQL/T-SQL.
- Hands-on experience with Snowflake.
- Experience with dbt or other transformation tools.
- Knowledge of Azure Data Lake Gen2, Azure SQL, Synapse.
- Understanding of Data Warehousing concepts.
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