
Data Professional
6 days ago
About this Role
We are seeking an experienced data professional to design, build and maintain large-scale data pipelines using various technologies such as Azure Synapse, Snowflake, and ADF.
Key Responsibilities
- Design and implement ETL processes using SSIS/ADF in a multi-dimensional data warehousing environment
- Develop and maintain data pipelines using Python or SQL
- Work with Snowflake, including Snowflake SQL, data modeling, and performance optimization
- Collaborate with cross-functional teams to define and enable data quality standards for auditing and monitoring
- Provide technical leadership and guidance on data engineering concepts, tools, and best practices
Requirements
- Bachelor's degree in Computer Engineering, Computer Science, or related discipline; Master's degree preferred
- 3+ years of experience in ETL design, development, and performance tuning
- Strong hands-on experience with cloud data platforms such as Azure Synapse and Snowflake
- Experience with Azure Data Factory, Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Blob Storage, and Azure functions
- Proficiency in IDE, database server, GIT, Continuous Integration, unit-testing tool, and defect management tools
PREFERRED SKILLS
- Strong knowledge of data engineering concepts (Data pipelines creation, Data Warehousing, Data Marts/Cubes, Data Reconciliation and Audit, Data Management)
- Strong working knowledge of Snowflake, including warehouse management, Snowflake SQL, and data sharing techniques
- Experience building pipelines that source from or deliver data into Snowflake in combination with tools like ADF and Databricks
About Us
An international professional services brand operates as partnerships under the brand name. It is the second-largest professional services network in the world.
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