
Principal Data Scientist
4 days ago
We are seeking a skilled Data Architect with experience in designing, developing, and performance tuning ETL processes using SSIS/ADF in a multi-dimensional data warehousing environment. They should have hands-on experience with cloud data platforms like Azure Synapse and Snowflake for building data pipelines and analytics workloads.
Key responsibilities include setting up and operating data pipelines using Python or SQL, working with Snowflake, including Snowflake SQL, data modeling, and performance optimization. The successful applicant will also be responsible for defining and enabling data quality standards for auditing, and monitoring.
The role requires strong analytical abilities, intellectual curiosity, collaboration, teamwork skills, excellent written and verbal communications skills, and the ability to work in a fast-paced development environment.
Preferred skills include knowledge of data engineering concepts, strong working knowledge of Snowflake, experience building pipelines that source from or deliver data into Snowflake, and proficiency in Dev-Ops processes, Git/Jenkins version control tool, Master Data Management (MDM), and Data Quality tools.
Requirements- Experience with cloud data platforms like Azure Synapse and Snowflake
- Strong working knowledge of Snowflake
- Proficiency in Dev-Ops processes, Git/Jenkins version control tool, Master Data Management (MDM), and Data Quality tools
- Ability to design, develop, and performance tune ETL processes using SSIS/ADF
- Excellent written and verbal communications skills
This role offers a challenging and rewarding career opportunity for individuals who are passionate about data engineering and want to make a real impact on our business.
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