
Snowflake Data Engineer
2 days ago
Snowflake ETL Experts play a pivotal role in designing, developing and maintaining ETL processes to support data integration and analytics using the Snowflake platform.
Key responsibilities include:
- Designing and Developing ETL Processes: Creating and maintaining ETL processes to extract, transform and load data from various sources into Snowflake.
- Data Integration: Integrating data from multiple sources while ensuring data quality and consistency.
- Performance Optimization: Optimizing ETL processes for performance and scalability.
- Data Modeling: Developing and maintaining data models to support analytics and reporting.
- Collaboration: Working with data architects, analysts and other stakeholders to understand data requirements and deliver solutions.
In order to succeed in this role, candidates should have:
- At least 7 years of overall IT experience
- A minimum of 3 years of Snowflake platform Data Engineering experience
- 4+ years of experience in writing complex SQL queries, stored procedures and analytical functions
- Good experience with Python scripting
- Knowledge of data warehousing, ETL concepts and best practices
- Experience with ETL tools such as Informatica, Talend or similar
- Strong database concepts like Entity-relationship, Data modeling, DDL and DML statements etc.
- Bachelor's degree required; relevant, equivalent work experience may be substituted for degree requirement
- Strong analytical and problem-solving skills
- Excellent communication skills to collaborate with stakeholders and document processes
- Ability to work independently and as part of a team
The ideal candidate will possess:
- Snowflake SnowPro certification
- Github or similar code versioning tool experience
- AWS/Azure Cloud experience
- Agile development environment
- Domain experience in Cards, banking and financial services industry
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