
Data Architect
6 days ago
Are you looking to transform data into actionable insights? Do you want to leverage the cloud for agility and scalability?
As a data engineer, your mission is to optimize technology infrastructure and drive data-driven success. You will work closely with data architects, analysts, and stakeholders to translate data requirements into technical solutions.
- Migrate End-to-End Data Warehousing and ETL Processes to Snowflake and dbt.
- Design and Develop Efficient ETL/ELT Pipelines within Snowflake and dbt Environment.
- Optimize Teradata SQL and Informatica Workflows for Performance on Snowflake Platform.
- Establish Data Quality, Governance, and Security Standards within Snowflake.
- Develop Best Practices for Data Modeling, CI/CD, and Version Control using Git.
- Mentor Junior Engineers and Contribute to Continuous Improvement of Data Engineering Practice.
- Collaborate with Cross-Functional Teams to Translate Business Requirements into Technical Solutions.
Requirements
- 5–10 Years of Experience in Data Engineering, Data Warehousing, or Related Field.
- Demonstrable Expertise in Migrating Data Platforms from On-Premises/Legacy Systems to Cloud Environments.
- Hands-On Experience with Teradata for Data Warehousing and Informatica for ETL Development.
- Expert-Level Proficiency in Snowflake Data Warehousing, including Performance Tuning and Platform Administration.
- Strong Experience with dbt (data build tool) for Data Transformation, Testing, and Documentation.
- Exceptional Proficiency in SQL and Programming Language (Python Preferred).
- Experience with Cloud Services and Setting up Data Ingestion from Various Sources.
- Analytical, Problem-Solving, and Communication Skills.
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