
Transformative Cloud Data Engineer
1 day ago
At our organization, we partner with businesses to optimize their technology infrastructure and drive data-driven success.
Job Description:- Lead the end-to-end migration of data warehousing and ETL processes from legacy systems to cloud-based platforms.
- Design, develop, and implement highly efficient, scalable, and reliable ETL/ELT pipelines within a new cloud environment.
- Optimize existing workflows for performance and cost-efficiency on a cloud platform.
- Establish and enforce data quality, governance, and security standards within a new platform.
- Collaborate with data architects, analysts, and business stakeholders to understand data requirements and translate them into robust technical solutions.
- Develop best practices for data modeling, CI/CD, and version control for a new data platform.
- Mentor junior engineers and contribute to the continuous improvement of a data engineering practice.
- Troubleshoot and resolve complex data integration and data warehouse performance issues.
Key Responsibilities:
- 5-10 years of professional experience in data engineering, data warehousing, or a related field.
- Deep, 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, SnowSQL, and platform administration.
- Strong experience with dbt (data build tool) for data transformation, testing, and documentation.
- Exceptional proficiency in SQL and at least one programming language.
- Experience with cloud services and setting up data ingestion from various sources.
- Excellent analytical, problem-solving, and communication skills.
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