
Senior Data Architect
1 week ago
Job Title: Data Engineering Expert
About the Role:
We are seeking a highly skilled Data Engineering Expert to lead our data engineering team and drive the success of our organization through innovative data solutions. This is a unique opportunity for an experienced professional to take on a leadership role and shape the future of our data strategy.
Key Responsibilities:
- Lead the migration of data warehousing and ETL processes from Teradata and Informatica to Snowflake and dbt.
- Design, develop, and implement efficient ETL/ELT pipelines within the new Snowflake and dbt environment.
- Optimize existing SQL workflows for performance and cost-efficiency on the Snowflake platform.
- Establish and enforce data quality, governance, and security standards within the new platform.
- Collaborate with data architects, analysts, and business stakeholders to understand data requirements and translate them into technical solutions.
- Develop best practices for data modeling, CI/CD, and version control using Git.
- Mentor junior engineers and contribute to the continuous improvement of the data engineering practice.
- Troubleshoot and resolve complex data integration and warehouse performance issues.
Qualifications:
- 5–10 years of experience in data engineering, data warehousing, or related fields.
- Deep expertise in migrating data platforms from legacy systems to cloud environments.
- Mandatory 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 for data transformation, testing, and documentation.
- Exceptional proficiency in SQL and at least one programming language (Python is preferred).
- Experience with cloud services (e.g., S3, ADLS, Google Cloud Storage) and setting up data ingestion from various sources.
- Excellent analytical, problem-solving, and communication skills.
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