
Chief Data Engineering Specialist
1 day ago
We are seeking a skilled professional to design, build, and optimize scalable data pipelines.
- Main Responsibilities:
- Design, build, and maintain ETL/ELT pipelines using AWS Glue, Lambda, and DBT.
- Develop and optimize data models in Snowflake for scalability and performance.
- Write efficient and optimized SQL queries for data extraction, transformation, and loading.
- Collaborate with business analysts, data scientists, and stakeholders to understand data requirements.
- Ensure data quality, consistency, and governance across all platforms.
- Monitor and troubleshoot data pipelines, ensuring timely delivery of data.
- Automate workflows and integrate data from multiple internal and external sources.
- Implement best practices for data security, cost optimization, and performance tuning on AWS and Snowflake.
Essential Skills & Qualifications:
- Bachelor's or Master's in Computer Science, Information Systems, or related field.
- Proven hands-on experience with Snowflake Data Warehouse (data modeling, query optimization, performance tuning).
- Strong expertise in AWS services: Lambda, Glue, S3, IAM, CloudWatch.
- Proficiency in DBT (Data Build Tool) for data transformations and modular pipelines.
- Advanced knowledge of SQL (complex queries, performance optimization).
- Solid understanding of ETL/ELT design patterns and data integration best practices.
- Experience with CI/CD pipelines and version control (Git).
- Knowledge of data governance, lineage, and security best practices.
Critical Job Requirements:
- 5+ years of experience in data engineering.
- Strong understanding of data warehousing concepts.
- Excellent problem-solving skills.
- Ability to work collaboratively as part of a team.
- Strong communication and interpersonal skills.
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