
Chief Data Architect
2 days ago
At a top tech company, we are seeking an experienced Data Engineer with hands-on expertise in designing, building, and optimizing scalable data pipelines.
The ideal candidate will be responsible for enabling seamless data integration, transformation, and analytics to support business intelligence and advanced analytics initiatives.
- Design and build 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.
Required Skills:
- Bachelor's or Master's in Computer Science, Information Systems, or related field.
- 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.
Key Responsibilities:
- Work independently and as part of a team to deliver high-quality results.
- Develop and implement data-driven solutions to drive business growth.
What We Offer:
A competitive salary and benefits package, opportunities for career growth and professional development, and a collaborative work environment.
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