
Chief Data Engineering Specialist
2 weeks ago
We are looking for an experienced data engineer with strong expertise in designing and building scalable data pipelines using various tools and technologies. This is a key role that requires hands-on experience in Snowflake, AWS Lambda, Glue, DBT, and SQL to drive business success.
About the JobIn this position, you will be responsible for:
- Designing, building, and maintaining ETL/ELT pipelines using AWS Glue, Lambda, and DBT to ensure seamless data flow and high-quality output.
- Developing and optimizing data models in Snowflake for scalability and performance, meeting the needs of business stakeholders and analysts.
- Writing efficient and optimized SQL queries for data extraction, transformation, and loading, ensuring timely delivery and accuracy.
- Collaborating with cross-functional teams, including data scientists, business analysts, and stakeholders, to understand data requirements and deliver solutions.
- Ensuring data quality, consistency, and governance across all platforms, aligning with industry best practices and regulatory requirements.
- Monitoring and troubleshooting data pipelines, identifying issues, and implementing fixes to maintain data integrity and continuity.
To succeed in this role, you will need:
- Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
- Hands-on experience with Snowflake Data Warehouse, including data modeling, query optimization, and performance tuning.
- Strong expertise in AWS services, including Lambda, Glue, S3, IAM, and CloudWatch.
- Proficiency in DBT for data transformations and modular pipelines.
- Advanced knowledge of SQL, including complex queries and performance optimization.
- Solid understanding of ETL/ELT design patterns and data integration best practices.
- Experience with CI/CD pipelines and version control using Git.
This is a critical role in our organization, and we are looking for someone who can take ownership of data engineering tasks, collaborate effectively with teams, and drive business outcomes through data-driven insights.
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