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At 3Pillar, our focus is on leveraging cutting-edge technologies that revolutionize industries by enabling data driven decision making. As a Senior Data Engineer, you will hold a crucial position within our dynamic team, actively contributing to thrilling projects that reshape data analytics for our clients, providing them with a competitive advantage in their respective Industries. if your passion for data analytics solutions that make a real-world impact, consider this your pass to the captivating world of Data Science and Engineering! 🔮🌐
Key Responsibilities
- Design, develop, and optimize scalable ETL/ELT pipelines for enterprise data platforms
- Build and maintain robust data solutions using Snowflake, Python, and AWS services
- Develop advanced SQL queries using CTEs, window functions, query tuning, and performance optimization techniques
- Work with Snowflake warehouses, tasks, streams, and data pipelines for efficient data processing
- Create and maintain data transformation workflows using dbt (data build tool)
- Develop reporting datasets and support dashboarding solutions using Amazon QuickSight
- Perform data validation, data integrity checks, and root cause analysis to ensure data accuracy and reliability
- Integrate and manage data across platforms including DynamoDB, S3, AWS Glue, Lambda, and Rockset
- Collaborate with cross-functional teams including analytics, product, and clinical stakeholders to support reporting requirements
- Monitor pipeline performance and troubleshoot production data issues
Required Skills
- Strong experience in SQL including:
- CTEs
- Window Functions
- Query Optimization
- Performance Tuning
- Hands-on experience with Snowflake:
- Warehouses
- Streams
- Tasks
- Data Loading and Optimization
- Experience in Python for data processing and pipeline development
- Experience with AWS services:
- AWS Glue
- Lambda
- S3
- Good knowledge of dbt (Data Build Tool)
- Experience in creating dashboards and reports using Amazon QuickSight
- Knowledge of Rockset analytical engine
- Experience with DynamoDB and NoSQL databases
- Basic to intermediate knowledge of JavaScript
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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