Minimum Qualification

• Experience: 5-10 years of experience in data engineering,
• Strong exp in Snowflake DWH and its components
• SQL — advanced (CTEs, window fns, tuning)
• Amazon QuickSight (BI visualizations)
• Python (pipelines, data processing)
• Data integrity & root cause analysis
• ETL / ELT pipeline development
• dbt (data build tool)
• AWS Glue / Lambda / S3
• Rockset (analytical engine)
• SQL-heavy role.
• Snowflake critically important.
• Amazon QuickSight used to render visualizations for clinical stakeholders.

Additional experience

• Data Architecture: Experience designing or optimizing data lake solutions.
• Security Practices: Understanding of data security practices, data governance, and compliance for secure data processing.
• Automation & CI/CD: Familiarity with CI/CD tools to support automation of deployment and testing.
• Big Data Technologies: Knowledge of big data processing tools like Spark, Hive, or related AWS services.
• Advanced Analytics: Background in analytics or data science to contribute to more data-driven decision-making.
• Cross-Functional Collaboration: Experience collaborating with non-technical teams on business goals and technical solutions.

What It's Like to Work at 3Pillar:

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.