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:
Imagine a flexible work environment – whether it's the office, your home, or a blend of both. From interviews to onboarding, we embody a remote-first approach.
You will be part of a global team, learning from top talent around the world and across cultures, speaking English everyday. Our global workforce enables our team to leverage global resources and work efficiently and effectively in teams.
We’re big on your well-being – as a company, we spend a whole trimester in our annual cycle focused on wellbeing. Whether it is taking advantage of fitness offerings, mental health plans (country-dependent), or simply leveraging generous time off, we want all of our team members operating at their best.
Our professional services model enables us to accelerate career growth and development opportunities - across projects, offerings, and industries.
We are an equal opportunity employer. It goes without saying that we live by values like Intrinsic Dignity and Open Collaboration to create cutting-edge technology AND reinforce our commitment to diversity - globally and locally.
At 3Pillar, we offer a world of opportunity:
Join us and be a part of a global tech community! 🌍💼 Check out our Linkedin site and Careers page to learn more about what it’s like to be part of our #oneteam!
Skills Required
- 5-10 years of experience in data engineering
- Strong experience with Snowflake data warehouse and its components
- Advanced SQL (CTEs, window functions, query tuning)
- Amazon QuickSight for BI visualizations
- Python for pipelines and data processing
- Data integrity and root cause analysis
- ETL / ELT pipeline development
- dbt (data build tool)
- AWS Glue, AWS Lambda, and Amazon S3
- Experience with Rockset analytical engine
- Experience designing or optimizing data lake solutions
- Understanding of data security practices, governance, and compliance
- Familiarity with CI/CD tools for deployment and testing automation
- Knowledge of big data processing tools (Spark, Hive, or related AWS services)
- Background in analytics or data science
- Experience collaborating with non-technical teams on business goals
What We Do
3Pillar Global builds breakthrough software products that power digital businesses. 3Pillar is an innovative product development partner whose solutions drive rapid revenue, market share, and customer growth for industry leaders in Software and SaaS, Media and Publishing, Information Services, and Retail. Leveraging a lean and agile approach, 3Pillar delivers value-generating, digital solutions with specialized product strategy and management, user experience design, as well as software and data engineering expertise across mobile, cloud, and disruptive technologies.







