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! ??

What It's Like to Work at 3Pillar:
At 3Pillar, we create an environment where people can do their best work while maintaining a healthy work-life balance.
Flexibility & Well-being– Our remote-first approach gives you the flexibility to work where you perform best, while prioritizing your well-being and personal commitments.
Global Community– Collaborate with talented colleagues across the globe in a culture built on connection, support, and shared success.
Your Voice Matters– We foster open communication and multiple feedback channels, ensuring every employee has the opportunity to be heard and make an impact.
Growth & Development– Gain exposure to diverse clients, industries, and challenges that accelerate learning and career growth.

Our culture is guided by four core values:Collaboration, Outperform, Respect, and Evolve—the principles that shape how we work, grow, and succeed together.
Key Responsibilities

Design, develop, and optimize scalableETL/ELT pipelinesfor enterprise data platforms
Build and maintain robust data solutions usingSnowflake, Python, and AWS services
Develop advanced SQL queries usingCTEs, window functions, query tuning, and performance optimization techniques
Work withSnowflake warehouses, tasks,



streams, and data pipelinesfor efficient data processing
Create and maintain data transformation workflows usingdbt (data build tool)
Develop reporting datasets and support dashboarding solutions usingAmazon QuickSight
Performdata validation, data integrity checks, and root cause analysisto ensure data accuracy and reliability
Integrate and manage data across platforms includingDynamoDB, 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 inSQLincluding:
CTEs
Window Functions
Query Optimization
Performance Tuning

Hands-on experience withSnowflake:
Warehouses
Streams
Tasks
Data Loading and Optimization

Experience inPythonfor data processing and pipeline development
Experience with AWS services:
AWS Glue
Lambda
S3

Valuable knowledge ofdbt (Data Build Tool)
Experience in creating dashboards and reports usingAmazon QuickSight
Knowledge ofRocksetanalytical engine
Experience withDynamoDBand NoSQL databases
Basic to intermediate knowledge ofJavaScript
Regards
Rajan Paul(Linkedin Profile)
3Pillar Global
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.

📌 Senior Data Engineer With Exp In Snowflake & Amazon Quicksight (India)
🏢 3Pillarglobal
📍 India