About this role
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! 🔮🌐
Regards
Rajan Paul(Linkedin Profile)
3Pillar Global
• 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
• 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
Regards
Rajan Paul(Linkedin Profile)
3Pillar Global
• 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
• 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
Tech stack
SnowflakePythonAWSdbtJavaScript
About 3Pillar Global
3Pillar Global is hiring for the senior data engineer with exp in snowflake & amazon quicksight role. NewJob aggregates active openings directly from 3Pillar Global's applicant tracking system, so this listing is current.
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