Senior Data Engineer with Exp in Snowflake & Amazon QuickSight(5+ Years of Exp)

IndiaRemoteFull-timesenior

Data EngineerData

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Overview

At 3Pillar, our focus is on leveraging cutting-edge technologies that revolutionize industries by enabling data driven decision making. As a Senior Data Engineer,

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Data EngineerData

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! 🔮🌐

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