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

Role overview

Qualifications

  • Strong SQL skills including CTEs, window functions, query optimization and performance tuning
  • Hands-on Snowflake experience (warehouses, streams, tasks, data loading and optimization)
  • Python for data processing and pipeline development
  • Experience with AWS services (Glue, Lambda, S3) and dbt for data transformation and reporting

Responsibilities

  • Design, develop, and optimize scalable ETL/ELT pipelines for enterprise data platforms
  • Build and maintain data solutions using Snowflake, Python, and AWS services
  • Create and maintain data transformation workflows using dbt and develop reporting datasets for dashboards with Amazon QuickSight
  • Perform data validation, data integrity checks, and monitor pipeline performance to ensure data accuracy and reliability

About the company

PointAbout Inc. logo

PointAbout Inc.

Software Development

PointAbout is now 3Pillar Global. VIsit us at http://www.3pillarglobal.com. You can also follow us on http://www.linkedin.com/company/3pillar-global The company creates iPhone, iPad, Android, Blackberry, and Windows Phone 7 applications for brands as well as enterprise internal use. We've designed and developed native applications for clients like the Social Security Administration, US Army, The Outdoor Channel, PBS, Arinc, the Washington Post, Intelsat, Carfax, Huffington Post, OnStar, Cars.com, and many others. We provide mobile strategy planning, advisory, ideation, mobile product concepting, and feature/release planning for consumer and enterprise mobile.

Company details

IndustrySoftware Development
Company size501 - 1000

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Job description

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! 🔮🌐

Key Responsibilities
  • 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

  • Required Skills
  • 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
     

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    MR

    Marcus Rivera

    Chief Revenue Officer

    m.rivera@company.com
    linkedin.com/in/marcusrivera
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