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

Role overview

Qualifications

  • 5+ years of data engineering experience with hands-on work in Snowflake, Python, and AWS services (Glue, Lambda, S3)
  • Strong SQL skills including CTEs, window functions, query optimization, and performance tuning
  • Hands-on experience with dbt (Data Build Tool) for data transformation pipelines
  • Experience creating dashboards and reports using Amazon QuickSight and working with NoSQL databases such as DynamoDB

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
  • Create and maintain data transformation workflows using dbt (data build tool)
  • Develop reporting datasets and support dashboarding solutions using Amazon QuickSight

About the company

3Pillar logo

3Pillar

Software Development

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 and Information Services. 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. For more information on the company and our services, please visit https://www.3pillarglobal.com. For current job openings in North America, APAC, LATAM and EMEA, please visit https://www.3pillarglobal.com/career-opportunities/.

Company details

Company typeLarge
IndustrySoftware Development
Company size1001 - 5000

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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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    Marcus Rivera

    Chief Revenue Officer

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