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Tap Growth ai

Senior Data Engineer

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Job Description

Job Summary

We are seeking an experiencedSenior Data Engineerto design, build, and optimize scalable data platforms and pipelines that support analytics, reporting, and data-driven decision-making. The ideal candidate has deep expertise inSnowflake, moderndatabase technologies, and end-to-enddata engineeringpractices, with the ability to lead technical solutions and mentor junior engineers.

Key Responsibilities
  • Design, develop, and maintain scalable, reliable data pipelines and architectures

  • Build and optimize data models and warehouses usingSnowflake

  • Implement ELT/ETL processes to ingest data from multiple structured and semi-structured sources

  • Ensure data quality, performance tuning, security, and governance across platforms

  • Collaborate with analytics, BI, and business teams to deliver trusted datasets

  • Lead technical design discussions and make architectural recommendations

  • Troubleshoot and resolve complex data issues across systems

  • Mentor junior and mid-level data engineers and promote engineering best practices

  • Document data pipelines, schemas, and workflows

Required Qualifications
  • 8+ years of experiencein Data Engineering or related roles

  • Strong hands-on experience withSnowflake

  • Solid understanding ofdatabase technologies(SQL, relational databases, data warehousing concepts)

  • Expertise in data modeling (dimensional, normalized, and analytical models)

  • Experience building and maintaining ETL/ELT pipelines

  • Strong SQL skills and query performance optimization experience

  • Experience working in cloud environments (AWS, Azure, or GCP)

  • Ability to work independently and lead complex data initiatives



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Job ID: 141458711

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