Data Warehouse Engineer

2 weeks ago

Hyderabad, Telangana, India QuiqHire Full time ₹ 24,00,000 - ₹ 48,00,000 per year

Job Title:
Data Warehouse Engineer

Company:
T
op-performing Customer Acquisition and Direct Response Media Agency (UK Headquartered)

Job Location:
Hyderabad (on-site)

Approx CTC Band:
Rs 30 LPA

Experience Required:
2-4 Years

About Us:

Client of QuiqHire, a top-performing Customer Acquisition and Direct Response Media Agency. Our data and technology division is building a cutting-edge, Snowflake-based analytics platform to drive data-informed decisions across the business.

Role Purpose:

We are seeking a technically strong, hands-on Data Warehouse Engineer to design, build, and maintain our Snowflake data warehouse. Your core mission is to transform raw data into clean, reliable, and well-modeled datasets that power our DOMO dashboards and business intelligence, ensuring data is always accurate and timely for downstream analytics.

Key Responsibilities:

  • Design, develop, and optimize robust ELT pipelines in Snowflake to prepare data for reporting and BI.
  • Build and maintain structured, analysis-ready data marts and views in Snowflake for consumption by DOMO and other tools.
  • Transform raw digital marketing data (e.g., Meta, Google Ads, GA4) and business data into efficient, governed data models.
  • Implement and maintain data quality checks, validation rules, and monitoring processes to ensure data reliability.
  • Utilise advanced Snowflake features like Snowpipes, Streams, Tasks, Stored Procedures (JavaScript), and Dynamic Tables.
  • Collaborate daily with BI Developers and the UK-based data team to ensure data structures meet dashboard needs and optimize platform costs.
  • Maintain comprehensive documentation for all datasets, pipelines, and transformations.

Must-Have Skills:

  • Strong, hands-on experience with 
    Snowflake
     (schema design, performance tuning, warehouse scaling).
  • Advanced SQL
     for complex data transformation, modeling, and aggregation.
  • Proficiency in 
    JavaScript
     for creating Snowflake Stored Procedures and User-Defined Functions (UDFs).
  • Solid understanding of 
    ELT/ETL principles
     and pipeline construction.
  • Experience designing data models for BI tools like 
    DOMO
    .
  • Meticulous attention to detail, strong problem-solving skills, and excellent communication skills in English.

Good-to-Have Skills:

  • Python for scripting and automation.
  • Familiarity with digital marketing data sources (Meta, Google Ads, GA4, TikTok, etc.).

What Success Looks Like (First 6 Months):

  • Delivery of stable, well-documented Snowflake data marts that reliably power DOMO dashboards.
  • Implementation of monitored ELT pipelines with robust data quality checks.
  • Successful integration of new data sources with minimal manual intervention.
  • Positive stakeholder feedback on data reliability, performance, and accessibility.

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