
Data Warehouse Engineer
5 days ago
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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