Data Warehouse Engineer
7 days ago
Job Title:
Data Warehouse Engineer
Required Years of Experience:
3–4 Years
Location:
Remote
Position Overview:
We're looking for a
Data Warehouse Engineer (Junior/Mid-Level)
to help design, develop, and maintain a modern data warehouse environment. You'll work on ingesting data from multiple sources, transforming it into analytics-ready models, and ensuring high performance, reliability, and data quality. This role sits at the intersection of data engineering and analytics, with a strong focus on warehouse best practices.
Key Responsibilities:
Data Warehouse Development
- Build and maintain ETL/ELT processes to load data into the warehouse from various internal/external sources
- Develop and manage warehouse schemas, tables, and views to support analytics and reporting
- Implement data quality checks, validation, and lineage tracking
Data Modeling & Performance Tuning
- Design efficient star/snowflake schemas for reporting and BI tools
- Write optimized SQL for data transformations and queries
- Monitor and tune warehouse performance (partitioning, indexing, clustering)
Automation & Orchestration
- Use workflow/orchestration tools (Airflow, Prefect, dbt, Dagster or similar) to automate warehouse pipelines
- Develop reusable Python scripts/libraries for data transformations
Collaboration & Support
- Work closely with analysts, BI developers and data scientists to understand data needs
- Provide analytics-ready datasets and documentation
- Support troubleshooting and resolve data issues in the warehouse
Required Qualifications:
Technical Skills
- 2–4 years of experience in data engineering or data warehouse development
- Strong SQL skills; experience with relational databases and data warehousing concepts
- Proficiency in Python for ETL/ELT and data processing (pandas, PySpark or similar)
- Familiarity with data modeling (star/snowflake, dimensional modeling)
- Exposure to at least one modern cloud data warehouse (Snowflake, BigQuery, Redshift, Synapse, etc.)
- Basic understanding of cloud services (AWS/GCP/Azure)
Soft Skills
- Good problem-solving and analytical thinking
- Ability to write clear documentation for data models and pipelines
- Effective communication with both technical and non-technical stakeholders
- Eagerness to learn and improve warehouse best practices
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