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Data Warehouse Engineer

Data Warehouse Engineer

Leader IT Private LimitedSnowflake, AZ, US
22 hours ago
Job type
  • Full-time
Job description

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
  • 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

    • Skills Required

    Python, SQL, Cloud Platforms, Data modeling, Data Warehouse Engineering, ETL / ELT, Dimensional Modeling, Cloud Data Warehouses, Snowflake, BigQuery, Redshift, Synapse, Workflow Orchestration, Airflow, Analytics, Agile Software Development

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    Data Engineer • Snowflake, AZ, US

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