> Markdown version of [/jobs/ext/4012365-data-warehouse-developer](https://www.wearedevelopers.com/jobs/ext/4012365-data-warehouse-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Warehouse Developer

- **Company:** Ova Technologies
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Sql Data Warehouse, Application Programming Interfaces (APIs), Airflow, Microsoft Azure, Business Intelligence Development, Big Data, Cloud Database, Databases, Data Cleansing, Data Governance, Data Integration, Extract Transform Load (ETL), Data Mining, Data Security, Data Warehousing, Database Queries, Database Schema, IBM InfoSphere DataStage, DevOps, Revision Control Systems, Apache Hadoop, Apache Hive, Python (Programming Language), PostgreSQL, Meta-Data Management, Microsoft SQL Server, MySQL, Oracle (Applications), Performance Tuning, Query Optimization, Power BI, Shell Script, SQL Stored Procedures, SQL Databases, SQL Server Integration Services, Tableau (Software), Talend, Teradata SQL, Freeform SQL, Google Cloud, Informatica Powercenter, Snowflake, Apache Spark, Git, Information Technology, Qlikview, Star Schema, Google Bigquery, AWS Data Analytics, Apache Kafka, Tools for Reporting, Azure Synapse Analytics, Looker Analytics, Amazon Redshift, Programming Languages
- **Published:** October 29, 2026
- **Apply:** https://www.thejobnetwork.com/job/95884ed9-1afe-4ca4-ad2c-946b4ea91e0c/data-warehouse-developer

## About the Role

* Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
 * Experience in data warehouse development and database technologies.
 * Strong knowledge of:
 + Data warehousing concepts
 + ETL/ELT processes
 + Data modeling techniques
 + Data integration patterns
 + SQL programming
 * Hands-on experience with databases such as:
 + Oracle
 + Microsoft SQL Server
 + PostgreSQL
 + MySQL
 + Teradata
 + Snowflake
 * Experience with ETL tools such as:
 + Informatica PowerCenter
 + Talend
 + SSIS
 + DataStage
 + Apache Airflow
 + dbt
 * Strong SQL skills including complex queries, stored procedures, optimization, and performance tuning.
 * Understanding of data quality, metadata management, and data governance.

Preferred Skills

 * Experience with cloud data warehouse platforms:
 + Amazon Redshift
 + Snowflake
 + Google BigQuery
 + Azure Synapse Analytics
 * Knowledge of BI and reporting tools:
 + Power BI
 + Tableau
 + Looker
 + QlikView
 * Experience with big data technologies:
 + Apache Spark
 + Hadoop
 + Kafka
 + Hive
 * Familiarity with Python, Shell scripting, or other programming languages.
 * Experience with DevOps practices and version control tools such as Git.

Preferred Certifications

 * Cloud Data Engineering Certifications
 * Snowflake Certification
 * Microsoft Azure Data Engineer Certification
 * AWS Data Analytics Certification
 * Google Cloud Data Engineer Certification

Soft Skills

 * Strong analytical and problem-solving skills.
 * Good understanding of business data requirements.
 * Strong communication and documentation abilities.
 * Ability to work independently and collaborate with cross-functional teams., * 2 4 years: Data Warehouse Developer
 * 4 7 years: Senior Data Warehouse Developer
 * 7 years: Lead Data Warehouse Developer

## Description

We are seeking a skilled Data Warehouse Developer responsible for designing, developing, and maintaining enterprise data warehouse solutions. The role involves data modeling, ETL development, data integration, reporting support, and performance optimization to enable accurate and reliable business intelligence and analytics., * Design, develop, and maintain data warehouse solutions based on business requirements.

 * Develop and maintain ETL/ELT processes for data extraction, transformation, and loading.
 * Create data models including star schema, snowflake schema, fact tables, and dimension tables.
 * Design and optimize complex SQL queries, stored procedures, views, and database objects.
 * Integrate data from multiple sources including databases, APIs, applications, and external systems.
 * Perform data cleansing, validation, transformation, and quality checks.
 * Optimize data warehouse performance through indexing, partitioning, and query tuning.
 * Develop and maintain data pipelines and workflow processes.
 * Collaborate with data analysts, BI developers, business users, and application teams.
 * Troubleshoot data loading issues, data discrepancies, and performance problems.
 * Maintain technical documentation including data models, mappings, and ETL workflows.
 * Support data warehouse upgrades, migrations, and enhancements.
 * Ensure data security, governance, and compliance standards are followed.