EDW Developer (Enterprise Data Warehouse Developer)

As an EDW Developer, your role involves supporting enterprise-scale data warehousing and analytics initiatives. You will be responsible for designing scalable data warehouse solutions, developing data pipelines, ensuring data quality and governance, and collaborating with stakeholders to deliver reliable analytical data platforms. Key Responsibilities: - Design and implement scalable Enterprise Data Warehouse (EDW) solutions, including Star Schema, Snowflake Schema, and Relational Data Models. - Optimize database structures for high-performance querying. - Develop, maintain, and automate ETL/ELT data pipelines. - Extract data from multiple operational systems, transform, cleanse, and load into data warehouse environments. - Implement data validation, reconciliation, and quality checks. - Collaborate with Data Analysts, Data Scientists, Business Stakeholders, and Reporting Teams to gather requirements and deliver data solutions. Qualifications Required: - Strong experience in Enterprise Data Warehousing (EDW). - Hands-on expertise in dimensional data modeling and ETL/ELT development. - Proficiency in SQL, database development, and working with large-scale datasets. - Knowledge of data quality, governance, and validation processes. - Good analytical, troubleshooting, and communication skills. The company prefers candidates with exposure to cloud-based data warehouse platforms, experience with BI/reporting tools, knowledge of performance optimization techniques, and familiarity with data orchestration and scheduling tools. If you are interested in this position, you are required to have a Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field. As an EDW Developer, your role involves supporting enterprise-scale data warehousing and analytics initiatives. You will be responsible for designing scalable data warehouse solutions, developing data pipelines, ensuring data quality and governance, and collaborating with stakeholders to deliver reliable analytical data platforms. Key Responsibilities: - Design and implement scalable Enterprise Data Warehouse (EDW) solutions, including Star Schema, Snowflake Schema, and Relational Data Models. - Optimize database structures for high-performance querying. - Develop, maintain, and automate ETL/ELT data pipelines. - Extract data from multiple operational systems, transform, cleanse, and load into data warehouse environments. - Implement data validation, reconciliation, and quality checks. - Collaborate with Data Analysts, Data Scientists, Business Stakeholders, and Reporting Teams to gather requirements and deliver data solutions. Qualifications Required: - Strong experience in Enterprise Data Warehousing (EDW). - Hands-on expertise in dimensional data modeling and ETL/ELT development. - Proficiency in SQL, database development, and working with large-scale datasets. - Knowledge of data quality, governance, and validation processes. - Good analytical, troubleshooting, and communication skills. The company prefers candidates with exposure to cloud-based data warehouse platforms, experience with BI/reporting tools, knowledge of performance optimization techniques, and familiarity with data orchestration and scheduling tools. If you are interested in this position, you are required to have a Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.