Your role and responsibilities

As a Data Engineer specializing in Data Warehouses, you will design, develop, and integrate data management systems, leveraging tools like Teradata, Snowflake, and analytics solutions. You will utilize your analytical and problem-solving skills to ensure the effective and effective management of large-scale data systems.

Your primary responsibilities will include:

- Design Data Management Systems: Create complex application components and integrate software packages, programs, and reusable objects across various platforms to support data warehouse development.
- Develop Data Warehouses: Utilize tools like Teradata, Snowflake, and analytics solutions to build and maintain large-scale data systems, ensuring efficient data management and integration.
- Integrate Data Solutions: Apply analytical and problem-solving skills to integrate data management systems, resolving technical issues and optimizing system performance.
- Ensure Data Efficiency: Monitor and optimize data systems to ensure efficient and effective management of large-scale data, identifying areas for improvement and implementing solutions.
- Solve Technical Issues: Collaborate with teams to resolve technical issues related to data warehouse development and integration, applying analytical and problem-solving skills to ensure timely resolution.

Required education

Bachelor's Degree

Preferred education

Master's Degree

Required technical and professional expertise

- Exposure to Data Warehouse Development:



Experience working with data management systems, including designing, developing, and integrating data warehouses using tools like Teradata, Snowflake, and analytics solutions.

- Data Integration Expertise: Exposure to integrating software packages, programs, and reusable objects across various platforms to support data warehouse development.
- Analytical Problem-Solving: Experience working with analytical and problem-solving skills to ensure the productive and effective management of large-scale data systems.

- Data Management Knowledge: Exposure to creating complex application components and utilizing tools like Teradata, Snowflake, and analytics solutions to build and maintain large-scale data systems.

- Technical Issue Resolution: Experience working collaboratively to resolve technical issues related to data warehouse development and integration. Preferred technical and professional experience

- Proficiency in Analytics Tools: Exposure to utilizing analytics solutions to build and maintain large-scale data systems, ensuring efficient data management and integration.
- Complex Application Development: Experience working with creating complex application components and integrating software packages, programs, and reusable objects across various platforms.

- Data System Optimization: Exposure to monitoring and optimizing data systems to ensure efficient and effective management of large-scale data, identifying areas for improvement and implementing solutions.

Years of Experience:

3 - 5

📌 Data Engineer-Data Warehouse (Hyderabad)
🏢 IBM
📍 Hyderabad