We are looking for a Data Engineer to join our growing data and analytics team. This role is ideal for professionals with experience in enterprise data warehousing, ETL development, and business intelligence solutions, including SAP BW consultants seeking to expand their expertise into modern cloud data platforms.
As a Data Engineer, you will design, build, and optimize scalable data pipelines that power critical business insights and analytics. You will work with cutting-edge technologies including Python, Databricks, and Snowflake while collaborating closely with business stakeholders, analysts, and data professionals across the organization.
Key Responsibilities
- Design, develop, and maintain robust ETL/ELT workflows for efficient data integration and transformation.
- Build scalable data pipelines using Python, Databricks, and Snowflake to support enterprise reporting and analytics.
- Integrate data from multiple source systems, including ERP, SAP, cloud applications, and external platforms.
- Optimize data processing performance, data quality, and reliability across the data ecosystem.
- Collaborate with business users, analysts, and technical teams to understand data requirements and deliver effective solutions.
- Monitor, troubleshoot, and continuously improve data pipeline performance and operational stability.
- Participate in data modeling, data warehouse design, and analytics architecture initiatives.
- Document data flows, technical specifications, and integration processes to support maintainability and knowledge sharing.
- Stay current with emerging technologies, cloud data platforms, and industry best practices.
