We are seeking a highly skilled Staff Data Engineer to work closely with enterprise clients in designing, building, and optimizing modern data solutions. This role blends strong technical expertise with client-facing responsibilities, requiring the ability to deliver scalable data integration and virtualization solutions while ensuring performance, reliability, and user adoption. The ideal candidate will play a key role in troubleshooting complex issues, enabling seamless data access, and guiding clients through best practices and implementation strategies. Key Responsibilities • Provide technical consulting, training, and support for data integration and virtualization solutions • Troubleshoot and resolve complex issues across data platforms and environments • Collaborate with clients and internal teams to design and implement tailored data solutions • Deliver technical presentations, workshops, and product training sessions • Support integration with enterprise systems, APIs, and cloud platforms • Handle escalations and proactively enhance system performance and efficiency • Contribute to documentation, knowledge base, and best practices • Build strong client relationships and manage expectations effectively • Assist in developing customized deployments based on business needs • Stay updated with emerging technologies and industry trends Key Skills & Qualifications • 7–12 years of experience in Data Engineering, Data Integration, Data Virtualization, or Data Warehousing • Strong expertise in SQL and relational/analytical databases • Hands-on experience with ETL processes and data integration tools • Knowledge of JDBC, XML, and Web Services APIs • Familiarity with cloud platforms such as AWS, Azure, or GCP • Experience with version control systems like Git • Exposure to Big Data or NoSQL technologies (e.g., Hadoop, MongoDB) • Solid understanding of enterprise architecture and system integration • Strong analytical, troubleshooting, and problem-solving skills • Excellent communication and client management abilities Apply by sending your CV to [email protected]