- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and design appropriate solutions. - Work closely with IT and infrastructure teams to deploy and maintain data storage and processing systems, including databases, data warehouses, and cloud infrastructure. - Design, build, and maintain robust, scalable data pipelines to ingest, process, and transform data from various sources, including internal databases and external APIs. - Optimize data pipelines for performance, scalability, and reliability, ensuring timely and accurate delivery of data. - Implement data validation and quality checks to identify and rectify any issues in data pipelines, ensuring data integrity. - Explore and evaluate new technologies, tools, and frameworks to improve data engineering processes and capabilities. - Perform data modeling and schema design to support analytical and reporting requirements. - Design and build data marts and business layers to facilitate efficient data access and analysis. - Bachelor’s degree in Computer Science, Information Systems, or other related technical field or equivalent work. - Proven experience as a Data engineer or similar role, with at least 4 years of experience. - Advanced SQL knowledge/experience - complex queries and query optimization. - Proficiency in programming languages such as Python. - Experienced in the development of data warehouses and proficient in data modeling. - Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform. - Experience in building data streams using technologies such as Kafka, Flink, or Spark Streaming is considered a plus. - Strong problem-solving skills and attention to detail. - The ability and willingness to learn new technologies on the job. - Self driven, highly motivated, fast learner, ambitious and creative.