Senior Data Engineer

<ul>
<li>Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and design appropriate solutions.</li>
<li>Work closely with IT and infrastructure teams to deploy and maintain data storage and processing systems, including databases, data warehouses, and cloud infrastructure.</li>
<li>Design, build, and maintain robust, scalable data pipelines to ingest, process, and transform data from various sources, including internal databases and external APIs.</li>
<li>Optimize data pipelines for performance, scalability, and reliability, ensuring timely and accurate delivery of data.</li>
<li>Implement data validation and quality checks to identify and rectify any issues in data pipelines, ensuring data integrity.</li>
<li>Explore and evaluate new technologies, tools, and frameworks to improve data engineering processes and capabilities.</li>
<li>Perform data modeling and schema design to support analytical and reporting requirements.</li>
<li>Design and build data marts and business layers to facilitate efficient data access and analysis.</li>
</ul><h2>Requirements</h2><ul>
<li>Bachelor’s degree in Computer Science, Information Systems, or other related technical field or equivalent work.</li>
<li>Proven experience as a Data engineer or similar role, with at least 4 years of experience.</li>
<li>Advanced SQL knowledge/experience - complex queries and query optimization.</li>
<li>Proficiency in programming languages such as Python.</li>
<li>Experienced in the development of data warehouses and proficient in data modeling.</li>
<li>Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.</li>
<li>Experience in building data streams using technologies such as Kafka, Flink, or Spark Streaming is considered a plus.</li>
<li>Strong problem-solving skills and attention to detail.</li>
<li>The ability and willingness to learn new technologies on the job.</li>
<li>Self driven, highly motivated, fast learner, ambitious and creative.</li>
</ul>