<p>We are seeking a Data Engineer responsible for designing, building, and maintaining the architecture and infrastructure needed to collect, store, process, and analyze large datasets efficiently. Someone with experience in a critical role supporting analytics and business intelligence teams by ensuring data is accessible, reliable, and ready for downstream use. </p><p><strong>Responsibilities:</strong></p><ul><li>Design, build, and maintain scalable data pipelines and architectures.</li><li>Develop processes for data collection, transformation, and storage to support analytics, reporting, and business intelligence.</li><li>Clean, organize, and validate large volumes of data from various sources.</li><li>Optimize data workflows for performance and reliability.</li><li>Collaborate with data scientists, analysts, and software engineers to meet business data needs.</li><li>Implement security, data governance, and compliance controls.</li><li>Troubleshoot data issues and ensure data consistency and quality.</li></ul><p><br></p>

<p><strong>Requirements:</strong></p><ul><li>Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field, or equivalent. </li><li>Proven experience as a Data Engineer or in a similar role.</li><li>Proficiency with SQL, relational and non-relational databases.</li><li>Experience with data pipeline tools and ETL frameworks (e.g., Apache Airflow, Talend).</li><li>Knowledge of programming languages such as Python, Java, or Scala.</li><li>Familiarity with cloud platforms (AWS, Azure, Google Cloud) and big data technologies (Spark, Hadoop).</li><li>Strong problem-solving, organizational, and communication skills.</li></ul><p><br></p>

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