Data Engineer (Remote)

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<p>The Data Engineer is responsible for developing and maintaining data pipelines to support data ingestion, transformation, and integration within a scalable data platform. This role ensures that data from multiple sources is processed efficiently, securely, and with high quality standards.</p><h4>Responsibilities</h4><ul><li>Develop and maintain data ingestion pipelines from multiple sources</li><li>Build ETL/ELT processes for data transformation</li><li>Integrate structured and unstructured data into data platforms</li><li>Implement incremental and automated data ingestion processes</li><li>Ensure data quality through validations and monitoring</li><li>Perform data cleaning and normalization tasks</li><li>Optimize pipelines for performance and scalability</li><li>Document data pipelines and data structures</li><li>Collaborate with cross-functional teams to support data initiatives</li></ul><h4>Requirements</h4><ul><li>Bachelor’s degree in Computer Science, Engineering, or related field</li><li>Experience in data engineering or data pipeline development</li><li>Knowledge of ETL/ELT processes and data integration concepts</li><li>Experience with cloud-based data platforms (AWS or similar)</li><li>Experience working with APIs and database integrations</li><li>Proficiency in SQL and scripting languages (Python or similar)</li><li>Familiarity with distributed data processing frameworks</li></ul><h4>Nice to Have</h4><ul><li>Experience with AWS data services</li><li>Knowledge of infrastructure as code tools</li><li>Familiarity with data lake architectures</li><li>Experience with Spark or similar technologies</li><li>Experience with data pipeline orchestration tools</li></ul><h4>Soft Skills</h4><ul><li>Analytical thinking</li><li>Problem-solving skills</li><li>Collaborative mindset</li><li>Attention to detail</li></ul>

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