Senior Data Engineer - AWS

**About AuxoAI:** AuxoAI is a global platform-based services firm. We help companies—turn their strategies into practical digital and AI solutions. By understanding how our clients make decisions, we use digital and Artificial Intelligence (AI) technologies to drive growth, enhance their operations, improve customer experiences, and provide clear, actionable insights from their data. What We Do We work across various industries such as healthcare, high-tech, consumer packaged goods (CPG), finance etc., and in sales, marketing, and customer support functions. We help our clients with accelerating their digital and AI journeys through: • AI Application Development • Data, Digital and Cloud acceleration using AI • AI Native Product Engineering We are seeking a skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will have 6+ years of prior experience in data engineering, with a strong background in AWS (Amazon Web Services) technologies. This role offers an exciting opportunity to work on diverse projects, collaborating with cross-functional teams to design, build, and optimize data pipelines and infrastructure. **Responsibilities**: * Design, develop, and maintain scalable data pipelines and ETL processes leveraging AWS services such as S3, Glue, EMR, Lambda, and Redshift. * Collaborate with data scientists and analysts to understand data requirements and implement solutions that support analytics and machine learning initiatives. * Optimize data storage and retrieval mechanisms to ensure performance, reliability, and cost-effectiveness. * Implement data governance and security best practices to ensure compliance and data integrity. * Troubleshoot and debug data pipeline issues, providing timely resolution and proactive monitoring. * Stay abreast of emerging technologies and industry trends, recommending innovative solutions to enhance data engineering capabilities. **Requirements :** * Bachelor's or Master's degree in Computer Science, Engineering, or a related field. * 6+ years of prior experience in data engineering, with a focus on designing and building data pipelines. * Proficiency in AWS services, particularly S3, Glue, EMR, Lambda, and Redshift. * Strong programming skills in languages such as Python, Java, or Scala. * Experience with SQL and NoSQL databases, data warehousing concepts, and big data technologies. * Familiarity with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools (e.g., Apache Airflow) is a plus.