About this role
AuxoAI is seeking a skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will have
3+ years of prior experience in data engineering, with a strong background in AWS (Amazon Web Services) and
Databricks 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
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Design, develop, and maintain scalable data pipelines and ETL processes leveraging AWS services such as S3,
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Glue, EMR, Lambda, and Databricks.
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Collaborate with data scientists and analysts to understand data requirements and implement solutions that
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support analytics and machine learning initiatives.
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Optimize data storage and retrieval mechanisms to ensure performance, reliability, and cost-effectiveness.
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Implement data governance and security best practices to ensure compliance and data integrity.
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Troubleshoot and debug data pipeline issues, providing timely resolution and proactive monitoring.
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Stay abreast of emerging technologies and industry trends, recommending innovative solutions to enhance
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data engineering capabilities.
Requirements
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Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
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3+ years of prior experience in data engineering, with a focus on designing and building data pipelines.
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Proficiency in Databricks, AWS services, particularly S3, Glue, EMR, Lambda, and Redshift.
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Strong programming skills in languages such as Python, Java, or Scala.
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Experience with SQL and NoSQL databases, data warehousing concepts, and big data technologies.
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Familiarity with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools (e.g.,
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Apache Airflow) is a plus.