AuxoAI is seeking a skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will have 3- 5 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.
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Requirements
Bachelors or Masters degree in Computer Science Engineering or a related field.
3-6 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.
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Required Skills:
Qualifications:
AuxoAI is seeking a skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will have 3- 5 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 project...
AuxoAI is seeking a skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will have 3- 5 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
Bachelors or Masters degree in Computer Science Engineering or a related field.
3-6 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.
|
Required Skills:
Qualifications:
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