Auxo AI - Data Engineer

Auxo AI; Gurugram District; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Auxo AI is seeking a skilled Data Engineer to join our team in Gurugram. You will design, build, and optimize scalable data pipelines using AWS services such as S3, Glue, EMR, Lambda, and Redshift.

You will work with data scientists and analysts to implement data solutions that support analytics and machine learning initiatives. The role requires 6+ years of data engineering experience, strong programming in Python/Java/Scala, and a solid grasp of SQL/NoSQL, data warehousing, and big data

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 6+ years of data engineering experience with a focus on building data pipelines.
• Proficiency in AWS services—S3, Glue, EMR, Lambda, Redshift.
• Strong programming skills in Python, Java, or Scala.
• Experience with SQL and NoSQL databases, data warehousing, and big data tech.
• Familiarity with Docker, Kubernetes, and Apache Airflow is a plus.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL processes on AWS.
• Collaborate with data scientists and analysts to support analytics and ML initiatives.
• Optimize data storage and retrieval for performance, reliability, and cost.
• Implement data governance and security best practices.
• Troubleshoot data pipeline issues and provide proactive monitoring.
• Stay updated on emerging data engineering technologies and trends.

Skills

AWS

Python

Java

Scala

SQL

NoSQL

Data pipelines

Education

Bachelor's or Master's in CS/Engineering

Tools

Docker

Kubernetes

Apache Airflow

AWS Glue

AWS S3

AWS Redshift

Job description

Role

AuxoAI is 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 :

• 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.