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Data Engineer

AuxoAI · Hyderabad, Telangana, India

Mixed hiring record · median 50 days open

9898

Hiring signal

Actively hiring

Still listed on the employer's own board · How we score

All reasons
  • 47% of this employer's openings are over 60 days old

In its favour

  • Still listed on the employer's own board

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Data Engineer at AuxoAI. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Role

Data Engineer

Experience

4-7 Years

Location

Hyderabad/Bangalore/Mumbai/Gurgaon(Hybrid)

Role Summary

AuxoAI is seeking a skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will have 6-8 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.
  • 4-7 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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