Gurugram, Haryana, India
Finance & Banking
Full-Time
AuxoAI
Overview
Role Summary
AuxoAI is seeking a skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will have 6- 10 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
AuxoAI is seeking a skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will have 6- 10 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.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 6-10 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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