Senior Data Engineer - AWS

AuxoAI Inc.

Hyderabad

On-site

INR 2,800,000 - 4,200,000

Full time

14 days+

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Job summary

AuxoAI Engineering Pvt. Ltd. in Hyderabad is seeking a seasoned Data Engineer with 6+ years of experience to design, build, and optimize scalable data pipelines on AWS.

You will collaborate with data scientists and analysts, implement governance, and ensure performance, security, and cost-effectiveness across S3, Glue, EMR, Lambda, and Redshift.

Strong programming in Python/Java/Scala and experience with SQL/NoSQL databases are essential; Docker/Kubernetes and Apache Airflow are a plus.

Qualifications

  • 6+ years of data engineering experience.
  • Experience building data pipelines on AWS.
  • Strong programming in Python/Java/Scala and SQL/NoSQL.

Responsibilities

  • Design, develop, and maintain scalable data pipelines on AWS (S3, Glue, EMR, Lambda, Redshift).
  • Collaborate with data scientists and analysts to meet analytics needs.
  • Optimize storage, performance, and cost while ensuring data governance.
  • Implement data security best practices and data integrity controls.
  • Troubleshoot pipelines and monitor for reliability and scale.
  • Stay updated on emerging data engineering technologies.

Skills

Python
Java/Scala
SQL/NoSQL
Data pipelines
AWS technologies
Data governance & security
Troubleshooting & optimization
Collaboration

Education

Bachelor's or Master's degree in Computer Science / Engineering

Tools

AWS S3
AWS Glue
AWS EMR
AWS Lambda
AWS Redshift
Docker
Kubernetes
Apache Airflow

Job description

AuxoAI Engineering Pvt. Ltd. | Full time

AuxoAI is a global platform-based services firm. We help companies -turn their strategies into practical digital and AI solutions. By understanding how our clients make decisions, we use digital and Artificial Intelligence (AI) technologies to drive growth, enhance their operations, improve customer experiences, and provide clear, actionable insights from their data.

What We Do

We work across various industries such as healthcare, high-tech, consumer packaged goods (CPG), finance etc., and in sales, marketing, and customer support functions.

We help our clients with accelerating their digital and AI journeys through:

  • Data, Digital and Cloud acceleration using AI

We are 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 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.
  • 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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