Senior Data Engineer - AWS

JobCubby; Hyderabad; On-site; INR 2,000,000 - 4,200,000; Full time

Job summary

AuxoAI is seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines on AWS. The role involves collaborating with cross-functional teams to support analytics and ML initiatives, while optimizing storage, performance, and cost.

You will implement governance and security Best practices and stay current with emerging data engineering technologies. The ideal candidate has 6+ years of data engineering experience, strong AWS expertise, and proficiency in Python, Java, or

Qualifications

• 6+ years of data engineering experience.
• Strong proficiency in AWS and programming languages like Python, Java, or Scala.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes using AWS services (S3, Glue, EMR, Lambda, Redshift).
• Collaborate with data scientists and analysts to implement data solutions for analytics and ML initiatives.
• Optimize data storage and retrieval for performance, reliability, and cost-efficiency.
• Implement data governance and security best practices to ensure integrity and compliance.
• Troubleshoot and resolve data pipeline issues with timely monitoring and debugging.
• Stay updated with emerging data engineering technologies to enhance capabilities.

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

AWS

Python

Java

Scala

SQL

NoSQL

Job description

to apply - email only, no card. You can also save this posting or score it againstyour profile with AI.## About the roleDesign, develop, and maintain scalable data pipelines and ETL processes using AWS services. Collaborate with cross-functional teams to implement data solutions that support analytics and machine learning initiatives.## RequirementsRequires a Bachelor's or Master's degree in Computer Science or a related field. Candidates must have 6+ years of experience in data engineering with strong proficiency in AWS and programming languages like Python, Java, or Scala.## Full descriptionAbout AuxoAI: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:* AI Application Development* Data, Digital and Cloud acceleration using AI* AI Native Product EngineeringWe 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.