Sr Data Engineer

AuxoAI Engineering; Bengaluru Urban; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

AuxoAI is seeking a skilled and experienced Data Engineer to join our Bangalore-based team. The ideal candidate has 5+ years of data engineering experience and strong expertise in AWS, Databricks, and Snowflake to design, build, and optimize data pipelines.

You will collaborate with data scientists and analysts, implement scalable ETL processes, ensure data governance, and stay current with new technologies while delivering reliable and cost-efficient data infrastructure.

Qualifications

• 5+ years of data engineering experience in designing and building data pipelines.
• Strong programming skills in Python, Java, or Scala.
• Hands-on experience with AWS services and modern data warehouses.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes using AWS services and Databricks.
• Collaborate with data scientists and analysts to fulfill data requirements for analytics and ML.
• Optimize data storage and retrieval for performance, reliability, and cost.
• Implement data governance and security best practices.
• Troubleshoot data pipelines and monitor data quality in production.
• Stay updated with new technologies and propose innovative data engineering solutions.

Skills

5+ years data engineering

ETL design

Data modeling

collaboration with Data Scientists

Education

Bachelors/Master's in CS/Engineering

Tools

Databricks

Snowflake

AWS (S3, Glue, EMR, Lambda)

Redshift

Airflow

Docker

Kubernetes

Job description

Bangalore South, India | Posted on 09/15/2026

Location

Bangalore, Hyderabad, Mumbai, and Gurgaon

Experience

5+ Years

Role Summary

AuxoAI is seeking a skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will have 5+ years of prior experience in data engineering, with a strong background in AWS (Amazon Web Services) Databricks and Snowflake 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, Data bricks and Snowflake.


• 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.


• 5+ years of prior experience in data engineering, with a focus on designing and building data pipelines.


• Proficiency in Data bricks, Snowflake, 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.