Sr Data Engineer

AuxoAI Inc.; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

AuxoAI Inc. is looking for an experienced Data Engineer to join our Bengaluru team. The candidate will design and optimize data pipelines, integrating AWS services, Databricks and Snowflake to support analytics and ML initiatives.

Ideal candidates have 5+ years in data engineering, strong coding skills (Python/Java/Scala), and experience with SQL/NoSQL databases. Knowledge of Docker, Kubernetes and Airflow is a plus, with on-site work in Bengaluru, India.

Qualifications

• 5+ years of data engineering experience with building data pipelines and infrastructure.
• Strong experience with Databricks, Snowflake and AWS services (S3, Glue, EMR, Lambda, Redshift).
• Proficient in Python, Java or Scala and SQL.
• Familiarity with Docker/Kubernetes and Apache Airflow is a plus.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes using AWS services and Snowflake.
• Collaborate with data scientists and analysts to translate data needs into solutions.
• Optimize storage, retrieval, and performance of data assets for cost and reliability.
• Implement data governance and security best practices to ensure data integrity.
• Troubleshoot data pipelines and monitor systems proactively.
• Stay updated with emerging data engineering technologies and trends.

Skills

Databricks

Snowflake

AWS

Python

Java/Scala

SQL

NoSQL

Airflow

Docker/Kubernetes

Education

Bachelor's or Master's in CS/Engineering or related

Tools

S3

Glue

EMR

Lambda

Redshift

Data bricks

Snowflake

SQL/NoSQL Databases

Docker

Kubernetes

Apache Airflow

Job description

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

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.