AuxoAI

Sr Data Engineer

AuxoAI Bengaluru, Karnataka, India

Software Development · 201-500 employees

15 h ago
data-engineer Senior (5-10 yrs) Full-time India
Create a free account to apply — email only, no card. You can also save this posting or score it against your profile with AI.

About the role

Design, develop, and maintain scalable data pipelines and ETL processes using AWS services, Databricks, and Snowflake. Collaborate with cross-functional teams to optimize data storage and support analytics and machine learning initiatives.

What they look for

AWS Databricks Snowflake Python Java Scala SQL NoSQL ETL Data Pipelines S3 Glue EMR Lambda Redshift Data Warehousing

Requirements

Requires a Bachelor's or Master's degree in Computer Science or a related field. Candidates must have 5+ years of experience in data engineering with proficiency in AWS, Python, SQL, and big data technologies.

Full description

Role: Sr Data Engineer

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.

Similar roles