Data Engineer - AWS/Databricks
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Salary
≈ $16k – $39k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Middle · 3+ years exp
Employment
Full-Time
Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Oct 16, 2026. AuxoAI scores B on the Alion truth index.
Overview
Company
Impact
Profile match
AuxoAI is an AI services and software company based in Milpitas, California, that pairs forward-deployed engineers with agentic AI to build production AI systems for large enterprises. It combines business consulting, data modernization and applied AI with its own products, including the Damia workbench and the Echo market intelligence tool, reports more than 30 enterprise clients in consumer goods, retail, telecom, semiconductors, software and healthcare, and has Indian offices in Mumbai, Bengaluru, Hyderabad and Gurgaon. It hires data engineers, full stack and forward-deployed engineers, applied scientists, AI product and program managers and cloud solution architects.
AuxoAI is seeking a skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will have 3+ years of prior experience in data engineering, with a strong background in AWS (Amazon Web Services) and Databricks 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 Databricks.
- 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.
- 3+ years of prior experience in data engineering, with a focus on designing and building data pipelines.
- Proficiency in Databricks, 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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