Role Overview
AuxoAI is hiring a mid-level Data Engineer - AWS/Databricks. This is a full-time role in Hyderabad. Part of AuxoAI's Data Engineering hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
Role Summary:
AuxoAI is seeking a skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will have 3-8 years of prior experience in data engineering, with a strong background in working on modern data platforms. 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 data pipelines using Databricks (PySpark / Spark SQL)
- Build and manage data pipelines across Bronze, Silver, and Gold layers using Delta Lake
- Implement ETL/ELT workflows for batch and near real-time processing
- Work with Databricks Workflows for orchestration and job scheduling
- Leverage Unity Catalog for data governance, access control, and metadata management
- Optimize Spark jobs, cluster configurations, and cost efficiency
- Collaborate with business and analytics teams to translate requirements into scalable data models
- Integrate data from multiple sources (APIs, databases, cloud storage)
- Ensure data quality, validation, and observability across pipelines
- Troubleshoot and debug data pipeline issues, providing timely resolution and proactive monitoring
Qualifications
- Bachelor’s degree in computer science, Engineering, or a related field.
- Overall 3+ years of prior experience in data engineering, with a focus on designing and building data pipelines
- Hands-on experience with Databricks platform and ecosystem
- Strong proficiency in Python (PySpark) and SQL
- Experience working with Delta Lake (ACID transactions, time travel, schema evolution)
- Good understanding of data warehousing concepts and dimensional modeling
- Familiarity with Unity Catalog (data governance, RBAC, lineage basics)
- Understanding of Spark performance tuning and optimization techniques
- Experience with cloud platforms (AWS / Azure / GCP)
- Working knowledge of Git and CI/CD practices
- Familiarity with implementing CI/CD processes or other orchestration tools is a plus.
Frequently Asked Questions
How do I apply for the Data Engineer - AWS/Databricks position at AuxoAI?
Use the Apply button above to submit your application directly to AuxoAI. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Data Engineer - AWS/Databricks position at AuxoAI located?
This position is based in Hyderabad. AuxoAI has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Data Engineer - AWS/Databricks at AuxoAI earn?
AuxoAI has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Data Engineer - AWS/Databricks role at AuxoAI posted?
This role was posted on April 4, 2026 (65 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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