[Hiring] Data Engineer @Xperteez Technology

Role Description

We are looking for a Data Engineer to build and scale the data infrastructure that powers AI-driven products and research initiatives. In this role, you will:

• Develop distributed data pipelines.
• Manage large-scale datasets across cloud environments.
• Design reliable data systems that support data processing, experimentation, and model development at scale.

Qualifications

• Strong proficiency in Python, SQL, and distributed data processing frameworks such as Apache Spark.
• Hands-on experience with AWS data services and cloud-native data architectures.
• Experience working with both SQL and NoSQL databases.
• Experience managing and processing large-scale datasets in distributed environments.
• Strong understanding of data partitioning, performance optimization, and scalable data architectures.

Requirements

• Design, build, and maintain scalable data pipelines to ingest, process, and transform large-scale datasets from multiple sources.
• Develop and optimize distributed data processing workflows using Spark and cloud-native technologies.
• Build and maintain data storage solutions across SQL and NoSQL systems, ensuring scalability, performance, and reliability.
• Design and implement data architectures on AWS to support high-volume data ingestion, processing, and distribution.
• Write efficient Python and SQL code to extract, transform, validate, and analyze large datasets.
• Ensure data quality, integrity, monitoring, and operational reliability across data pipelines and storage layers.
• Collaborate with AI researchers, data scientists, and engineering teams to support data-intensive applications and experimentation.
• Implement automation, orchestration, and monitoring workflows to support scalable and efficient data operations.

Benefits

• All employees are eligible for equity compensation.
• Performance-based bonuses, dependent on role and subject to company policies.
• Comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums.
• Paid time off.
• 401(K) plan with a company match.
• Additional benefits designed to support a high-performing, remote-first workforce.