Data Engineer
Aqusag Technologies Noida
Job Description
Experience: 3+ yearsJob Type: Full-time (Contractual / Freelancing)
Location: Remote
Required Skills: Python, Mysql, Postgresql, Java, Javascript, Ai
Job Summary
We are seeking an expert Data Engineer to join our team and play a pivotal role in developing next-generation AI agents. In this fully remote role, you will leverage your strong data engineering, coding, and AI/ML expertise to help train and optimize advanced AI systems.Collaborate with talented professionals in a dynamic environment where your technical skills and innovative mindset will directly impact the project's success.
Key Responsibilities- Design, implement, and manage data pipelines to support complex AI agent training initiatives.
- Collaborate closely with AI/ML engineers to ensure efficient data flows and high-quality training datasets.
- Develop and maintain scalable ETL processes using Python, MySQL, and PostgreSQL.
- Utilize JAVA and JavaScript to integrate diverse data sources and enable seamless data exchange.
- Contribute to the optimization of AI models through effective data engineering practices.
- Document data processes comprehensively and communicate technical concepts clearly to both technical and non-technical stakeholders.
- Troubleshoot and resolve data issues, ensuring data integrity and reliability for AI applications.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 3+ years of hands-on experience as a Data Engineer, with proven expertise in AI/ML projects.
- Advanced proficiency in Python, MySQL, PostgreSQL, JAVA, and JavaScript.
- Strong understanding of AI concepts and experience in training AI agents.
- Exceptional written and verbal communication skills, with a focus on clarity and collaboration.
- Experience implementing robust data pipelines and scalable architecture for machine learning projects.
- Self-motivated, detail-oriented, and able to thrive in a fully remote team environment.
- Master's degree in a related field.
- Direct experience with AI agent frameworks and real-world deployment projects.
- Previous work in fast-paced startup or innovation-driven environments.
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