Required Skills
About the Job
Deccan AI Experts, a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, is seeking a skilled Data Engineer to join our dynamic team in Chennai, Tamil Nadu. We specialize in delivering high-quality human-curated data and AI-first scaled operations.
In this role, you will be instrumental in designing, building, and maintaining scalable data pipelines and ETL processes. You'll develop and optimize data architecture for efficient storage and retrieval, create deliverables to address common data engineering and analytics requests, and contribute to improving the quality of AI research by reviewing peer-developed work. You will also diagnose and solve real-world data issues to enhance machine learning systems.
We value collaboration and expect you to work effectively with cross-functional teams while also being comfortable working independently in a remote setup. Managing your own schedule and ensuring timely project delivery are key aspects of this position.
**Key Responsibilities:** * Design, build, and maintain scalable data pipelines and ETL processes. * Develop and optimize data architecture for efficient storage and retrieval. * Create deliverables addressing common data engineering and analytics requests. * Review peer-developed deliverables to improve quality and support AI research. * Diagnose and solve real-world data issues to enhance machine learning systems. * Collaborate with cross-functional teams while working independently in a remote setup. * Manage your own schedule and ensure timely project delivery.
**Required Qualifications:** * 2+ years of hands-on experience in Data Engineering or related roles. * Strong knowledge of SQL, ETL processes, and database management systems. * Experience with data warehousing, data modeling, and pipeline optimization. * Proficiency in tools like Apache Airflow, Apache Spark, PostgreSQL, or similar platforms. * Strong analytical, problem-solving, and communication skills.
**Why Join Us:** * Competitive pay (₹1200/hour). * Flexible hours. * Remote opportunity.
