Data Engineer L1 | IITs, NITs, IIITs, or those with relevant Master’s and Ph.D. degrees. - 6 Positions

Job Description:
As a Data Engineer at EveoAI, you will be responsible for handling and optimizing our data infrastructure, ensuring efficient data processing and integration. You will work closely with our AI/ML engineers and data analysts to support the development of our domain-specific LLM and other AI-driven features.

Key Responsibilities:

• Data Management: Manage and maintain large datasets and data warehouses, ensuring data integrity and availability.
• Data Cleaning: Perform data cleaning and preprocessing to ensure high-quality data for analysis and model training.
• ETL/ELT Processes: Design, develop, and maintain efficient ETL/ELT pipelines to support data ingestion, transformation, and loading.
• Collaboration: Work closely with AI/ML engineers and data analysts to understand data requirements and deliver solutions that meet their needs.
• Performance Optimization: Continuously monitor and optimize data processes for performance, scalability, and reliability.
• Documentation: Maintain comprehensive documentation of data processes, pipelines, and infrastructure.

Qualifications:

• Educational Background: Bachelor’s degree in Computer Science, Engineering, or a related field from IITs, NITs, IIITs, or equivalent. Relevant Master’s or Ph.D. degrees are also considered.
• Technical Skills: Proficiency in SQL and experience with database management systems (e.g., MySQL, PostgreSQL). Knowledge of data warehousing concepts and tools.
• Programming Skills: Experience with programming languages such as Python or Java for data processing tasks.
• Data Processing: Familiarity with ETL/ELT tools and frameworks (e.g., Apache Airflow, Talend).
• Problem-Solving: Strong analytical and problem-solving skills, with attention to detail.
• Collaboration: Excellent communication and teamwork skills, with the ability to work effectively in a collaborative environment.

Preferred Qualifications:

• Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and their data services.
• Knowledge of big data technologies (e.g., Hadoop, Spark).
• Understanding of data security and privacy best practices.

What We Offer:

• Innovative Environment: Work on cutting-edge AI and AR technologies in a dynamic and fast-paced environment.
• Career Growth: Opportunities for professional development and career advancement.
• Collaborative Culture: Join a passionate and collaborative team committed to innovation and excellence.