Data Engineer/ AI Engineer

Exponentia.ai Private Limited; Mumbai; Presencial; INR 900.000 - 1.800.000; Jornada completa

Descripción de la vacante

Exponentia.ai Private Limited in Mumbai is seeking a motivated Data Engineer with 2-3 years of hands-on experience to design and deliver scalable data solutions. You will work on real-world enterprise projects, enabling advanced analytics and AI use cases in collaboration with global clients.

You'll gain exposure to modern data platforms, cloud technologies, and AI-driven ecosystems while partnering with experienced engineers to ensure data quality and robust production deployments.

Formación

• Hands-on data engineering experience on enterprise projects.
• Experience building scalable data pipelines and ETL processes.
• Familiarity with cloud platforms like Azure, AWS or Databricks.
• Strong collaboration with data scientists and stakeholders.

Responsabilidades

• Design, build, and maintain scalable data pipelines and ETL processes.
• Work with structured and unstructured datasets to support analytics and AI solutions.
• Develop and optimize data workflows for performance, reliability, and scalability.
• Collaborate with cross-functional teams including data scientists and business stakeholders.
• Work on cloud platforms such as Azure, AWS, or Databricks.
• Ensure data quality, governance, and security standards are maintained.
• Support deployment and monitoring of data solutions in production environments.

Conocimientos

Data pipelines

ETL development

Structured/unstructured data

Data workflows

Cloud platforms

Data governance

Production monitoring

Collaboration

Descripción del empleo

Role & responsibilities

We are looking for a motivated Data Engineer with 2-3 years of hands‑on experience to join our growing team. You will work on real‑world enterprise projects, building scalable data solutions and enabling advanced analytics and AI use cases.

This role offers the opportunity to work with modern data platforms, cloud technologies, and AI-driven ecosystems while collaborating with experienced engineers and global clients.

Preferred candidate profile

• Design, build, and maintain scalable data pipelines and ETL processes


• Work with structured and unstructured datasets to support analytics and AI solutions


• Develop and optimize data workflows for performance, reliability, and scalability


• Collaborate with cross-functional teams including data scientists and business stakeholders


• Work on cloud platforms such as Azure, AWS, or Databricks


• Ensure data quality, governance, and security standards are maintained


• Support deployment and monitoring of data solutions in production environments.