Data/AI Engineer (Databricks, AWS, Python, AI))

About the role

The Data/AI Engineer is responsible for designing, developing, enhancing, and supporting scalable cloud-based data pipelines, data products, and data-driven applications. This is a hands-on engineering role requiring strong technical expertise in modern data engineering technologies, problem-solving abilities, and a product mindset to deliver reliable, secure, and high-quality data solutions.

What you'll do

• Build and optimize data ingestion, transformation, integration, and storage solutions supporting analytical and operational workloads
• Design, develop, test, and maintain scalable batch and real-time data pipelines, data products, and cloud-based data solutions
• Own assigned deliverables from design through deployment, ensuring quality, reliability, performance, security, and maintainability
• Collaborate with Technical Leads, Product Owners, Architects, Analysts, and Engineering teams to translate business requirements into technical solutions
• Implement data quality controls, monitoring, observability, automation, and CI/CD practices to improve platform reliability and engineering productivity

What you need

• 5–9 years in data science & ai
• Python
• AWS
• Databricks
• SQL
• Machine learning
• ETL
• B.Sc or B.Tech or B.E. or BCA

Good to have

• Pandas
• Redshift
• Spark
• LLMs
• Airflow
• Kafka