AI Data Engineer (NCS/Job/ 2392)

We are seeking a highly skilled Senior Data Engineer / AI Engineer with expertise in Python, SQL, and cloud data platforms like Databricks or Snowflake. The ideal candidate will have a strong background in data engineering, AI/ML model development, and data warehousing solutions.

Key Responsibilities:

• Design, develop, and optimize scalable data pipelines and data architectures using Python and SQL.
• Build and maintain ETL/ELT processes on Databricks or Snowflake platforms.
• Implement AI and machine learning models to solve complex business problems and derive actionable insights.
• Collaborate with cross-functional teams to integrate data from diverse sources and build efficient data workflows.
• Ensure data quality, security, and governance best practices.
• Troubleshoot and optimize performance of data systems and queries.
• Participate in code reviews, technical design discussions, and mentor junior engineers.

Required Skills:

• 5+ years of hands-on experience in Python programming and SQL development.
• Proven experience with cloud-based data platforms: Databricks and/or Snowflake.
• Strong understanding of data warehousing concepts, ETL/ELT processes, and data modelling (star, snowflake schemas).
• Experience with AI/ML frameworks and integrating machine learning models into production.
• Knowledge of cloud computing platforms (AWS, Azure, or GCP).
• Expertise in performance tuning, data pipeline orchestration, and workflow automation.
• Excellent communication skills and ability to work in agile environments.

Preferred Qualifications:

• Experience with related tools such as Apache Spark, Airflow, DBT, or similar.
• Familiarity with containerization and orchestration technologies like Docker and Kubernetes.