Data Engineer

Data Engineer

About the Role

We are seeking a skilled Data Engineer to join our Engineering team. In this role, you will design, build, and maintain scalable data pipelines and platforms that support business intelligence, analytics, and AI-powered applications. You will work closely with software engineers, product teams, and business stakeholders to deliver reliable, high-quality data solutions while contributing to the evolution of our enterprise data architecture.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using Python.
• Build and optimize enterprise data lakes, warehouses, and lakehouse solutions.
• Develop data pipelines that support analytics, AI/ML, vector databases, and Retrieval-Augmented Generation (RAG) applications.
• Implement data quality, validation, lineage, and governance processes.
• Optimize data storage, processing, and cloud infrastructure for performance and cost efficiency.
• Collaborate with cross-functional teams to deliver scalable data solutions.
• Leverage AI-assisted development tools to improve engineering productivity and code quality.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or a related discipline.
• 5+ years of experience designing and supporting production data pipelines.
• Strong proficiency in Python and SQL.
• Experience with modern data platforms such as Snowflake, Databricks, or Microsoft Fabric.
• Experience with cloud platforms including Azure, AWS, or Google Cloud Platform.
• Hands-on experience with workflow orchestration tools such as Apache Airflow or Azure Data Factory.
• Solid understanding of data modeling, governance, and data quality best practices.

Preferred Qualifications

• Experience with Docker, Kubernetes, and Infrastructure as Code.
• Experience building data solutions for AI, machine learning, or Generative AI applications, including vector databases and RAG architectures.
• Familiarity with AI-powered software development tools and modern engineering practices.