Senior Data Engineer

We are seeking a Senior Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering, with expertise in building and maintaining data pipelines and ETL processes. You will work closely with data scientists and machine learning engineers to ensure that data is accessible and usable for analytics and model training. Key Responsibilities: - Design, develop, and maintain scalable data pipelines using Databricks and other ETL tools. - Collaborate with cross-functional teams to gather requirements and implement data solutions that meet business needs. - Optimize data workflows and ensure data quality and integrity throughout the pipeline. - Implement machine learning operations (MLOps) practices to streamline model deployment and monitoring. - Utilize containerization technologies such as Docker and orchestration tools like Kubernetes to manage data applications. - Stay updated with the latest trends and technologies in data engineering and machine learning. Required Skills: - Proficiency in Python and experience with data processing libraries. - Strong knowledge of ETL processes and data pipeline architecture. - Familiarity with machine learning concepts and frameworks. - Experience with Databricks and cloud-based data solutions. - Understanding of containerization and orchestration technologies (Docker, Kubernetes). - Knowledge of Langgraph, LLM, and LangChain is a plus. If you are passionate about data engineering and want to work in a fast-paced environment, we encourage you to apply. Join us in transforming data into actionable insights and driving innovation in our organization.