Data Engineer

We are seeking a skilled Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering and a passion for working with cutting-edge technologies in the field of artificial intelligence and machine learning. As a Data Engineer, you will be responsible for designing, building, and maintaining robust data pipelines that support our data-driven initiatives. You will work closely with data scientists and analysts to ensure that data is accessible, reliable, and ready for analysis. Key Responsibilities: - Design and implement scalable data pipelines using tools such as Apache Spark, Databricks, and Airflow. - Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. - Optimize data storage and retrieval processes to enhance performance and efficiency. - Ensure data quality and integrity through rigorous testing and validation processes. - Stay updated with the latest trends and technologies in data engineering, AI, and machine learning. Required Skills: - Proficiency in programming languages such as Python and SQL. - Experience with big data technologies including Spark and Kafka. - Familiarity with data warehousing solutions and ETL processes. - Knowledge of Generative AI and machine learning concepts is a plus. - Strong problem-solving skills and the ability to work in a fast-paced environment. If you are passionate about data and eager to contribute to innovative projects, we encourage you to apply for this exciting opportunity.