Data Engineer

Role Overview: You will be responsible for developing data pipelines, frontend applications, data visualizations, infrastructure components, and collaborating with cross-functional teams to deliver efficient solutions. Your role will involve ensuring data quality, creating user-friendly interfaces, designing insightful visualizations, deploying infrastructure components, and documenting technical details. Key Responsibilities: - Design, build, and maintain scalable data pipelines to ingest, process, and transform data from various sources. - Develop interactive frontend applications using modern web technologies and ensure seamless user experiences. - Create visually compelling data visualizations and design intuitive dashboards and reports. - Deploy and maintain infrastructure components necessary for data processing and visualization. - Document technical designs, implementation details, and best practices for knowledge sharing. - Collaborate with data scientists, analysts, and stakeholders to understand business requirements and deliver solutions. Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - Proven experience in data engineering with technologies like Apache Spark, Kafka, or Apache Airflow. - Strong proficiency in frontend development with expertise in HTML, CSS, JavaScript, and frameworks/libraries. - Experience with data visualization tools such as Tableau, Power BI, or D3.js. - Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies. - Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment. - Effective communication skills to convey complex technical concepts to non-technical stakeholders. Preferred Qualifications: - Previous experience in the manufacturing or engineering industry. - Knowledge of SQL and database systems (e.g., PostgreSQL, MySQL, MongoDB). - Understanding of Agile development methodologies and practices. - Experience with version control systems (e.g., Git) and CI/CD pipelines. Role Overview: You will be responsible for developing data pipelines, frontend applications, data visualizations, infrastructure components, and collaborating with cross-functional teams to deliver efficient solutions. Your role will involve ensuring data quality, creating user-friendly interfaces, designing insightful visualizations, deploying infrastructure components, and documenting technical details. Key Responsibilities: - Design, build, and maintain scalable data pipelines to ingest, process, and transform data from various sources. - Develop interactive frontend applications using modern web technologies and ensure seamless user experiences. - Create visually compelling data visualizations and design intuitive dashboards and reports. - Deploy and maintain infrastructure components necessary for data processing and visualization. - Document technical designs, implementation details, and best practices for knowledge sharing. - Collaborate with data scientists, analysts, and stakeholders to understand business requirements and deliver solutions. Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - Proven experience in data engineering with technologies like Apache Spark, Kafka, or Apache Airflow. - Strong proficiency in frontend development with expertise in HTML, CSS, JavaScript, and frameworks/libraries. - Experience with data visualization tools such as Tableau, Power BI, or D3.js. - Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies. - Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment. - Effective communication skills to convey complex technical concepts to non-technical stakeholders. Preferred Qualifications: - Previous experience in the manufacturing or engineering industry. - Knowledge of SQL and database systems (e.g., PostgreSQL, MySQL, MongoDB). - Understanding of Agile development methodologies and practices. - Experience with version control systems (e.g., Git) and CI/CD pipelines.