Role & responsibilities Typical duties and responsibilities Develop and maintain interactive web and mobile applications using technologies such as HTML5, CSS3, JavaScript, and frameworks like Angular 17+ Collaborate with UX/UI designers to implement visually engaging and user-friendly interactive elements. Write clean, maintainable, and efficient code while following best practices for performance, security, and scalability. Lead or mentor junior developers and collaborate with cross-functional teams to implement complex features. Conduct user testing and collaborate with stakeholders to gather feedback and improve user experience. Optimize front-end performance to ensure fast load times and smooth interactions across various devices and browsers. Integrate third-party services, APIs, and other backend systems into frontend applications. Stay updated on the latest trends and best practices in interactive development, frontend technologies, and user experience design. Required skills and experience Bachelors degree in Computer Science, Web Development, or a related field. A minimum of 8 years of experience in frontend development, including proficiency with HTML5, CSS3, JavaScript, and modern frameworks ( Angular 17+). Strong understanding of responsive design, mobile-first development, and cross-browser compatibility. Experience with version control systems like Git. Solid knowledge of web performance optimization techniques. Ability to collaborate effectively with designers, product managers, and other developers. Strong problem-solving skills and attention to detail. Excellent communication skills and ability to work in an Agile development environment. Preferred candidate profile Experience with server-side technologies (e.g., Spring Boot, Hibernate). Familiarity with modern CSS preprocessors (e.g., SASS, LESS) and JavaScript build tools (Webpack, Babel).
Role & responsibilities We are looking for a Senior Data Engineer who is responsible for the design and development of scalable data pipelines and integrations to support continual increases in data volume and complexity. Work with analytics and business teams to understand their needs, create pipelines, improve data models that feed BI and visualization tools. Key Responsibilities: Data Pipeline Development : Design, develop, and maintain robust ETL pipelines to move data from source systems to our data storage platforms. This includes data ingestion, transformation, and data quality checks to ensure accuracy and completeness. Data Modeling : Create and maintain data models and schemas that support business analytics, reporting, and data visualization requirements. Optimize data structures for performance and scalability. Data Integration : Integrate data from various internal and external sources, including databases, APIs, flat files, and streaming data sources. Ensure seamless data flow across systems and platforms. Performance Optimization : Identify and address performance bottlenecks in data pipelines and database systems. Implement optimizations to improve data processing speed, scalability, and efficiency. Data Quality and Governance : Implement data quality checks, validation rules, and data governance policies to maintain the integrity and reliability of our data assets. Monitor data quality metrics and take proactive measures to address issues. Collaboration : Work closely with data analysts, data scientists, and other stakeholders to understand data requirements and deliver solutions that meet business needs. Collaborate with IT teams to ensure alignment with overall technology architecture and standards. Documentation and Best Practices : Document data pipelines, data models, and technical specifications. Follow best practices for software development, version control, and deployment processes. Continuous Improvement : Stay abreast of industry trends, emerging technologies, and best practices in data engineering. Identify opportunities for process improvement and automation to streamline data workflows and increase productivity. Preferred candidate profile Bachelor's degree in Computer Science, Engineering, or related field. 8+ years of experience in data engineering or related roles. Proficiency in programming languages such as Python, Java, or Scala. Strong SQL skills and experience with relational databases (e.g., MySQL, PostgreSQL). Experience with data warehousing concepts and technologies (e.g., Snowflake, Redshift). Familiarity with big data processing frameworks (e.g., Apache Spark, Hadoop). Hands-on experience with ETL tools and data integration platforms. Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform. Understanding of data modeling principles and data warehousing design patterns. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills, with the ability to work effectively in a team environment.