Responsibilities: Design, develop, and maintain scalable and responsive web applications using Ruby on Rails. Collaborate with the UI/UX team to implement and maintain intuitive and visually appealing user interfaces using modern frontend technologies such as HTML, CSS, and JavaScript. Build and optimize server-side logic and database structures to ensure high performance and seamless integration with frontend components. Manage databases and ensure data integrity, security, and efficiency. Proficiency Relational databases are essential. Integrate third-party APIs and services to enhance application functionality and user experience. Conduct code reviews to ensure best practices, code quality, and performance optimization. Identify and address bottlenecks and bugs in the system. Work closely with cross-functional teams, including product managers, designers, and other developers, to deliver high-quality software solutions. Implement automated testing strategies to ensure the reliability and robustness of the codebase. Requirements: Proven experience (4+ years) as a Full Stack Developer with a strong focus on Ruby on Rails. Experience with version control systems. Proficiency in database systems (e.g., PostgreSQL, MySQL, MongoDB) and experience with query optimization. Understanding of DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines. Familiarity with agile development methodologies. Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Note: If you are a highly skilled full-stack developer with expertise in Ruby on Rails (RoR), and you are passionate about building innovative web applications; we would love to hear from you. Apply now and join our talented team!

Role & responsibilities Design, develop, and maintain scalable ETL/ELT data pipelines Work with structured and unstructured data from various sources (APIs, databases, cloud storage, etc.) Optimize data workflows and ensure data quality, consistency, and reliability Collaborate with cross-functional teams to understand data requirements and deliver solutions Maintain and improve our data infrastructure and architecture Monitor pipeline performance and troubleshoot issues in real-time Preferred candidate profile 2-3 years of experience in data engineering or a similar role Proficiency in SQL and Python (or Scala/Java for data processing) Experience with ETL tools (e.g., Airflow, dbt, Luigi) Familiarity with cloud platforms like AWS, GCP, or Azure Hands-on experience with data warehouses (e.g., Redshift, BigQuery, Snowflake) Knowledge of distributed data processing frameworks like Spark or Hadoop Experience with version control systems (e.g., Git) Exposure to data modeling and schema design Experience working with CI/CD pipelines for data workflows Understanding of data privacy and security practices