Senior Data Engineer

As a leading AIML Company, KiE Square provides advanced Data Science/Data Engineering Solutions to clients, driving their Business Intelligence Transformation. You are invited to join the Core Team of Data Scientists, Data Engineers, and AIML Developers known for delivering high-value projects and building Predictive Models with large datasets. In this role, you will leverage your collaboration skills to extract valuable insights from complex data sets, asking the right questions and finding the right answers. Responsibilities: - Design, develop, and maintain data pipelines and ETL processes for efficient data integration and transformation. - Manage and optimize data storage and flows on cloud ecosystems like GCP, AWS, Azure, or Oracle Cloud. - Ensure data quality, consistency, and reliability across systems working with large-scale datasets. - Develop and enhance Cloud Architecture for new proposals, Data Engineering pipelines, automations, and integrations. - Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions. - Mentor junior engineers, provide technical guidance, and contribute to best practices in data engineering. - Implement data governance, security, and compliance standards. - Monitor data pipelines, troubleshoot issues, and ensure high availability of data platforms. - Optimize database performance and ensure cost-effective cloud resource utilization. Qualifications: - Hands-on experience with ETL tools such as Oracle Data Integrator, Informatica, Talend, or similar. - Strong knowledge of SQL, PL/SQL, and database performance tuning. - Experience with data warehousing concepts and big data technologies. - Familiarity with Python or Scala for data processing and automation. - Experience with streaming data pipelines like Kafka, Spark Streaming. - Knowledge of data modeling and data governance best practices. - Exposure to containerization (Docker, Kubernetes) is a plus. - Strong analytical and problem-solving abilities. As a leading AIML Company, KiE Square provides advanced Data Science/Data Engineering Solutions to clients, driving their Business Intelligence Transformation. You are invited to join the Core Team of Data Scientists, Data Engineers, and AIML Developers known for delivering high-value projects and building Predictive Models with large datasets. In this role, you will leverage your collaboration skills to extract valuable insights from complex data sets, asking the right questions and finding the right answers. Responsibilities: - Design, develop, and maintain data pipelines and ETL processes for efficient data integration and transformation. - Manage and optimize data storage and flows on cloud ecosystems like GCP, AWS, Azure, or Oracle Cloud. - Ensure data quality, consistency, and reliability across systems working with large-scale datasets. - Develop and enhance Cloud Architecture for new proposals, Data Engineering pipelines, automations, and integrations. - Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions. - Mentor junior engineers, provide technical guidance, and contribute to best practices in data engineering. - Implement data governance, security, and compliance standards. - Monitor data pipelines, troubleshoot issues, and ensure high availability of data platforms. - Optimize database performance and ensure cost-effective cloud resource utilization. Qualifications: - Hands-on experience with ETL tools such as Oracle Data Integrator, Informatica, Talend, or similar. - Strong knowledge of SQL, PL/SQL, and database performance tuning. - Experience with data warehousing concepts and big data technologies. - Familiarity with Python or Scala for data processing and automation. - Experience with streaming data pipelines like Kafka, Spark Streaming. - Knowledge of data modeling and data governance best practices. - Exposure to containerization (Docker, Kubernetes) is a plus. - Strong analytical and problem-solving abilities.