We are seeking a passionate and hands-on Data Engineer to contribute to the development of our revolutionary crucial role in building and enhancing our cloud-based platform, automating IT auditing for SaaS globally third-party providers. ● Design and develop new cloud-based platform using cutting-edge technologies such as customers, and stakeholders to establish a robust data pipeline. ● Serve as a cornerstone in the company's with Spark and Airflow. ● Proficient in data pipelines, ETLs, data warehouses, etc. ● Working knowledge
Planning & scheduling releases: Planning releases based on capacity and extent of work. Ensuring releases release readiness: Validating release readiness based on outcome of manual and automated test suites, Improving system health: Analysing system health based on reported problems and recommending & implementing analytical skills with the ability to interpret data and make informed decisions. Excellent communicator Planning & scheduling releases: Planning releases based on capacity and extent of work. Ensuring releases
and strategic alignment Ensuring compliance with data security and industry regulations What We Need From techs: Angular, React, Vue ORM Tools: JPA, Spring Data, Hibernate Relational databases: Oracle, MsSQL, Azure, AWS IAC: Terraform, Bicep, AWS CDK Event based messaging queues: KAFKA, RabbitMQ, Amazon SQS What
user feedback to iterate and improve the product based on user insights. Requirements Bachelor's degree ability to analyze complex market dynamics and make data-driven decisions. Excellent communication skills user feedback to iterate and improve the product based on user insights. Requirements Bachelor's degree ability to analyze complex market dynamics and make data-driven decisions. Excellent communication skills
and strategic alignment Ensuring compliance with data security and industry regulations Building on the Spring, Spring Boot, JEE ORM Tools: JPA, Spring Data, Entity Framework, Hibernate Relational Databases:
Spring, Spring Boot, JEE ORM Tools: JPA, Spring Data, Entity Framework, Hibernate Relational Databases: