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As a Data Engineer at BJSS, you will build, optimize, and maintain data applications and systems. Your role will involve deploying data pipelines and processes, using technologies in the cloud, and ensuring reliable and efficient operations. You will work collaboratively within multi-disciplinary teams on various data projects, advocating for DataOps practices.

The Data Engineer at BJSS will build, optimize, and maintain scalable data applications and systems, leveraging software engineering best practices. The role involves deploying data pipelines in production, collaborating with multi-disciplinary teams in an agile environment, and working on various cloud data services to deliver business value to clients.

As a Data Engineer at BJSS, you will build, optimize, and maintain data applications and systems. This role requires deploying data pipelines and processes, using cloud technologies, and ensuring best practices in software engineering and DataOps methodologies.

As a Data Architect, you will lead teams in delivering data solutions, focusing on data warehousing, analytics, and machine learning. You'll serve as a technical authority, mentoring team members while engaging with clients to derive value from data and advocating for Agile practices.

As a Data Engineer at BJSS, you will design, build, and maintain scalable data solutions using a variety of cloud technologies and data services. You'll implement data pipelines and processes, ensuring production safety and reliability while working in agile teams to deliver data platforms for large organizations.

As a Data Engineer, you will build, optimize, and maintain data solutions to provide business value, using software engineering best practices and DataOps principles. This role involves deploying data pipelines and using various cloud technologies and data services within multi-disciplinary teams in a fast-paced agile environment.

Specialist software engineer role at a tech consultancy building data applications, systems, and services using the latest technologies and a DataOps culture. Work in agile environment deploying data pipelines in cloud platforms like AWS, Azure, GCP. Must have experience with Python, CI/CD, cloud data services, and complex queries against data stores.