The Data Engineer will assist in migrating an on-premise MicroStrategy environment to the cloud, ensuring data consistency and cloud integration while collaborating with cloud services. Responsibilities include providing support for cloud deployments and leveraging expertise in data platforms and analytics.

The Senior Data Engineer/Analyst is responsible for designing and implementing data solutions that enhance business insights and improve operational efficiency. This role involves leading cross-functional teams, developing and maintaining data pipelines and analytics platforms, delivering scalable data solutions, and engaging in problem-solving and continuous learning.

As a Mid-Level Data Engineer at InfoCentric, you'll leverage AWS or Azure Cloud platforms and work with technologies like SQL, Python, and Snowflake to build and deploy data solutions. You'll solve complex data challenges and optimize big data workflows using Databricks, while contributing to AI and analytics projects for top Australian organizations.

Software Developer/Data Engineer role at InfoCentric in Melbourne, Australia. Develop software packages in R, Planning Analytics, and Python. Automate IT processes and perform system support activities. Requires 2 years of experience with Java, cloud services, and DevOps practices.

Develop software packages in R, Planning Analytics, and Python to drive business decisions based on data. Work with Australia's largest organizations to deliver industry-leading data solutions. Perform requirement analysis and automate IT processes for continuous integration and deployment. Troubleshoot and debug software code to ensure adherence to IT coding standards.

The Senior Azure Data Engineer role focuses on enhancing data infrastructure and analytics. Responsibilities include utilizing Azure Data Services for data engineering, managing data warehousing and ETL processes, and collaborating with teams to deliver impactful projects.

As an AWS Data Engineer at InfoCentric, you will work on data solutions utilizing your skills in Python, SQL, Apache Spark, and various AWS technologies. Your role involves collaborating with stakeholders to deliver quality data solutions that enhance decision-making and impact business success.

The Data Analyst will analyze complex data sets to provide insights for strategic decision-making. Responsibilities include collaborating with cross-functional teams, utilizing data analytics techniques, and applying knowledge of data science and machine learning. The role emphasizes problem-solving and clear communication of data findings.

The Data Engineer will develop, test, and maintain data architectures, focusing on databases and large-scale processing systems, and collaborate with stakeholders to deliver effective technical solutions.

As an Azure Cloud Engineer, you will design and implement cloud platforms for clients, working on data architecture and data modeling, ultimately assisting in modernizing their data ecosystems for better business outcomes.