As a Software Developer/Data Engineer, you will develop software packages, automate IT processes, perform requirement analysis, handle troubleshooting, and ensure high-quality code documentation while working with Australia's top organizations on data solutions.

As an Automation Engineer at InfoCentric, you'll focus on backend development and automation with a strong emphasis on machine learning and DevOps methodologies. You will leverage tools like Terraform, Python, SQL, and Shell Scripting to automate processes, while also working with cloud platforms and CI/CD pipelines to enhance data-driven automation solutions for large Australian organizations.

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.

As a Data Analyst/Engineer at InfoCentric, you will leverage your skills in data analysis and manipulation to solve complex business problems. The role involves working with cloud data platforms and collaborating with industry leaders while applying your knowledge of banking and finance data challenges.

The Senior Consultant will lead analytics projects, design AI-driven solutions, manage cloud transformations, and mentor teams while working closely with clients to develop strategic data solutions.

As a Technical Lead, you'll drive the migration from on-premise data warehouses to Snowflake, oversee technical architecture, optimize data pipelines using Python and DBT or Azure, and mentor a team of data engineers while ensuring alignment with business goals through effective stakeholder management.

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.

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.

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.