Enterprise Data Engineering Lead

What you’ll bring:

• Provide technical leadership to BI/ETL Developers through design reviews, advising on implementation best practices, defining and refining release process and technical workshops.
• Design and develop innovative end-to-end analytics solutions that will meet the challenges faced by the organisation.
• Translate complex business requirements into technical designs.
• Responsible for solution design, technology debt, code security, code quality, code documentation, code deployment
• Responsible for confirming solution design and code estimates from partners.
• Design, develop and enhance data models, including physical and logical models for the legacy and new data warehouses.
• Design, develop and enhance ETL and batch data processes between different on-premise and cloud platforms (SaaS, PaaS and IaaS)
• Design and develop streaming pipelines for near real-time analytics solutions.
• Work with vendors to design, develop and test complete end to end analytics solutions or specific components to an analytics solution including data models, ETL, data pipelines etc.
• Collaborate with internal data science team to design and feed data mining structures and tables to facilitate ML/Advance Analytics.
• Manage data platform and analytics related releases and deployment and adhere to change control policies and procedures.
• Ensure source code is managed in the central code repository.
• Where practical, CI/CD principles should be followed.
• Document technical designs, solution architecture, development and release processes.
• Lead the system and unit testing of the Enterprise Data Platform.
• Provide data and analytics technical subject matter expertise and leading-edge thinking on trends, methodologies, tools and techniques that will be useful to the organisation.

What you’ll bring:

• More than 5 years of experience in ETL development, data modelling and data warehouse development.
• Advance skills in SQL code, SQL views, Stored Procs and SQL Server SSIS development.
• Experience with the following technologies:
• Visual Studio 2017
• C#
• XML and JSON
• SQL Job Agents
• Azure Dev Ops (Git repo)
• Rest API
• Powershell scripting (used for deployment and testing)

Desirable:

• Experience with the following Front End BI tools: Oracle OBIEE, Yellowfin, PowerBI and Crystal Reports
• Experience with the full Azure analytics stack (e.g., Azure Data Factory, Azure Stream Analytics, Azure Databricks, Azure Data Lake Storage)

Enterprise Data Engineering Lead Job in Melbourne – Apply now!

Use the link below to apply now.

Acknowledgement of Country

Salt respectfully acknowledges the Traditional Owners of the lands across Australia as the continuing custodians of country and culture. We recognise the enduring connection that Aboriginal and Torres Strait Islander peoples have to the lands, waters, and skies.

We pay our respects to all First Nations Australians and their Elders past and present.

Salt is acting as an Employment Agency in relation to this vacancy.