SAP Data Engineer

Job Title: SAP Data Engineer

Location: Sydney

Employment Type: Full-Time

Duration: Permanent

We at Coforge are looking to hire a SAP Data Engineer with the below mentioned skills.

Role Overview:

The Data & Analytics team sits within Client Technology’s Platform Engineering division and is responsible for building, operating and maintaining data systems and pipelines that underpin our customer’s data and workloads.

Key Responsibilities:

• Design, develop, package, test, support and operate cloud, on premise, and hybrid batch-mode data pipelines and datasets with a broad range of technology stacks including SAP Data Services, SAP BusinessObjects, Google Cloud Platform, Amazon Web Services, Tableau, TIBCO Data Virtualization and TIBCO Spotfire.
• Explore, analyse, enhance, integrate, catalogue and document datasets and data pipelines.
• Develop, implement, maintain and report on data quality standards and metrics.
• Support business, governance and operations teams with data and metadata enquiries, and implement required data processing, storage, automation and access controls and enhancements.
• Follow Change, Incident and Problem Management policies and processes, including risk identification, risk mitigation and communications with relevant business, technology, market and vendor stakeholders.
• Ensure data pipelines and products are designed and built to be run within a critical market infrastructure environment.

Must have

• 2+ years hands-on experience engineering data pipelines with SAP Data Services.
• Good knowledge of data modelling and how to structure data within data lakes and data warehouses, while following best practice data management standards.
• Solution design experience with a good working knowledge of DevSecOps practices to achieve high levels of automation across complex data pipelines.
• Bachelor degree in Computer Science, Engineering or equivalent background.

Nice to have

• AWS Data Engineer - Associate certification.
• A hands-on engineer with experience working with a variety of data engineering tools across ingestion, curation, storage, orchestration, data management, reporting, analytics, and distribution on AWS data platforms, Tableau, TIBCO Data Virtualization, Spotfire and/or equivalent technologies.
• Experience working within a platform/product operating model where frameworks and development kits are leveraged to achieve standardisation, re-use and scale.
• A working knowledge of data mesh/data product concepts with federated data ownership at the domain-level but operating on centralised platforms and governance.
• Experience working within financial markets and related datasets will be of benefit.