Collaborate closely with sales teams, project team, product & engineering team to ensure proposals are accurate, competitive, and technically achievable.
Respond to technical inquiries, prepare RFP/RFI responses, and clarify technical specifications throughout the entire sales cycle.
Conduct in-depth client research (industry challenges, workflows, KPIs, etc.) and produce a Client Requirements Specification document.
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Diversity is at the core of everything we do. We work together to create a culture based on respect, trust, and inclusiveness. Our differences are what fuel our creativity.
What will you do?
As a BIM Engineer, you will play a key role in supporting project teams by coordinating, managing and delivering BIM models in line with project and Aurecon standards.
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Support and work with cross-functional and multidisciplinary teams in a dynamic environment. Leverage data visualization tools and techniques to maximize impact and value of data.
Manage external technical communication with partners and vendors. Contribute to improving data governance policies.
Keep current with technical and industry developments.
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The Data Engineer is responsible for reviewing the approved User Requirements Study (URS) and Data Warehouse Design (DWD) documents and producing a comprehensive ETL Mapping Design Document for an Oracle Exadata Data Warehouse environment.
The ETL Mapping Design will serve as the technical specification for ETL developers to build data integration processes that load, transform, validate, and maintain data within the Oracle Exadata Data Warehouse.
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Build and manage the data asset using some of the most scalable and resilient open source big data technologies like Airflow, Spark, Apache Atlas, Kafka, Yarn, HDFS, ElasticSearch, Presto/Dremio, HDP, Visualisation layer,Snowflake and more.
Design and deliver the next-gen data lifecycle management suite of tools/frameworks, including ingestion and consumption on the top of the data lake to support real-time, API-based and serverless use-cases, along with batch (mini/micro) as relevant
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Cross-Functional Collaboration: Support and collaborate closely with cross-functional and multidisciplinary teams in a fast-paced environment.
Data Impact: Leverage data visualization tools and techniques to maximize the business impact and intrinsic value of data.
Internal Stakeholder Management: Manage technical communication, alignment, and relationships with internal business units, product managers, and engineering teams to ensure data deliverables align with organizational goals.
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