About AECOM :
AECOM is a company that specializes in construction engineering. The company was founded in 2012, and its headquarters are in Dallas, Texas, USA. W. Troy Rudd has been the corporation’s CEO since 2020. According to 2020 reports, the organization’s total revenue was US$13.24 billion. The company employed 51,000 people in total.
AECOM Recruitment Job Description:
AECOM is hiring candidates for the post of Data Engineer.
AECOM Recruitment Job Responsibilities:
- Create and maintain optimal data pipeline architecture
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure ‘big data’ technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Keep AECOM’s data separated and secure across national boundaries through multiple data centres and regions.
- Create data tools for analytics and data scientist team members -to assist them in building and optimizing our product into an innovative industry leader.
AECOM Recruitment Eligibility Criteria:
- Bachelor’s degree in Computer Science, Statistics, Informatics, Information Systems, or relevant discipline in the quantitative field.
AECOM Recruitment Preferred skill:
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Advanced working SQL/nosql, ADLS, Databricks, ADF, Azure DevOps.
- Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets.
- Build processes supporting data transformation, data structures, metadata, dependency,and workload management.
- Demonstrated ability to manipulate, process, and extract value from large disconnected datasets.
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
- Strong project management and organizational skills.
- Experience supporting and working with cross-functional teams in a dynamic environment.