AECOM Recruitment 2023 | Data Engineer

AECOM Recruitment 2023 has announced a new job opening for the position of Data Engineer at AECOM. This is a fantastic opportunity for students from various disciplines who are looking to start their careers in the field of Data Engineer. All the necessary details about AECOM Recruitment 2023, including job responsibilities, eligibility criteria, and the application process is given below

Job Position: Data Engineer
Job Location: Up to ₹ 10 LPA*
Salary Package: Bangalore
Full/Part Time: Full Time
Req ID:
Education Level:

Qualifications

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.

Skills Required

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.