AECOM is Hiring for Data Engineer Role | Apply Now

JOB ROLE:Data Engineer

Location - Bangalore

JOB DESCRIPTION:

The role will be part of the Data and Analytics Team responsible for expanding and optimizing AECOM’s data and data pipeline architecture, data flow, and collection for cross-functional teams. The role will support software developers, database architects, data analysts, and data scientists on data initiatives and will ensure consistent optimal data delivery architecture throughout ongoing projects.

Responsibilities & Duties

  • 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.

Education Required:

  • Bachelor’s degree in Computer Science, Statistics, Informatics, Information Systems, or relevant discipline in the quantitative field

SKILLS:

  • 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.

Preferred Qualifications

  • Experience with big data tools: Hadoop, Spark, Kafka, etc.

  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.

  • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.

  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift

  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.

  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

SALARY:UPTO 6 LPA EXPECTED

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