Organization: Corporate Functions/CIO
Location: Chicago, IL
Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions underpinned by the world's largest delivery network Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With approximately 435,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at www.accenture.com.
People in the Corporate Function career track contribute to the running of Accenture as a high- performance business through specialization within a specific functional area, and grow into internally focused roles by deepening their skills and/or developing new skills within an internal functional area.
Big Data Architect, with expertise in solutions for processing large volumes of data, using tools ETL, BI and Big Data platforms. Proven experience of at least 2-3 years in architecture and development of different processes around Big Data platforms. Hadoop Distribution: Hadoop HortonWorks
Handson experience in Big Data solutions (Hadoop Ecosystem) ETLs and Data Marts.
NoSQL platforms: MongoDB, Cassandra, ElasticSearch, Redshift
Cloud services: familiarity with Amazon/Azure cloud
Hadoop Framework Experience: Hive, Kerberos, HDFS, Kafka, Spark, will be valued. Knowledge and experience working with ETL solutions
Understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS, SQL experience and No_SQL platforms
Understanding of major programming/scripting languages like Java, Linux, PHP, Ruby, Python and/or R Also valuable: - Real-Time analytics and BI platforms such as Tableau Software
Statistical software packages such as R, SPSS, MatLab,
Solid IT consulting experience in data stores and large scale implementations Other professional skills:
To be able to work in teams with different disciplines
To be a self-managed person
To be able to work in a agile development environments
To be able to perform detailed analysis of business problems and use designing in Big Data solutions
To be able to work creatively in a problem-solving environment
To be able to do the analysis, processing and visualization of data for processing large volumes of data
Data as a Service (DaaS) is part of Enterprise Insight Platform - a shared big data analytics platform. The objective of DaaS is to bring people closer to the data - data scientists, business analysts, developers, and data owners. Big data engineer will translate logs and data from various data ingestion, storage, and viz applications to present in a front end tool. Source applications include: HDFS, Hive, EBI, Talend, Spark. Given the constant flux of the big data analytics market, new tools will likely be introduced so the ability and enthusiasm for new technology is also important.