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 - Hands–on 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 - Talend, Asterix - 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.
Willingness to adjust hours in order to overlap with global team in India, Europe
- Bachelor’s Degree
- Minimum 2 years in Big Data platforms.
- Masters or PhD in Analytics
- HDFS, Hive, EBI, Talend, Spark
- AWS Cloud (S3, EMR), Azure Cloud (Data Lake Storage, Blob, Data Bricks), Kafka
- Demonstrated leadership in professional setting; either military or civilian
- Demonstrated teamwork and collaboration in a professional setting; either military or civilian
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