Data Engineers

Great opportunities open for Data Engineers with experience of big data technologies and dealing with Large complex data sets to come on-board and work for a large multi national conglomerate company based in Dublin. This will be an initial 3 month contract with competitive rates on offer.

Key Skills:

• Creating and maintaining data pipeline
• Large/complex data sets
• Skills in Big Data technologies such as the following, - Azure, Hortonworks, Kylo, Spark, Scoop, NoSQL.
• Advanced SQL knowledge
• Analytics tools
• Working with stakeholders
• Optimization of extraction, transformation, and loading of data from a wide variety of data sources
• Strong analytic skills related to working with unstructured datasets.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.

Key Purpose of the Role

Data Engineer will be responsible for setting up, expanding and optimizing our data and data pipeline architecture. Ideal candidate experience includes building data pipelines from the ground up, extensive data wrangler skills and generally enjoys building data systems. Data Engineer will support, Data Architects/Analysts/Scientists and Software Developers. Must be self-directed and comfortable supporting multiple streams of work.

Key Responsibilities

• Create and maintain data pipeline
• Assemble large/complex data sets meet functional/non-functional business requirements
• Identify, design implement process improvements, with ongoing automisation and optimisation
• Skills in Big Data technologies such as the following, - Azure, Hortonworks, Kylo, Spark, Scoop, NoSQL.
• Provide advanced SQL knowledge, and use this to extract value
• Build Analytics tools that utilize the data pipeline to provide actionable insights.
• Work with stakeholders
• Keep data separated and secure with responsibilities of understanding and carrying out processes which ensure best practice and GDPR, and other Data legal requirements

Project People is acting as an Employment Business in relation to this vacancy.