Data Engineer, Data Architecture and Engineering, gDATA

This role is based in Dublin, Ireland.

Responsibilities:

• Acquire deep understanding of business processes, tools and customer expectations, to drive greater impact.
• Design, implement, test, optimize and troubleshoot analytics and reporting solutions to solve business performance management challenges.
• Collaborate with and influence business and engineering stakeholders to ensure our data infrastructure and products meets constantly evolving requirements.
• Work closely with analysts to productionize analytics and reporting prototypes, and various statistical and machine learning models.
• Write and review technical documents, including design, requirements, and process documentation.

Minimum qualifications:

• Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience.
• 1 year of experience with data processing software (e.g., Hadoop, Spark, Pig, Hive) and algorithms (e.g., MapReduce, Flume).
• Experience managing client-facing projects, troubleshooting technical issues, and working with Engineering and Sales Services teams.
• Experience with database administration techniques or data engineering, as well as writing software in Java, C++, Python, Go, or JavaScript.

Preferred qualifications:

• Experience in technical consulting.
• Experience working with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments.
• Experience working with Big Data, information retrieval, data mining, or machine learning.
• Experience in building multi-tier high availability applications with modern web technologies (e.g., NoSQL, MongoDB, SparkML, TensorFlow).
• Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments.