The Data Engineer will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. The ideal candidate should be an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.

• Manage, automate workflows and maintain database consistency for hotel mapping processes across suppliers.
• Create and maintain optimal data pipeline architecture.
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and GCP '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 our data separated and secure across national boundaries through multiple data centers and GCP regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimising our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimising 'big data' pipelines, architectures and data sets.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
• Strong project management and organisational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Having 3+ years of experience in a Data Engineer role
• Should also have experience using the following software/tools:
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• Experience with data pipeline and workflow management tools: Airflow.
• Experience with relational SQL and NoSQL databases
• Experience with big data platforms and tools is a plus: Hadoop, Spark, Kafka, etc.
• Experience with AWS or GCP is a plus: EC2, EMR, RDS, Redshift, DataFlow, BigQuery
• Experience with stream-processing systems is a plus: Storm, Spark-Streaming, etc.