We are looking for an experienced and self-driven Data Platform Engineer to administer the data platform and infrastructure that powers our analytics, data science, and product teams. The ideal candidate is highly skilled in building modern data pipelines and wrangling large, complex datasets while using the latest technologies to support data-driven use cases across the organization.
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You will work closely with software engineers, database architects, data analysts, and data scientists to ensure seamless data integration, optimal data delivery, and high system reliability. You will also be responsible for monitoring and maintaining analytical environments to ensure smooth day-to-day operations. This is an exciting opportunity to help shape and scale our data platform for the next generation of products and innovation.
Key Responsibilities:
- Evaluate business needs and objectives
- Identify opportunities for data acquisition
- Analyze and organize raw data
- Create and maintain optimal data pipeline architecture
- Interpret trends and patterns; build algorithms and prototypes
- Assemble large, complex data sets to meet functional/non-functional business requirements
- Identify, design, and implement internal process improvements such as automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a variety of sources using SQL and big data technologies
- Develop analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
Education & Experience:
- 4-6 years of experience in a Data Engineer role
- Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field
- Experience in data platform administration, Azure Databricks, Data Factory, and Synapse is mandatory
- Experience in Azure Data Lake Storage and VPN and network integrations is mandatory
- Advanced working SQL knowledge and experience with relational databases
- Experience in optimizing data pipelines, architectures, and datasets
- Ability to perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
- Experience in supporting data transformation, data structures, metadata, dependency and workload management
Work Conditions: On-site, Full-time
Language Requirements: Not specified.
About Etihad Airways:
Etihad Airways, the national airline of the UAE, was formed in 2003 and quickly became one of the world’s leading airlines. From its home in Abu Dhabi, Etihad flies to passenger and cargo destinations in the Middle East, Africa, Europe, Asia, Australia, and North America. In recent years, Etihad has received numerous awards for its superior service and products and is recognized for its efforts in response to the COVID-19 pandemic and its commitment to tackling the climate crisis through strategic partnerships with major global aviation brands.
