About the Job
The ideal candidate is an experienced data pipeline builder and data wrangler who utilizes the latest technology to implement and support platforms for analytical use-cases. The selected candidate will support our software developers, database architects, data analysts, and data scientists on data initiatives, ensuring that optimal data delivery architecture is consistent throughout ongoing projects. The candidate must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. If you are excited by the prospect of optimizing or even redesigning our company’s data architecture to support our next generation of products and data initiatives, this might be the right fit for you! You will also be responsible for monitoring analytical systems to ensure that the environments run smoothly.
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Accountabilities
- 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 that meet functional and non-functional business requirements
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, redesigning infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and 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
Education & Experience
- 5-8 years of experience in the IT industry
- 3+ years of experience with Azure Data Engineering Stack (Data Factory, Databricks, Synapse, Event Hub, Cosmos DB, ADLS Gen2, Function app)
- Good understanding of other Azure services
- 3+ years of experience with Python / Pyspark
- Excellent knowledge of SQL and good understanding of Data Warehouse Architecture, Data Modeling, and design concepts
- Experience in Power BI, SFTP, Messaging, and APIs would be an advantage
- Excellent analytical and organizational skills
- Effective working in a team as well as independently
- Experience working in Agile delivery
- Knowledge of software development best practices
- Strong written and verbal communication skills
- DP200/DP201 certification is an added advantage
About Etihad Airways
Etihad Airways, the national airline of the UAE, was formed in 2003 and quickly went on to become 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. Together with Etihad’s codeshare partners, the network offers access to hundreds of international destinations. In recent years, Etihad has received numerous awards for its superior service and products, cargo offering, and loyalty programme, among others. The airline is committed to tackling the climate crisis and pursuing industry decarbonization through strategic partnerships with major global aviation brands and Original Equipment Manufacturers (OEMs).
