The ideal candidate is an experienced data pipeline builder and data wrangler and 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 and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They 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 re-designing 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.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 / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing 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.Requirements: Education & Experience- 5-8 years of experience in 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 Modelling and design concepts
- Experience in Power BI, SFTP, Messaging, APIs would be an advantage
- Excellent analytical and organization skills.
- Effective working in a team as well as working independently.
- Experience of working in Agile delivery
- Knowledge of software development best practices.
- Strong written and verbal communication skills.
- DP200/DP201 certification is added advantageAbout Etihad AirwaysEtihad 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, Etihad\'s network offers access to hundreds of international destinations. In recent years, Etihad has received numerous awards for its superior service and products, cargo offering, loyalty programme and more. Etihad is recognised as one of the world\'s leading airlines in response to COVID-19 and was the first airline in the world to fully vaccinate its crew on board.ABOUT THE COMPANYEtihad Airways is the National Airline of the United Arab Emirates. The airline was set up by a Royal Decree in July 2003, with Abu Dhabi, the capital of the UAE, as its hub. Etihad started commercial operations in November 2003.With Etihad, everyone who flies with us is welcomed as our guest.This simple credo illuminates everything we do, from big things like making sure that our fleet is one of the most advanced in the sky, to small touches like letting you choose the films you watch.Were proud to be the National Airline of the United Arab Emirates. At the crossroads between Europe and Asia, our home reflects our commitment to bringing the world closer together - as does our highly cosmopolitan staff.

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