Qatar AirwaysLocation Doha, QatarCategory Company & Business
We’ve launched into a serious digital transformation and we’re on the lookout for tech professionals such as you, who’re eager to make use of fashionable applied sciences to alter how hundreds of thousands of customers join, discover, and transact on our digital channels. We would like you to convey contemporary concepts from all domains, together with information engineering, large-scale system design, UI improvement, cellular functions and so forth. You ought to be gifted, versatile, enthusiastic and show management qualities.
Let’s discuss our imaginative and prescient to you. Qatar Airways is a worldwide chief with revolutionary merchandise which might be acknowledged by the business. Digital and analytics is a key a part of enabling our brilliant future. We launched into a journey to re-engineer how we ship digital merchandise and make expertise a core enterprise differentiating functionality and we want you to hold out this imaginative and prescient.
Therefore, in case you are on the lookout for a quick tempo work surroundings the place you’ll be able to achieve a as soon as in a lifetime transformation expertise, and have the chance to make multi-billion greenback influence then attain out to us and inform us how one can be a frontrunner in our crew.
On this position, you’ll create dependable architectures for constructing extremely scalable information pipelines to gather a considerable amount of information from totally different sources and remodel it right into a usable format for evaluation. You’ll design, implement, preserve a full suite of real-time and batch jobs that fuels our innovative information analytics platform to offer real-time intelligence to our companies. We want your expertise in designing and implementing information instruments for analytics and information scientists to assist them in constructing, optimizing and tuning of use instances.
Necessities and abilities required for this position
- Bachelor’s Diploma with minimal 4 years of knowledge engineering expertise.
- Minimal 2 years hands-on information engineering expertise in working with large information utilizing applied sciences like Hadoop/Hive, Hyperscale PostgreSQL, Java/Scala, Spark, Kafka, SQL and NoSQL, Python.
- Azure cloud-based information engineering options (ex: Azure Knowledge Manufacturing facility, Azure Knowledge Lake Retailer, Azure Databricks, Azure HDInsight).
- Expertise with elasticsearch, cloud-based data-warehousing system Snowflake can be added benefit