Data Engineer
منذ 4 يوم
source : ExploreJobs

We have embarked on a major digital transformation and we are looking for tech professionals like you, who are keen to use modern technologies to change how millions of users connect, explore, and transact on our digital channels.

We want you to bring fresh ideas from all domains, including data engineering, large-scale system design, UI development, mobile applications and so on.

You should be talented, versatile, enthusiastic and display leadership qualities.Let’s talk about our vision to you. Qatar Airways is a global leader with innovative products that are recognized by the industry.

Digital and analytics is a key part of enabling our bright future. We embarked on a journey to re-engineer how we deliver digital products and make technology a core business differentiating capability and we need you to carry out this vision.

Hence, if you are looking for a fast pace work environment where you can gain a once in a lifetime transformation experience, and have the opportunity to make multi-billion dollar impact then reach out to us and tell us how you can be a leader in our teamAbout Your Job : In this role, you will create reliable architectures for building highly scalable data pipelines to collect a large amount of data from different sources and transform it into a usable format for analysis.

You will design, implement, maintain a full suite of real-time and batch jobs that fuels our cutting edge data analytics platform to provide real-time intelligence to our businesses.

Key Responsibilities : Design, construct, install, test and maintain highly scalable and optimized data pipelines with state-of-the-art monitoring and logging practices.

Bring together large, complex and sparse data sets to meet functional and non-functional business requirements and use a variety of languages, tools and frameworks to marry data.

Design and implement data tools for analytics and data scientist team members to help them in building, optimizing and tuning of use cases.

Build data warehouse solutions. Develop routines for cleansing and harmonization of data from a variety of data sources.

Defines data catalogues, metadata to provide search ability and governance (including Records Management) for structured and unstructured data.

Identifies and manages reference data. Design and develop business intelligence dashboards using data visualization tools.

Develop REST APIs using data lake store as the source for application consumption. Conduct and own Root Cause Analysis (RCA) of reported incidents in operational systems through code, log and configuration reviews and ensure timely code, configuration or infrastructure fixes.

Build solutions which are scalable, resilient and sustainable to address business requirements. Tackle challenges and solve complex problems on a daily basis.

QualificationsAbout you : The applicant should have a Bachelor’s Degree or equivalent (Degree in engineering, computer applications, commerce, or business administration).

You must have minimum 4 years of data engineering experience. Should have excellent verbal and written communications skills.

Also possess good analytical, interpersonal skills and a proven team player.REQUIRED2+ years hands-on data engineering experience in working with big data using technologies like Hadoop / Hive, Hyperscale PostgreSQL, Java / Scala, Spark, Kafka, SQL and NoSQL, Python, azure cloud-based data engineering solutions (ex : Azure Data Factory, Azure Data Lake Store, Azure Databricks, Azure HDInsight).

Hands-on experience on data tools striim, streamsets, NiFi.Hands-on experience in data modeling, data visualization, and pipeline design & development.

Hands on experience with data warehouse platforms (ex : Snowflake, Azure Data Lake Analytics).Strong technical knowledge of performance tuning and query optimization on large data sets.

Very good command of English language.PREFFEREDExperience with elasticsearch.Experience with cloud-based data-warehousing system Snowflake.

Experience with ETL tool Informatica.Experience with data virtualization, semantic layer tool dremio.Experience with visualization tools - Tableau, Power BI.

Knowledge of airline domain.Knowledge of agile / lean development methodologies.

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