Job Purpose: At Emirates, we believe in connecting the world, to and through, our global hub in Dubai; and in constantly innovating to ensure our customers Fly Better. Join the Emirates Group IT Team in Dubai. Emirates Group IT thrives on the dynamic nature of technology. Being pioneers in aviation innovation, we're always at the forefront, pushing boundaries. We're on the lookout for exceptional IT professionals to fortify our position as leaders in the industry. Embark on a journey with the worlds largest international airline and become a vital part of our cutting-edge information and technology team as Senior Data Engineer - Quality & Automation .The Senior Data Quality & Automation Engineer is a fully participating member of a cross-functional team working autonomously on technology development and problem resolution in the Enterprise Data & Analytics space. The role involves hands-on contributing to quality practices along with designing and implementing data quality and automation platforms. They will also provide support to technical analytics solutions and products that support Emirates Airlines and the Emirates Group businesses.Job Outline:

• Work closely with product owners, analysts, software engineers, and architects to understand the technical landscape and context of deliveries to refine complex functional and non-functional requirements and translate it into fit-for-purpose acceptance tests.
• Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors and selection methods to validate and automate the solution.
• Build test strategies and test plans validating the core business problem and translating them into tests around code functionality, data quality, performance, and security.
• Build and support generating or mocking of test data for exploratory analysis and running tests.
• Design and build automated tests/jobs of moderate to high scope and complexity across all stages of the data pipeline while demonstrating good coding & design practices and adhering to published coding standards and guidelines.
• Build and enhance data quality rules and platforms for observability across the data pipeline
• Debug complex issues, resolve blockers, and follow design documents with minimal or no supervision.
• Conduct data analysis activities such as source system analysis, data modeling, data dictionary collection, data profiling, and source-to-target mapping ensuring delivery of business needs.
• Support in updating data inventories and registries as required to keep metadata and data lineage up-to-date, following agreed Data Governance standards, guidelines, and principles.

Qualifications & Experience: Qualification:

• Information Technology & Other, Degree or Honours (12+3 or equivalent).
• Degree in a relevant field such as Computer Science, Computational Mathematics, Computer Engineering, or Software Engineering.

Experience:

• Specialization or electives in a Data & Analytics field (e.g. Data Warehousing, Data Science, Business Intelligence) a nice-to-have Experience 2+ years of Data Engineering experience with a focus on quality & automation
• Minimum 2+ years of testing, automation, and support experience in analytics applications such as Data Lake and Data Warehouse (preferably using the Big Data stack and Microsoft Azure cloud infrastructure)
• Seasoned in identifying quality issues across complex data pipelines running on big data technologies and defining rules for validating the health of the data
• Experienced in a wide variety of testing methods and tools covering functional, performance, and security tests across individual jobs, pipelines, and end-to-end across enterprises.
• Well-versed in building automated checks running in a CI pipeline to validate that the ETL / ELT jobs are performing as expected
• Experience with batch and real-time data ingestion/integration tools and technologies handling massive quantities of data (structured and unstructured)
• Exposed to data architecture concepts such as data modeling, Big Data storage, and dimensional modeling
• Exposed to working with jobs in data pipelines and defining metrics/measures to ensure the correctness of the data
• Programming (Python or Scala) and SQL querying skills are required
• Exposure to Spark & airline industry experience is nice to have

Knowledge/Skills:

• Ability to drive the quality of data assets independently
• Able to deliver solutions (and associated value) interactively
• Strong ability to conduct data analysis (e.g. source system identification, data dictionary/metadata collection, data profiling, source-to-target mapping) is preferred
• Operates with a "You Code It", "You Own It" mindset (i.e. supports the products they build)
• Team player, able to collaborate with others to remove blockers, solve complex design problems, and debug/resolve issues
• Is accountable and displays a positive attitude - Self-starter and has a passion for exploring and learning new technologies, especially those in the Enterprise Data & Analytics space Technology Domain

Key Technologies/Tools Big Data & distributed processing: Spark, Hadoop (HDFS, Hive, H-Base, Oozie), Airflow, Apache Nifi, Azure (ADLS, DataBricks, Azure Data Factory) Elasticsearch, AVRO / PARQUET file formats Data Analysis, Modelling and Reporting: Snowflake, SQL, Data Vault 2.0, MicroStrategy, Power BI Cloud Technologies: Microsoft Azure and Cloudera technology stacks Integration and Messaging: Streaming (e.g. Spark Streaming), SnapLogic, TIBCO, Kafka, CI/CD: GIT, Bitbucket, Jenkins, Azure DevOps, Kubernetes, docker, SonarQube, Gatling Languages: Scala, PythonLeadership Role: NO
Salary & Benefits: Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world. You can find out more information about our employee benefits in the Working Here section of our website confidential Further information on whats it like to live and work in our cosmopolitan home city, can be found in the Dubai Lifestyle section.This job has been sourced from an external job board.
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