Full Stack Data Software Engineer
Date Posted
05 Oct, 2021
Work Location
Salary Offered
RM5000 — RM6000 monthly
Job Type
Experience Required
5+ years
Remote Work
Not Allowed
Stock Options
No
Vacancies
1 available
Airasia.com is a one-stop travel, e-commerce, and fintech platform offering consumers over 15 lines of products online and via its super-app. Powered by data and technology, airasia.com leverages its digital ecosystem of 75 million users and 40 million downloads of its super-app to generate a personalized and seamless consumer experience in the digital new era. From travel needs to everyday lifestyle essentials, there is always something for everyone on airasia.com. As we evolve as Asean Super App, we are looking to hire product managers to be part of the engagement and growth product team, leadership strategy, and create experiences that will impact the entire airasia.com platform.
Job Description
Are you ready to take off and be part of the All-Star employee? Whether you’re applying for a developer, customer happiness, or crew, at AirAsia we act as One AirAsia.
If you are hungry to make a difference with one of the most well-known low-cost airlines and to work in the dynamic technology hub, this is the job for you.
Group Data comes under AirAsia Digital which is responsible for spearheading digital transformation across AirAsia. Group Data works on business and operations problems across all entities in the AirAsia Group. Key problems we solve include improving revenue and reducing costs through large-scale data federation, predictive and prescriptive analytics, state-of-the-art machine/deep learning, intelligent scheduling and optimization, and other advanced techniques. Group Data is also responsible for the data lakes across all our businesses, deriving insights and value from them and sharing them back with the businesses. In addition, Group Data also actively participates in innovation and training in the Redbeat Academy as well as collaboration with strategic partners like Google, GE, Airbus, and academia.
Here’s what an ordinary day looks like:
• This position is for full individual contribution as part of the team and is a combination of Data Engineering and Software Engineering (and DataOps which is the DevOps version of Data Engineering).
• You will package, adapt, transform and deploy the deliverables and outputs of Data Scientists, to become production-level Data Products, part of other Software Products, or to be consumed by internal software/data products and teams. This includes but is not limited to: professional dashboards integrated with existing or new software/Data products, professional APIs, production-level microservices, maintaining the data products, security, authentication and integration of data products, APIs, microservices, etc.
• You will transform the internal or POC-level dashboards, scripts, APIs, programs, (dynamic) reports, insights, codes, databases, etc. created by Data Scientists, to become production-quality integrated dashboards; professional, secure, integrated and authenticated APIs, Data Products, integrated with other Software Products, etc.
• You will take charge of inputs and outputs of Data Scientists, and complement their skill sets and experience.
• Act as the bridge between Data Scientists, and Data-Products/product teams/software development teams.
• As needed, work closely together with other Data Engineers.
• As needed, take part in front-end and back-end web development, mobile app development, and other types of software development.
• You got to have these to carry out the job :
• Possess capabilities of Data Engineers: start from raw data, collect and source data, and design, create and maintain data pipelines and prepare everything for Data Scientists to make use of.
• Successfully completed a lot of industry projects in both Data Engineering, and Software Engineering/Development.
• Experienced in deploying and maintaining data and software products, including containerization and orchestration tools.
• Experience using Google Cloud Platform products and services (such as BigQuery and App Engine, AI Platform, Cloud Big Table, Cloud Firestore, Cloud Run and Kubernetes Engine), Google Data Studio, Docker, Kubernetes, Git, etc.
• Experienced in both front-end and back-end programming languages such as Python, Java (server backend and/or mobile app), Golang, JavaScript (and its frameworks and libraries), HTML and CSS, and experience with code versioning, code review, and documentation.
• Experienced in web development, mobile app development, and various kinds of software development and deployment.
• Experience with SQL and NoSQL databases, data pipeline and workflow management tools, various messaging and stream processing, data ETL from a wide variety of data sources.
• Able to select and integrate big data tools and frameworks.
• Good working knowledge of productivity tools such as G Suite, Git, Jira, and Confluence.
• Proficient understanding of cloud, server, and distributed computing and deployment principles.
• Have experience in test automation, creation of code repositories, creating and maintaining production-level APIs and microservices, framework orchestration, collaboration and workflow management, data preparation, and integration.
The job is ideal for you if you have:
• BS/MS in IT, Data, Software Engineering, Computer Engineering, Engineering disciplines.
• At least 5 years of relevant experience beyond the first degree.
• Knowledge and skills of Machine Learning, AI, Deep Learning, and predictive analysis are NOT required because those tasks will be taken care of by Data Scientists, Machine Learning & AI experts, etc. This role should complement the skills of Data Scientists, rather than having mostly overlapping skills with Data Scientists.
What makes an Allstar employee? You allow yourself to ‘Dare to Dream’ big dreams and seize the day. You ‘Make things Happen’, you like taking efforts and achieving it. Without any effort, no dream will get fulfilled.
Our companies include Airasia.com, BigPay, Teleport, BigLoyalty, RedBeat Ventures, Santan, Ourfarm, Redbeat Academy, AirAsia Foundation, Tune Group of Hotels, TuneProtect, OURSHOP, FORM.AT, Airasia Ads
AirAsia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability, or age.
We are all different - one talent to another - that is how we rely on our differences. At AirAsia, you will be treated fairly and given all chances to be the best. We are committed to creating a diverse work environment and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Search Firm Representatives - AirAsia does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position-specific.
Job Description
Are you ready to take off and be part of the All-Star employee? Whether you’re applying for a developer, customer happiness, or crew, at AirAsia we act as One AirAsia.
If you are hungry to make a difference with one of the most well-known low-cost airlines and to work in the dynamic technology hub, this is the job for you.
Group Data comes under AirAsia Digital which is responsible for spearheading digital transformation across AirAsia. Group Data works on business and operations problems across all entities in the AirAsia Group. Key problems we solve include improving revenue and reducing costs through large-scale data federation, predictive and prescriptive analytics, state-of-the-art machine/deep learning, intelligent scheduling and optimization, and other advanced techniques. Group Data is also responsible for the data lakes across all our businesses, deriving insights and value from them and sharing them back with the businesses. In addition, Group Data also actively participates in innovation and training in the Redbeat Academy as well as collaboration with strategic partners like Google, GE, Airbus, and academia.
Here’s what an ordinary day looks like:
• This position is for full individual contribution as part of the team and is a combination of Data Engineering and Software Engineering (and DataOps which is the DevOps version of Data Engineering).
• You will package, adapt, transform and deploy the deliverables and outputs of Data Scientists, to become production-level Data Products, part of other Software Products, or to be consumed by internal software/data products and teams. This includes but is not limited to: professional dashboards integrated with existing or new software/Data products, professional APIs, production-level microservices, maintaining the data products, security, authentication and integration of data products, APIs, microservices, etc.
• You will transform the internal or POC-level dashboards, scripts, APIs, programs, (dynamic) reports, insights, codes, databases, etc. created by Data Scientists, to become production-quality integrated dashboards; professional, secure, integrated and authenticated APIs, Data Products, integrated with other Software Products, etc.
• You will take charge of inputs and outputs of Data Scientists, and complement their skill sets and experience.
• Act as the bridge between Data Scientists, and Data-Products/product teams/software development teams.
• As needed, work closely together with other Data Engineers.
• As needed, take part in front-end and back-end web development, mobile app development, and other types of software development.
• You got to have these to carry out the job :
• Possess capabilities of Data Engineers: start from raw data, collect and source data, and design, create and maintain data pipelines and prepare everything for Data Scientists to make use of.
• Successfully completed a lot of industry projects in both Data Engineering, and Software Engineering/Development.
• Experienced in deploying and maintaining data and software products, including containerization and orchestration tools.
• Experience using Google Cloud Platform products and services (such as BigQuery and App Engine, AI Platform, Cloud Big Table, Cloud Firestore, Cloud Run and Kubernetes Engine), Google Data Studio, Docker, Kubernetes, Git, etc.
• Experienced in both front-end and back-end programming languages such as Python, Java (server backend and/or mobile app), Golang, JavaScript (and its frameworks and libraries), HTML and CSS, and experience with code versioning, code review, and documentation.
• Experienced in web development, mobile app development, and various kinds of software development and deployment.
• Experience with SQL and NoSQL databases, data pipeline and workflow management tools, various messaging and stream processing, data ETL from a wide variety of data sources.
• Able to select and integrate big data tools and frameworks.
• Good working knowledge of productivity tools such as G Suite, Git, Jira, and Confluence.
• Proficient understanding of cloud, server, and distributed computing and deployment principles.
• Have experience in test automation, creation of code repositories, creating and maintaining production-level APIs and microservices, framework orchestration, collaboration and workflow management, data preparation, and integration.
The job is ideal for you if you have:
• BS/MS in IT, Data, Software Engineering, Computer Engineering, Engineering disciplines.
• At least 5 years of relevant experience beyond the first degree.
• Knowledge and skills of Machine Learning, AI, Deep Learning, and predictive analysis are NOT required because those tasks will be taken care of by Data Scientists, Machine Learning & AI experts, etc. This role should complement the skills of Data Scientists, rather than having mostly overlapping skills with Data Scientists.
What makes an Allstar employee? You allow yourself to ‘Dare to Dream’ big dreams and seize the day. You ‘Make things Happen’, you like taking efforts and achieving it. Without any effort, no dream will get fulfilled.
Our companies include Airasia.com, BigPay, Teleport, BigLoyalty, RedBeat Ventures, Santan, Ourfarm, Redbeat Academy, AirAsia Foundation, Tune Group of Hotels, TuneProtect, OURSHOP, FORM.AT, Airasia Ads
AirAsia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability, or age.
We are all different - one talent to another - that is how we rely on our differences. At AirAsia, you will be treated fairly and given all chances to be the best. We are committed to creating a diverse work environment and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Search Firm Representatives - AirAsia does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position-specific.
About AirAsia
The Asean super app that lets you travel, experience, shop, eat and enjoy rewards
Company Size: Not Specified
Year Founded: Not Specified
Country: Malaysia
