Posted:
11/28/2024, 8:08:03 PM
Location(s):
Shenzhen, Guangdong Province, China ⋅ Guangdong Province, China
Experience Level(s):
Senior
Field(s):
Data & Analytics
Pay:
$50/hr or $104,000 total comp
You'll join a brilliantly diverse group from all corners of the world. After all, travel is about finding new perspectives and experiencing new people and cultures - and Skyscanner is strongest when our teams are both inclusive and diverse.
Skyscanner is an equal opportunities employer, and all qualified applicants will be considered for employment without discrimination based on protected characteristics such as age, ethnicity, race, religion or belief, political views, sexual orientation, sex, gender (whether identity, reassignment, or expression), pregnancy or maternity, marital status, disability or any other category protected by law.
We are committed to ensuring our application and recruitment processes are inclusive and accessible to everyone. If you require any reasonable adjustments or accommodations, please let our recruitment team know.
# What will you do:
*lead team to Build robust data pipelines, deliver new features based on evolving business requirements, and ensure seamless integration with existing systems using a diverse tech stack including Python, SQL, Spark, Airflow/Astro, AWS, Databricks, Tableau, Druid and Superset.
*lead your team to Collaborate across teams to implement new capabilities and features, enhance data collection, quality.
* Work with front-end teams to optimize data collection from travellers and improve data display.
* Drive continuous improvements in data quality and integrity:
* Conduct data analysis to identify areas for improvement and explore innovative solutions.
* Proactively address data quality issues, ensuring high standards are maintained as new features and data sources are introduced.
# Who are we looking for:
* You have a background in data, or are very passionate about diving into this field. Experience with technologies like Python, SQL, Spark, AWS, Airflow, or Databricks is valuable, but we’re also excited about candidates eager to learn these tools.
* You’re interested in working with data and transforming it into actionable insights. A desire to improve data quality are qualities we value.
* You communicate well and enjoy collaborative work. You’re comfortable with, or excited to learn about, cross-tribe and cross-functional communication.A
* You’re creative in your approach to problem-solving and adapt well to new situations. You’re curious about data-driven solutions and how they can make an impact.
* You’re committed to personal growth and enjoy sharing knowledge with others. You’re interested in understanding and contributing to engineering best practices.
Website: https://www.skyscanner.com/
Headquarter Location: Edinburgh, Edinburgh, City of, United Kingdom
Employee Count: 1001-5000
Year Founded: 2003
IPO Status: Private
Last Funding Type: Venture - Series Unknown