Tiket.com sedang merekrut seorang
Lead Data Engineer
Loker ini dibuat lebih dari 2 bulan yang lalu
We think you also hate when travel app is giving you a headache, right? A slight misinformation can ruin the trip.
That is exactly what we are tackling as t-fam! Making sure that our 17+ million users have the best experience in crafting their own adventure.
#LI-Hybrid
As a data engineer, you will implement methods to improve data reliability and quality. They combine raw information from different sources to create consistent and machine-readable formats. Data engineers will also develop and test architectures that enable data extraction and transformation for predictive or prescriptive modeling. Data engineers are also responsible for building algorithms to help give easier access to raw data, but to do this, they need to understand company’s. It’s important to have business goals in line when working with data, especially for companies that handle large and complex datasets and databases.
Your main duties in flying with us:
- Analyze and review requirements for data infrastructure improvement
- Implement scalable architecture and work on a committed team
- Manage task timeline and distribution, and actively update project status
- Provide assistance and guideline to the team in day-to-day issues
- Perform people management, in terms of mentoring and coaching and managing their career path and development plan
- Lead a team of engineers to design, develop, and deliver features and improvements
Mandatory belongings that you must prepare:
- Experience in working with data engineering or data platform
- Experience in leading a team of engineers; you have the ability and interest to teach others best practices and mentor less experienced engineers
- Strong sense of ownership and self-starter who is target-driven and motivated
- Experience in using Google Cloud Product or other cloud solutions is a plus
- Expert in SQL and high-level languages such as Python, Java, or Scala
- Experience building clean, maintainable, and well-tested code
- You have led technical projects from concept, design, to delivery
- Built and maintained data warehouses and ETL pipelines
- Experience with real-time data streaming infrastructures like Kafka (preferred), Dataflow or Spark
- Deep understanding of distributed systems
- You will be working with BigQuery, DBT, Airflow, Python, Kafka, git and we welcome new ideas!
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