Job Responsibilities

Your Role

- Building data processing based on jointly defined requirements along the data pipeline under the concern

of quality and having alert in place

- Improve scalability, speed, accuracy of the existing data pipelines

- Works closely with both the data architecture, data scientist, and product owners to help them leverage

data solutions in their products

- Providing guidance on suitable options, designing, and creating data pipeline for the analytical solutions

data lake or data warehouse to specific micro services

- Supporting the bug fixing and performance analysis along the data pipeline

- Bring experience of Data WareHouses, and Data Lakes to development team

- Be a strong advocate for a culture of process and data quality across development teams

Qualifications

Your Profile

- At least a Bachelor's Degree in Computer Sciences, Software Engineering or equivalent experience

- Experience building big data pipelines with Spark, Spark Streaming or big data frameworks

- Strong programming skills such as Scala, Java, Python

- Strong analytical and problem-solving skills

- A good understanding in data structures or data architecture.

- Good communication skills. Be able to convey the complex idea effectively

- Can do attitude, service orientation, and self-learning skill; superb team player

- Ability to provide development solutions in accordance with the Software Development Life-Cycle

methodologies such as SCRUM and Agile

- Bonus Skill: Telecom industry and data model knowledge

- Bonus Skill: Experience in SQL, NoSQL, Linux, Shell Scripting, Apache Airflow, Databricks or Cloud platform

such as Google, AWS