We are looking for a passionate Data Engineer (Infrastructure) to join our team.
THE WORK
- Data Infrastructure is at the core of data-driven culture. The Data Infrastructure team is responsible for building and maintaining the platforms and frameworks which drive the data ecosystem. Some of these systems include: data pipelines (ingestion), the Spark ecosystem and other derived data creation frameworks, the company-wide data lake, query execution systems (Presto/Trino)
- Model several streams of data into different storage formats like parquet to enable different statistical calculations.
- Work together with product teams (application, BI, DS,...), enabling them to make the most out of their data.
- Implement observability systems to track data quality and consistency.
BASIC QUALIFICATIONS
- Skill and knowledge in Python, and target in Big Data career.
- Knowledge with DevOps.
- Have an understanding of Data flow in DWH.
- At least 2 years of relevant working experience.
PREFERRED QUALIFICATIONS
- Skill and knowledge in Java, Scala.
- Good understanding of data management - data lineage, metadata, data governance.
- Have an understanding of big data and big data platforms.
- Knowledge with S3, Spark, Jupyter, Hive, Docker, Kubernetes, Airflow, Datahub, Trino, Starrocks, Superset.
- Skills in task and time management, proactive problem solver.
- Self-learning and applying into work skills.
- Teamwork and communication skills.
WHY YOU'LL LOVE WORKING HERE
- Negotiable salary according to qualification (13th month salary + Performance Bonus) ;
- The working environment is open, energetic and professional. More opportunities for career promotion;
- Free Food & Drink: lunch, fresh fruit/cake, coffee & tea.
- Premium healthcare: annual health check and attractive healthcare coverage under the company's own policy;
- Employee Relationship: company trip, team bonding & sport club;
- Leave Paid: 12 days for annual leave & 6 days for sick leave (max 18 days).