Expired
Top 3 reasons to join us
- Attractive salary + benefits
- Free lunch
- Flexible working from home
Job description
We are looking for innovative data and software engineers to build and evolve our leading financial products. You will work with a team of young and talented engineers to build robust and scalable big data pipelines, conduct advanced research in implementing state-of-the-art ML and AI techniques, build high-quality data services that are both real-time and batch-based.
B. RESPONSIBILITIES
- Work collaboratively with a core team, participate in architecture and design reviews for projects that require complex technical solutions.
- Designing, developing and maintaining ETL data pipelines for petabyte-scale streaming data.
- Constantly monitoring, identifying data anomalies that could affect performance in production.
- Enhancing data collection to integrate information that is relevant to products.
- Doing analysis, explore and visualize data to gain an understanding of it, presenting insight of data in a clear manner.
Your skills and experience
- Bachelor's degree or higher in Computer Science, IT, Software Engineer, Software Development.
- Knowledge of Relational and NoSQL databases such as MongoDB, ElasticSearch, Postgres, experience in data mining (SQL, ETL, data warehouse, etc.) and using databases in a business environment with large-scale, complex datasets.
- Hands on experience with Hadoop and Big Data related technologies such as Map Reduce, Spark, Hive, HBase, Kafka, experience with data pipeline and workflow management tools: Luigi, Airflow.
- Great communication skills, strong problem-solving capabilities and a desire to learn
- Strong debugging, analytical and problem solving abilities, excellent team player with the ability to maintain strong internal and external relationships.
Why you'll love working here
- Competitive starting salary.
- 13th salary, and bonuses depend on company profits, project reward.
- Free lunch and happy Friday.
- Company-provided Apple computers.
- Flexible working hours and working from home.
- Teambuilding and company trip at 5-star resort.
DATA NEST
View company
DATA NEST is a leading data analytics provider for financial services in Vietnam
Company type
IT Product
Company size
1-50
employees
Country
Vietnam
Working days
Monday - Friday
Overtime policy
No OT
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