Data engineer(level Middle-Senior)

Job Title: Data Engineer (level Middle-Senior)

Responsibilities

Automate and optimize data pipelines
Perform ETL tasks for data warehouse, optimizing queries for those tasks
Conceptualizing and generating infrastructure that allows big data to be accessed and analyzed
Prepare and analyze raw data for manipulation by data scientists, interpret trends and patterns
Create data tools for analytics and data scientist team members
Work with cloud infrastructure, assist SRE (site reliability engineering) team in deployment
Explore new data product
Build analytic reports

Requirements:

Know and understand about SQL and database architectures.
Understanding of machine learning
Know and understand about BigQuery and Elastic search
Know how to construct data mining, data pipelines and utilizing cloud platforms
Critical thinking skills
Numerical and analytical skills
Strong knowledge of probability and statistic
Project management and organizational skills is a bonus
Experience supporting and working with cross-functional teams in a dynamic environment
Open-mindedness and preparation to work in an international team
Knowledge of graphs, chart and data representation
Experience in one of data analytics tools: Tablue, Excel, Apache Spark, … is a bonus
Fluency in English is a bonus

Requirements by level

Level	Required	Optional
Fresher	Experience in at least one programming languages such as Python, R, Julia or other similar language Experience with SQL and databases	Experience with Google Cloud Platform, AWS or Azure Experience in data pipeline and workflow management tools Proficiency in English
Junior	Experience in at least one programming languages such as Python, R, Julia or other similar language Experience in writing and optimizing queries Experience in message queuing, stream processing, and highly scalable ‘big data’ data stores Experience with relational SQL and NoSQL databases Proficiency in English	– Experience with Google Cloud Platform, AWS or Azure Experience with data visualization products (Looker Studio, Power BI) Experience performing root cause analysis on internal and external data Experience in data pipeline and workflow management tools Data Engineering certifications are a bonus Experience with Machine Learning, Deep Learning Experience in data engineering position
Senior	Experience in data engineering position Proficient in at least one programming languages such as Python, R, Julia, C++ or other similar language Proficient in writing queries, designing database Proficient in data pipeline and workflow management tools Experience in building and optimizing “bigdata” pipelines, architectures and datasets Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores Experience in performing root cause analysis on internal and external data Experience with cloud platforms (preferably GCP, AWS) Experience with Machine Learning, Deep Learning Experience with data visualization products (Looker Studio, Power BI) Fluent in English	Data Engineering certifications about Microsoft, IBM, Cloudera. Data Management Association International (DAMA) or Certified Data Management Professional (CDMP) certification.

Benefits: Salary: (Negotiable)

An international, professional, young but innovative and dynamic environment working closely with international experts and joining conferences and workshops on exciting new technologies.
Full benefits for employees according to the Vietnam Labor Laws: social and health insurance
Holidays based on Vietnamese labor law + paid vacations
Opportunity to onsite in the US

Contact:

SETA International Viet Nam

Add: HL Tower, 82 Duy Tan, Ha Noi

Email: hr@setacinq.vn

Skype: Ms. Ngoc: live:f68ef2ffd797236d, Ms. Nhung: live:.cid.2379466ef237dee2

Website: https://www.seta-international.com/

Fanpage: https://www.facebook.com/SETA.International.careers/