Job Summary
Job description
Overview of job
Responsibilities for Data Engineer
- Create and maintain optimal data pipeline architecture,
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS/GCP/Azure ‘big data’ technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Work with data and analytics experts to strive for greater functionality in our data systems.
Job Requirement
Your Skills and Experience
Qualifications for Data Engineer
- We are looking for a candidate with 3+ years of experience in a Data Engineer role. Having a degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field is a plus. They should also have experience using most of the following software/tools/platforms:
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
- Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- Experience with AWS/GCP/Azure cloud services.
- Experience with stream-processing systems: Storm, Spark-Streaming, etc.
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Able to understand various data structures and common methods in data transformation
- Strong analytic skills related to working with structured and/or unstructured datasets.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- A successful history of manipulating, processing and extracting value from large disconnected datasets.
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
- Strong project management and organizational skills.
- Experience supporting and working with cross-functional teams in a dynamic environment.
Languages
-
English
Speaking: Intermediate - Reading: Intermediate - Writing: Intermediate
Technical Skill
- Python
- AWS
- Java
- C++
- Statistics
- Cassandra
- NoSQL
- MS SQL
- Hadoop
- Apache Spark
- Scala
- MS Azure
- Big Data
- Apache Kafka
- Stream processing
- Root Cause Analysis
- GCP
COMPETENCES
- Analytic Skills
- Project Management
- Organizational Skills
- Dynamic
BUSINESS PROFILE
Vincommerce is a member of Vingroup and owns Vinmart supermarket, Utility stores/Vinmart+ mini supermarket, VinPro Electronics Center, eCommerce website Adayroi.
Vincommerce General Trading Service Joint Stock Company is a member of Vingroup and owns Vinmart supermarket, Utility stores/Vinmart+ mini supermarket, VinPro Electronics Center, eCommerce website Adayroi. With expansion plans and ongoing development operations across the country, we constantly recruit candidates in many different positions, bring the job opportunities with attractive income for the candidates.
Benefits:
- Dynamic and professional working environment
- Training opportunities
- Salary, bonus and other attractive benefits