Data Engineer

We are looking for savvy Data Engineers to join our growing team of analytics experts. The hire will be responsible for building, expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.
Responsibilities for Data Engineer
● 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
● Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
● Assemble large, complex data sets that meet functional / non-functional business requirements.
● 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.
● Create and maintain optimal data pipeline architecture,
● Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
● Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

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:
● Able to understand various data structures and common methods in data transformation
○ Experience with object-oriented/object function scripting languages such as Python, Java, C++, Scala, etc.
○ Experience with big data tools: Hadoop, Spark, Kafka, etc.
○ Experience with stream-processing systems: KSQL, 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.
• Having Data Engineer certification from major cloud providers is a plus.
● Build processes supporting data transformation, data structures, metadata, dependency and workload management.
○ Experience with GCP/AWS/Azure cloud services.
● Strong analytic skills related to working with structured and/or unstructured datasets.
● Experience supporting and working with cross-functional teams in a dynamic environment.
○ Experience with relational SQL and NoSQL databases.
● Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
○ Experience with data pipeline and workflow management tools: Airflow, Azkaban, Luigi, etc.
● Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets.
● 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.
Chế độ đãi ngộ
• Mức thu nhập hấp dẫn theo năng lực
• Bảo hiểm sức khỏe của Bảo Việt/ BHXH theo luật
• Ưu đãi đặc biệt khi sử dụng sản phẩm, dịch vụ tại Vinmec, Vinhomes, Vinschool, VinFast…
• Tham gia các chương trình đào tạo theo từng cấp hàng năm.
• Lương tháng 13 và thưởng theo năng lực hàng năm theo chính sách Tập Đoàn
• Phụ cấp ăn trưa
• Môi trường năng động, nhiều thử thách và cơ hội phát triển

Tháng lương thứ 13: Theo chính sách của Công ty.

Bảo hiểm Y tế: được hưởng chế độ theo chính sách của Bảo hiểm Y tế; được Công ty mua Bảo hiểm SK

Thưởng theo KPI và các chính sách Khen thưởng của Công ty.

Cập nhật gần nhất lúc: 2021-02-08 12:10:02