Senior Back end Developer
Hà Nội, Vietnam
6 ngày trước
source : CareerBuilder

Mô tả Công việc

  • Academic : BA / BS degree in computer science or equivalent.
  • Professional : 5+ years experience developing software as a data engineer
  • Skills / Requirement

  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as
  • working Familiar 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.
  • Strong analytic skills related to working with 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.
  • have experience using the following software / tools :
  • 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 stream-processing systems : Storm, Spark-Streaming, etc.

    Experience with object-oriented / object function scripting languages : Python, Java, R , etc.

  • Ability to work in English (read / write)
  • Yêu Cầu Công Việc

    Key Responsibilities 1

  • Development of server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end
  • Building reusable code and libraries for future use
  • Optimization of the applications for maximum speed and scalability
  • Implementation of security and data protection
  • Database creation, integration, and management
  • Creation of APIs for use by the front-end
  • Work on bug fixing and improving application performance. Keep up to date on
  • the latest industry trends and best practice

  • Keep up to date on the latest industry trends in new technologies
  • Key Responsibilities 2

  • 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 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.
  • Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
  • 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.
  • Key Responsibilities 3

  • Help lead the definition and implementation of the standards, guidelines and architectural reviews
  • Provide project oversight, code and design review leadership
  • Work very closely with Bank Architects, Vendor Architects to implement the digital project
  • Hands on coding and whiteboard-session leadership
  • Lead the maintenance, implementation and improvement of the core infrastructure components
  • Work with teams to identify software in their products that can be componentized for company-wide reuse
  • Thông tin khác

  • Hình thức : Nhân viên chính thức
  • Nộp đơn
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