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