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What is a Talent Network

Joining our Talent Network will enhance your job search and application process. Whether you choose to apply or just leave your information, we look forward to staying connected with you.

Why Join?

  • Receive alerts with new job opportunities that match your interests
  • Receive relevant communications and updates from our organization
  • Share job opportunities with family and friends through Social Media or email

Join our Talent Network today!

Job Benefit

  • Insurance
  • Travel opportunities
  • Incentive bonus
  • Health checkup
  • Training & Development
  • Salary review

Job Description

OBJECTIVES

- Work with data to solve business problems, building and maintaining the infrastructure to answer questions and improve processes.

- Help streamline our data science workflows, adding value to our product offering and building out our customer lifecycle and retention models.

- Work closely with the data analyst teams to develop data models and pipelines for research, reporting

JOB DESCRIPTION

- 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.

- 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

1. Knowledge

- 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.

- 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.

- Experience with big data tools: Hadoop, Spark, Hive, etc.

- Experience with relational SQL and NoSQL databases including Postgres, SQL Server, Oracle, MySQL, Solr, Elasticsearch, Cassandra.

- Experience with data pipeline and workflow management tools: Luigi, Airflow, etc.

- Experience with stream-processing systems: Storm, Spark-Streaming, Kafka, etc.

- Having knowledge in the financial market, or the stock market will be a plus (but don‘t worry if you haven‘t, you can learn all about how to be a successful stock investor after joining us!).

2. Skills

- Strong analytic skills related to working with unstructured datasets.

- Build processes supporting data transformation, data structures, metadata, dependency and workload management.

BENEFITS

- Community of people who do their jobs with integrity and dedication to service

- Professional financial working environment.

- Work with a spirit of mastery, creativity and challenge

- Performance-based compensation

- Competitive Salary based on performance and contribution value

- 100% salary upon successful probation and annual salary review

- Join health insurance, medical insurance, accident insurance 24/24

- Institutional cultures and development education

- Open working space with modern equipment

- Rich and vibrant cultural and volunteer activities

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