Data Engineer (SQL, Databases, Oracle)

Rackspace Technology (acquired Just Analytics)
Expired
Fl 8-Unit 802, Tòa nhà Beautiful Saigon, 2 Nguyễn Khắc Viện, Phường Tân Phú, District 7, Ho Chi Minh
At office

Top 3 reasons to join us

  • Extra Health care
  • Training course
  • International environment

Job description

  • Collaborate with customer to gather requirements and to understand their business processes.
  • 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 Spark, SQL, and 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.
  • Use tools to deploy and monitor the performance of the systems in production.

Your skills and experience

  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Strong analytic skills related to working with unstructured datasets.
  • Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets.
  • We are looking for a candidate with > 1+ years of experience in a Data Engineer role. They should also have experience using the following software/tools:
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL databases such as Oracle, SQL Server, MySQL or Postgres.
  • 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, C++, Scala, etc.
  • For senior data engineers also should have demonstrable experience in
  • Project management and organizational skills.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • Good Academic track record preferred
  • Some experience in visualization tools such as PowerBI/Tableau or other BI tools will be beneficial.

QUALIFICATIONS

  • Degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
  • 1+ years of relevant experience.
  • Negotiable salary.

Why you'll love working here

  • Extra health care also for family
  • Training course
  • International working environment
  • Based on company's regulation

Rackspace Technology (acquired Just Analytics)

View company

Just Analytics - Member of Rackspace Technology

Company type
IT Product
Company size
1000+ employees
Country
United States
Working days
Monday - Friday
Overtime policy
No OT