数据工程师
上班地点:上海浦东区湖滨路222号企业天地
Responsibilities? ? Design and develop critical data integration projects? ? Develop and maintain ETL (Extract, Transform, and Load) solutions for data-sharing projects ? Integrate data with third party API, rest & SOAP API. ? Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘big data’ technologies. ? 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. ? Develop custom data models and algorithms to apply to data sets. ? Work with data and analytics experts to strive for greater functionality in our data systems ? Develop and deliver the data service for internal system and 3rd party system?
Requirements ? Over 3 years of working experience in a data engineer role. ? Experience building and optimizing ‘big data’ data pipelines, architectures and data sets. ? Considerable experience in ETL tools and solutions like Spark, AWS glue, Fivetran, Stitch, Singer Tap and target.? ? Familiar with scheduling solution like Airflow, Azkaban etc.? ? Family with the version control solution like Github, GitLab ? Advanced knowledge of relational databases, including proficiency with SQL? ? Experience working with cloud data warehouse(AWS redshift, Neptune, Google Big Query, or other cloud data warehouse) ? Proficient in one or more of the following programming language: Python or Scala ? Familiar with programming language like php, js? ? Consolidated working experience in AWS or GCP platform ? Ability to work in fast paced environment and shift gears quickly. ? A successful history of manipulating, processing and extracting value from large disconnected datasets ? Ability to work in fast paced environment and shift gears quickly.
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