Senior Data Engineer

4 weeks ago


Vancouver, Canada Celestial Systems Full time

Celestial Systems, a name synonymous with Enterprise Softwaredevelopment since 2001. By designingreliable software,delivering quality services, and developing valuable partnerships, we are on a journey of continuousinnovation. Ourenterprise-level experience in engineering enables us to offer critical development services fororganizations to besuccessful in the digital ages. Moreover, at Celestial, we focus on adhering to the complete softwaredevelopmentlifecycle process. Our experts are curious to work with the latest technologies and are extremelypassionate aboutsoftware development. Whether its Frontend Development, Backend, DevOps, QA and Testing or CloudHosting, ourtailor-made technology solutions, provide answers to the problems.We are ISO certified enterprise-grade software company.

Roles and Responsibilities

Senior Data Engineer will oversee the department's data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis.

Requirements
  • Design, implement, test, deploy, and maintain stable, secure, and scalable data engineering solutions and pipelines in support of data and analytics projects, including integrating new sources of data into our central data warehouse, and moving data out to applications and affiliates.
  • Build reports and data visualizations, using data from the data warehouse and other sources.
  • Produce scalable, replicable code and engineering solutions that help automate repetitive data management tasks.
  • Perform one-off data manipulation/munging and analysis on a wide variety of political and organizing data.
QUALIFICATIONS:
  • 5 to 8 years of experience in a data engineering role.
  •   Strong command of relational databases and SQL. Extract, Transform, and Load (ETL) data into a relational database.
  • Proficiency with Python or R, especially for data manipulation and analysis, and ability to build, maintain and deploy sequences of automated processes with these tools.
  • General data manipulation skills: read in data, process and clean it, transform and recode it, merge different data sets together, reformat data between wide and long, etc.
  • Experience working with cloud infrastructure services like Amazon Web Services and Google Cloud is preferred but not required.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees.
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