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Data Engineer

Planet Pharma · Commercial & Professional Services
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Job Description:

Data Engineer

 
  Job Description

  • Experienced Data management specialist responsible for developing, overseeing, organizing, storing, and analyzing data and data systems
  • Participate in all aspects of the software development lifecycle for Snowflake solutions, including planning, requirements, development, testing, and quality assurance
  • Work in tandem with our engineering team to identify and implement the most optimal solutions
  • Ensure platform performance, uptime, and scale, maintaining high standards for code quality and thoughtful design
  • Troubleshoot incidents, identify root causes, fix and document problems, and implement preventive measures
  • Able to manage deliverables in fast paced environments
  • Experience with Pharma domain and Omni-channel data is a plus.

Required Skills and Experience

  • At least 8 years of experience designing and development of data solutions in enterprise environment
  • At least 5+ years’ experience working on Snowflake Platform
  • Strong hands on SQL and Python development
  • Experience with designing and development data warehouses in Snowflake
  • Ability to diagnose and tune SQL queries – Azure Data Framework (azure data factory, etc.) knowledge is needed
  • Strong hands-on experience with Orchestration Tools e.g. Airflow, Informatica, Automic
  • Good understanding on Metadata and data lineage
  • Hands on knowledge on SQL Analytical functions
  • Strong knowledge and hands-on experience in Shell scripting, Java Scripting
  • Good understanding and exposure to Git, Confluence and Jira
  • Good problem solving and troubleshooting skills.
  • Team player, collaborative approach and excellent communication skills

 

Pay Rate Range: $65-84/hr depending on experience