
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