About this role

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

Data Engineer