Snowflake Data Engineer

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.

Snowflake Schema, Software Development Lifecycle (SDLC), Quality Assurance, Test Plan/Schedule, Identify Issues, Root Cause Analysis, Delivery Management, Biotech and Pharmaceutical, SQL (Structured Query Language), Python Programming/Scripting Language, * 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, Atomic
• 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