Senior Snowflake Data Engineer for Pharma Analytics

Apexon; Parsippany-Troy Hills (NJ); Vor Ort; USD 120.000 - 180.000; Vollzeit

Zusammenfassung

Apexon in Parsippany-Troy Hills, NJ seeks an Experienced Data Management Specialist to design, develop, and govern enterprise data solutions using Snowflake. You will partner with engineering teams to plan requirements, implement robust data pipelines, and ensure performance and scalability.

Responsibilities include troubleshooting, documenting root causes, and ensuring data quality. Strong SQL/Python skills and expertise in data warehouses and metadata lineage are required.

Qualifikationen

• At least 8 years of experience designing and development of data solutions in enterprise environments.
• At least 5+ years of 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 Factory knowledge is needed.
• Hands-on experience with orchestration tools e.g. Airflow, Informatica, Automic.
• Knowledge of metadata and data lineage.
• Hands-on knowledge of SQL analytical functions.
• Strong knowledge of shell scripting and Java scripting.
• Proficient with Git, Confluence and Jira.
• Strong problem solving and communication skills.

Aufgaben

• Design and develop Snowflake data warehouses and data models.
• Build and maintain robust data pipelines using Snowflake and Azure Data Factory.
• Tune and optimize SQL queries for performance and scalability.
• Collaborate with engineering teams to deliver reliable data solutions.

Kenntnisse

SQL

Python

Snowflake

Data warehousing

ETL orchestration

Metadata & lineage

Data analysis

Shell scripting

Git

Confluence

Jira

Tools

Airflow

Informatica

Automic

Azure Data Factory

Git

Confluence

Jira

Shell scripting

Jobbeschreibung

Apexon in Parsippany-Troy Hills, NJ seeks an Experienced Data Management Specialist to design, develop, and govern enterprise data solutions using Snowflake. You will partner with engineering teams to plan requirements, implement robust data pipelines, and ensure performance and scalability.

Responsibilities include troubleshooting, documenting root causes, and ensuring data quality. Strong SQL/Python skills and expertise in data warehouses and metadata lineage are required.