Senior Snowflake Data Engineer - Remote / Telecommute

CYNET SYSTEMS INC.
New Providence, NJ, United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$160,243.0 - $170,643.0
Working hours
Regular working hours

Tech stack

Airflow Data Analysis Confluence JIRA Software Quality Data Systems Data Warehousing Python (Programming Language) Uptime Metadata Shell Script Software Engineering
+8 more
SQL Databases Workflow Management Systems Azure Data Factory Snowflake Analytic Functions Git Data Lineage Data Management

Requirements

Our client is seeking an experienced Data Management Specialist responsible for developing, overseeing, organizing, storing, and analyzing data and data systems. The candidate will participate in all aspects of the software development lifecycle for Snowflake solutions, including planning, requirements, development, testing, and quality assurance. Working in tandem with the engineering team, the successful candidate will identify and implement optimal solutions while ensuring platform performance, uptime, and scale, maintaining high standards for code quality and thoughtful design. Additional responsibilities include troubleshooting incidents, identifying root causes, fixing and documenting issues, and implementing preventive measures in a fast-paced environment. Experience within the pharmaceutical domain and omni-channel data is a plus., * At least 8 years of experience designing and developing data solutions in an enterprise environment.

  • At least 5+ years of experience working on the Snowflake Platform.
  • Strong hands-on SQL and Python development skills.
  • Experience designing and developing data warehouses in Snowflake.
  • Ability to diagnose and tune SQL queries, with required knowledge of Azure Data Framework (including Azure Data Factory).
  • Strong hands-on experience with orchestration tools such as Airflow, Informatica, or Automic.
  • Good understanding of metadata and data lineage.
  • Hands-on knowledge of SQL analytical functions.
  • Strong knowledge and hands-on experience in Shell scripting and JavaScripting.
  • Good understanding of and exposure to Git, Confluence, and Jira.
  • Strong problem-solving and troubleshooting skills.
  • Team player with a collaborative approach and excellent communication skills.

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