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Senior Snowflake Data Engineer / Snowflake Data Management Specialist

Cyber Sphere LLCUnited States🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeRemote
LocationUnited States
SQLShellGitSnowflakeAirflowConfluenceJavaPythonAzureJiraAzure Data Factory

Job description

Job title: Senior Snowflake Data Engineer / Snowflake Data Management Specialist

Location: Remote@ NJ -But Need Locals to NJ/NY/CT/PA

Duration: Long term

A few specific requirements from the client:

  • Travel: The team meets in person at their Parsippany office once every 3–6 months. Resources should be willing to travel, with travel expenses covered by the resource.
  • Location: East Coast candidates are preferred, ideally local to Parsippany, NJ. Jobs are completely remote.
  • Interview Process: Two rounds of interviews, with the second round conducted in person at their Parsippany office.
  • LinkedIn Profile: Candidates must have an established LinkedIn profile dating back to before 2020.


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 10 years of experience designing and development of data solutions in enterprise environment

At least 6+ 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

Regards,

Sai Srikar

Email:

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