Job Description

GNR Systems INC. is searching for an experienced SR Data Engineer who is a self-starter and thrives in a flexible and collaborative work environment. You will be planning, facilitating, and leading teams across the finish line of project success.

Here at GNR Systems INC., we believe that our employees are our greatest asset. Which is why our robust employee benefits and fun, family-like culture is something we pride ourselves on. Our commitment to our mission revolves around building and maintaining enduring relationships with our customers, and the only way to achieve that is by bringing together a team of skilled, passionate, and talented individuals.

Job Responsibilities:

• The Senior Data Engineer will lead the Enterprise Data Services team, transforming data from various systems to provide insights and analytics for business stakeholders. You will leverage cloud-based infrastructure to implement scalable, resilient, and efficient technology solutions.
• Collaboration with Data Engineers, Data Analysts, DBAs, cross-functional teams, and business leaders is essential.
• You will architect, design, implement, and operate data engineering solutions using Agile methodology to empower users to make informed business decisions.

Candidate needs to have:

• 4+ years of development experience building and maintaining ETL pipelines
• 3+ years of experience working with database technologies and data development (e.g., Python, PLSQL)
• Experience mentoring junior team members through code reviews and best practices
• Deep understanding of writing test cases to ensure data quality and reliability
• Proven track record of advancing new technologies to improve data quality and reliability
• Continuously improve the quality, efficiency, and scalability of data pipelines
• Expert skills in working with queries/applications, including performance tuning, utilizing indexes, and materialized views to improve query performance
• Identify necessary business rules for extracting data along with functional or technical risks related to data sources (e.g., data latency, frequency)
• Develop initial queries for profiling data, validating analysis, testing assumptions, driving data quality assessment specifications, and defining a path to deployment
• Familiar with best practices for data ingestion and data design

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

• Dice Id: 10524228
• Position Id: 8346974

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