Lead Data EngineerJob

Brillio
New York, NY, United States
17 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Working hours
Regular working hours

Tech stack

Adaptable Database Systems Amazon Web Services Data Analysis Data Architecture Data Validation Data Integrity Extract Transform Load (ETL) Data Systems Digital Technology Python (Programming Language) Performance Tuning SQL Databases
+6 more
Tableau (Software) Data Storage Management Cloud Platform System Snowflake Information Technology Data Pipelines

Job description

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as ā€œBrilliansā€, distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction. Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio’s relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to WorkĀ® certification year after year. Senior Lead Data EngineerJob requirements

Analyze business and technical requirements to design, develop, and maintain the Enterprise Analytical Data Store (ADS) using the Snowflake cloud platform.

Develop, implement, and maintain Extract, Transform, and Load (ETL) processes and data pipelines using SQL, Python, and AWS services to support enterprise analytics and reporting.

Design and implement scalable data models and data architectures to enable efficient data storage, retrieval, and integration across business domains, including warehouse operations, transportation, finance, and labor management.

Perform data validation, quality assurance, and performance tuning to ensure data integrity, reliability, and optimal system performance.

Collaborate with business analysts, data scientists, and technical teams to translate analytical and operational requirements into technical specifications and data solutions.

Participate in project planning, design reviews, and implementation activities to ensure compliance with enterprise architecture and security standards.

Requirements

Must have a Master’s degree (or foreign equivalent) in Computer Science, Engineering (any) or related field plus two (2) years of IT experience.

Two (2) years of IT experience must include experience in Snowflake, SQL or Tableau.

In the alternative, we will accept a Bachelor’s degree (or foreign equivalent) in Computer Science, Engineering (any) or related field, plus five (5) years of progressive experience.

Two (2) years of the five (5) years of progressive experience must include experience with Snowflake, SQL or Tableau. We will accept any suitable combination of education, training, or experience.

All experience may be acquired concurrently. Travel and relocation may be required. Standard Corporate Benefits.

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