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Data Platform Engineer

New York, NY, US • Posted 5 hours ago • Updated 5 hours ago

Full Time

On-site

USD $55.00 - 65.00 per hour

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Job Details

Skills

Marketing
Sales
Finance
Amazon Web Services
Microsoft Azure
ProVision
Microsoft Power BI
Continuous Integration
Continuous Delivery
SAFE
SLA
Provisioning
Scrum
ROOT
Issue Resolution
Computer Science
SQL
Dimensional Modeling
Performance Tuning
Python
Extraction
Extract
Transform
Load
Data Warehouse
Snow Flake Schema
Amazon Redshift
Big Data
Apache Hadoop
Apache Hive
Apache Spark
Apache Kafka
Amazon Kinesis
Recruiting

Summary

This is hybrid 2 - 3 days a week onsite in NYC.

W2 only as this may transition to FTE.

Seeking a Data Platform Engineer to be part of an innovative Enterprise data team that enables Marketing, Product, Sales, and Finance to explore data and take actions that differentiate us from our competition. You will work closely with data engineers, data architects, domain experts and business analysts to understand business requirements and help to build best in class data platform solutions and architecture for scale.
Responsibilities:

You will work closely with data engineers, data architects, domain experts and business analysts to understand business requirements and help to build best in class data platform solutions and architecture for scale.
Build and automate modern data platforms (AWS, AZURE, Snowflake) with native technologies, deploy applications, and provision of infrastructure.
Perform Administration, Maintenance and provide support to production systems (Snowflake, Fivetran, DBT, Power BI, Airflow)
Build and maintain CI/CD pipelines and infrastructure as code (IaC) practice across the platform for safe and reproducible deployments.
Design, build and implement automation framework for scale that deliver data with measurable quality under the SLA
Drive technical conversations with stakeholders to understand the platform's needs and come up with a provisioning strategy.
Work effectively using scrum with multiple team members to deliver value effectively.
Reduce technical debt over time with root cause identification, issue resolution and promote best practices across the platform

Experience and Qualifications

Bachelor's or master's degree in computer science, Engineering or related field
5+ years of overall experience and 5+ years of experience with very large-scale data warehouse projects.
Strong experience in SQL, knowledge of dimensional modeling, supporting data warehouse, scaling, optimizing and performance tuning ETL pipelines
3+ years of experience with Python and manipulation of various data formats for extraction and transformation
3+ years of experience with Snowflake, Airflow, ETL/Integration tools administration.
Hands-on experience with Data Warehouse technologies (Snowflake, Redshift) and Big Data technologies (Hadoop, Hive, Spark, Kafka, Kinesis)
Experience evaluating new tools and enriching existing architecture
You are a self-starter, hands-on technical expert who continuously gather and synthesize high-impact needs from business partners, design and implement the appropriate technical platform solution, and effectively communicate about deliverables, timelines and tradeoffs

The estimated pay range for this position is USD $55.00/hr - USD $65.00/hr. Exact compensation and offers of employment are dependent on job-related knowledge, skills, experience, licenses or certifications, and location. We also offer comprehensive benefits. The Talent Acquisition Partner can share more details about compensation or benefits for the role during the interview process.

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: milestn
Position Id: b7fb3f3172f0a328a16909ed8d013c08
Posted 5 hours ago

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