Junior Data Platform Engineer

Seeking a Data Platform Engineer will 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., * 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

We are looking for a junior-level data professional with approximately 3 years of overall experience and a strong foundation in data engineering and analytics support. The ideal candidate will have solid SQL and data warehouse experience, along with at least 1+ year of hands-on experience with Python, Snowflake, Airflow, and ETL processes. This role involves supporting technical team members across the data platform, troubleshooting and resolving issues using SQL and Python, and collaborating closely with engineering and analytics teams., * Bachelor's or master's degree in computer science, Engineering or related field

• 3+ years of overall experience and 3+ 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
• 1+ years of experience with Python and manipulation of various data formats for extraction and transformation
• 1+ 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

6 Month Contract (Potential to convert - W2 Only [No C2C/No Visa or Student Sponsorship])

Hybrid in New York, NY 10007 (2x per week)

Pay up to $51/hr. (No PTO and No Paid Holidays), The estimated pay range for this position is USD $47.00/hr - USD $51.00/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.