Summary
We are seeking an experienced Data Engineer to design, build, and operate scalable data systems supporting a global media and entertainment organization. This role will develop automated data pipelines, architect analytical infrastructure, and deliver high-impact reporting and forecasting solutions used by finance and business stakeholders.
Success in this position requires strong data modeling expertise, advanced data engineering skills, and the ability to translate complex operational and financial datasets into scalable, well-architected solutions. The ideal candidate can balance hands-on development with strategic thinking, operating independently within a fast-paced environment.
Duration: 12 months
Schedule: Monday–Friday, 40 hours/week (on-site only)
Reason for Opening: Parental leave coverage
Potential for Extension/Conversion: Yes
Key Responsibilities
- Architect and develop end-to-end scalable data applications and automated data pipelines.
- Build reporting solutions across modern visualization platforms (e.g., Quicksight).
- Establish efficient, repeatable processes for analytics, dashboards, reporting, and model development.
- Query, program, and analyze large datasets using SQL and Python.
- Build and maintain data infrastructure, including compute, storage, and big-data services (EC2, RDS, Redshift, EMR, etc.).
- Partner with cross-functional teams to extract, transform, validate, and load data from diverse sources.
- Participate in data strategy discussions, contributing to data warehouse design, architectural decisions, and long-term roadmap planning.
- Support the buildout of financial systems and transformation of operational and financial data feeds.
Top 3 Must-Have Skills (stack-ranked)
- Designing & Building Reporting Solutions
- Expertise creating scalable analytics and visualization frameworks (e.g., Quicksight).
- Building & Managing Cloud Data Infrastructure
- Hands-on experience with AWS services such as EC2, RDS, Redshift, and EMR.
- Advanced SQL & Python for Large-Scale Data Processing
- Ability to query, transform, and analyze large datasets efficiently.
Candidate Requirements
- Leadership principle demonstrated: Deep Dive and Ownership.
- Technical Requirements:
- Strong experience with AWS platforms (Redshift, EC2, RDS, EMR).
- Advanced SQL and Python proficiency.
- Experience designing scalable reporting and visualization solutions.
- Experience: 3+ years of data engineering or related technical experience.
- Education: Degree in Data Engineering, Computer Engineering, or related field.
- Disqualifiers: Limited or no experience in core AWS data tools.
- Ideal Candidate: Demonstrated success building data platforms and automating complex data flows.
- Performance Indicators: Quality of work delivered, timeliness of code implementation, reliability of reporting infrastructure.
