Description:

Puzzle is seeking a curious and collaborative Data Engineer / Analytics Consultant with 3–5 years of experience in data engineering, analytics, or business intelligence.
The role involves working closely with clients to implement end-to-end data solutions, including building data pipelines and modeling KPIs.
Responsibilities include designing and implementing data warehouse solutions, ETL/ELT pipelines, and business intelligence tools.
The Data Engineer will develop data models tailored to clients’ KPIs, validate and test data models for accuracy, and support clients’ data environments.
Collaboration on deliverables is essential, whether working independently or as part of a consulting team.
The position operates within a project management framework (Agile/Scrum) to align deliverables with organizational goals.
The Data Engineer will guide clients on optimizing their data stacks for performance, scalability, and cost-efficiency.

Requirements:

Candidates must have 3–5 years of experience in data analytics, data engineering, or business intelligence.
Hands-on experience with Snowflake data warehousing is required.
A preferred first-level Snowflake Certification, or one that is underway, is necessary.
Strong SQL skills are essential, with the ability to write complex queries and perform data transformations.
Experience with Python for scripting and data processing is required.
Familiarity with ETL tools like DBT and FiveTran is preferred.
Experience with AWS or Google Cloud (e.g., Redshift, BigQuery) is necessary.
Proficiency in BI tools such as Looker, Tableau, or Power BI is required.
Candidates must be able to communicate technical concepts to non-technical stakeholders.
Previous experience in a consulting or professional services environment is preferred.
Industry experience in Media & Entertainment or Telecom is a plus.
A Bachelor’s or Master’s degree in a quantitative or technical field (e.g., Statistics, Computer Science, Engineering) is required.
A passion for solving diverse business problems and learning new technologies quickly is essential.

The position offers a competitive salary that matches skills and experience.
It is a full-time remote position.
Paid Time Off is provided to promote work-life balance.
Private health insurance is offered, with a subsidy to cover care.
Salary reviews are conducted every year.
Paid training and certifications are available to support professional development.