Job Description

Tasks

Design, build, and maintain data pipelines and reporting systems
Integrate and unify data from multiple sources (API-based ingestion)
Perform data transformation and modeling using SQL
Develop dashboards and automated reports using BI tools
Ensure data quality through validation and monitoring practices
Automate workflows and data processes using Python
Collaborate with internal teams, external partners, and clients
Act as a subject matter expert in data-related topics

Requirements

5+ years of experience in data engineering or similar roles
Strong SQL skills (advanced, complex queries)
Hands-on experience with data visualization tools (e.g. Tableau, Looker, Google Data Studio)
Experience with ETL processes and data pipelines (API ingestion, transformation)
Python for data processing and automation
Experience working with multiple data sources
Strong stakeholder communication skills
Solid understanding of data quality and validation practices
Professional level of EnglishN

Nice to have

Experience with cloud data platforms (BigQuery, Snowflake, Azure)
Familiarity with ETL tools (SSIS, Matillion)
Scripting skills (JavaScript, Google Apps Script)
Experience with digital marketing data
GCP or similar cloud environment exposure

What We Offer / Additional Information

Full-time, long-term opportunity (not project-based)
Flexible start date (ASAP preferred)
Fully remote working model
International environment with global stakeholders
Opportunity to take ownership and act as a subject matter expert
Collaboration across US time zones (flexibility required)
Competitive compensation (to be defined)
Structured interview process including technical and stakeholder discussions

Job Tags

Full time, Immediate start, Remote work, Flexible hours

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