Senior/Principal Data Engineer
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Job Description
Senior Data Engineer designing scalable data infrastructure for AI-driven SaaS platform. Collaborating on building robust data solutions for analytics, business intelligence, and AI features.
Responsibilities:
- Design and implement a scalable data warehouse or data lakehouse to support analytics, reporting, and business KPIs
- Develop and maintain reliable batch and/or streaming data pipelines from internal databases and external systems
- Collaborate with stakeholders to translate business requirements into efficient data models and schemas
- Establish and maintain data modeling standards and best practices
- Implement monitoring, data quality controls, and observability for all data workflows
- Provide well‑structured datasets to enable self‑service analytics for BI and data teams
- Document the data platform, including lineage, definitions, and contracts, to create a shared source of truth for metrics
Requirements:
- 6+ years of experience in data engineering
- Strong programming skills in Python
- Proven track record of designing and delivering early‑stage data platforms from concept (v1) to production
- Strong expertise with modern data tooling (e.g., Snowflake/BigQuery/Redshift, dbt, Airflow/Dagster/Prefect, Fivetran/Airbyte, etc.)
- Solid understanding of data modeling, ETL/ELT, and pipeline optimization
- Strong knowledge of data quality, testing, and monitoring best practices
- Upper‑Intermediate English or higher WILL BE A PLUS
- Experience with AI/ML data pipelines
- Familiarity with finance/accounting datasets
- Knowledge of compliance frameworks such as SOX or GDPR
- Experience mentoring junior engineers
Benefits:
- Employees can work remotely
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