Data Engineer
- Джерело:
- djinni.co
Що робити
- Design and implement a cost-effective analytical warehouse, ingestion pipelines, transformation models and orchestration.
- Integrate MySQL/MongoDB, payments, fraud, email/helpdesk, advertising APIs and quiz/session events; support CDC or incremental loads, retries and safe backfills.
- Own reliable models for subscriptions, revenue, cohorts, LTV, CAC and ROAS; improve Metabase performance and reduce analytical load on production.
- Implement data quality checks, monitoring, reconciliation, documentation, data contracts and access controls.
- Partner with the ML Engineer on reproducible, point-in-time correct training datasets; prevent data leakage and handle delayed labels.
Що очікуємо
- 5+ years in Data Engineering; demonstrated ownership of production pipelines or a data platform.
- Advanced SQL and MySQL optimization; MongoDB/document data modeling; analytical and dimensional modeling.
- Strong Python with pandas or Polars, Parquet; ETL/ELT, incremental processing, idempotency, backfills and recovery.
- Production experience with a data warehouse and an orchestrator (e.g., Airflow, Dagster or Prefect); ability to choose appropriate tools.
- AWS fundamentals, Docker, Git/CI/CD; working familiarity with Kubernetes; pragmatic architectural judgment.
Що пропонуємо
- dbt; Redshift, ClickHouse, Snowflake or BigQuery; CDC/Debezium or Airbyte; subscription billing, marketing attribution and fraud data; Terraform/Helm/Argo CD; Java/Spring familiarity.
- Conditions
- Fully remote setting
- Corporate devices (laptop, power station)
- Unlimited PTO (paid time off) policy
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