Data Engineer
2 weeks ago
Requirements
- 5+ years of experience in data engineering or a related backend/data-heavy roleStrong SQL skills and deep understanding of query performance tuning
- Proficient in Groovy or Python for scripting and automation
- Hands-on experience with PostgreSQL, MySQL, and MongoDB at scale
- Experience working with or building for a data warehouse (e.g., Redshift, Trino, PostgreSQL)
- Comfortable working in cloud (AWS) and/or on-prem environments
- Experience building and operating production data systems and pipelines
- Strong problem-solving skills and a bias toward ownership and action
- Ability to debug across systems and connect the dots in complex data flows
Nice to Have
- Experience with Apache NiFi, Airflow, or custom orchestrators
- Exposure to data mining, anomaly detection, or pattern recognition techniques
- Familiarity with warehouse modeling concepts (fact/dim tables, reporting views)
- Experience with tools like Trino, AWS Athena, Metabase, or similar query/BI platforms
- Familiarity with observability practices (monitoring, alerting, logging)
- Exposure to streaming systems (Kafka, Spark, Flink)
- Experience supporting compliance or finance-focused data workflows
- Comfort working in containerized setups (Docker/Kubernetes)
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