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Job details:
Experience
- 5+ years of experience in data engineering or related roles
- Proven experience with ETL/ELT pipeline development
- Experience with cloud data platform (GCP)
- Experience with big data technologies
Technical Skills
- Programming Languages: Python, SQL, Golang (preferred)
- Databases: PostgreSQL, MySQL, Redis
- Big Data Tools: Apache Spark, Apache Kafka, Apache Airflow, DBT, Dataform
- Cloud Platforms: GCP (BigQuery, Dataflow, Cloud run, Cloud SQL, Cloud Storage, Pub/Sub, App Engine, Compute Engine etc.)
- Data Warehousing: Google BigQuery
- Data Visualization: Superset, Looker, Metabase, Tableau
- Version Control: Git, GitHub
- Containerization: Docker
Soft Skills
- Strong problem-solving and analytical thinking
- Excellent communication and collaboration skills
- Ability to work independently and in team environments
- Strong attention to detail and data quality
- Continuous learning mindset
Preferred Qualifications
Additional Experience
- Experience with real-time data processing and streaming
- Knowledge of machine learning pipelines and MLOps
- Experience with data governance and data catalog tools
- Familiarity with business intelligence tools (Tableau, Power BI, Looker, etc.)
- Experience using AI-powered tools (such as Cursor, Claude, Copilot, ChatGPT, Gemini, etc.) to accelerate coding, automate tasks, or assist in system design ( We belive run with machine, not against machine )
Interview Process
1. Initial Screening: Phone/video call with HR
2. Technical Interview: Deep dive into data engineering concepts
3. Final Interview: Discussion with senior leadership
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