Data Engineer

5 days ago


Jakarta, Indonesia Virgo Full time

**Day to day Activities**
- Build, deploy and maintain efficient data pipelines and data warehouse that can handle the needs of a rapidly growing data driven company
- Build scalable and reliable ETL pipelines and processes to ingest data from a large number and variety of data sources
- Maintain and optimize the performance of our data infrastructure to ensure accurate, reliable and timely delivery of key insights for decision making
- Participate in technical and product discussions, code reviews, and on-call support activities
**Requirements**:

- A Bachelor's/Master's degree in Computer Science, Mathematics, Information Systems, Computer Engineering, or a related technical field
- Having good understanding in ETL, Data Warehousing Concept (fact, dimension, star schema / snowflake schema, SCD), data infrastructure, Business Intelligence, and development flow
- Having 2 years or more experience with exposure to Big Data, Real-time & Batch data pipelines, ETL processes and supporting tools/framework such as Airflow, etc
- Experience with Cloud technologies such as GCP, Azure, AWS, etc and if having experience with GCP Big Data: Composer, BigQuery, DataFlow, DataProc, Pub/Sub would be advantageous
- Proficient in SQL and experience working with any relational databases (Mysql, Postgres, SQL Server, etc)
- Strong foundation with one or more general programming languages ( preferably in python)
Experience with performance tuning & query optimization of data warehouse
- Experience with CI/CD tools (Gitlab / Github)
- Results and detail-oriented, with strong intuitions on how to solve problems creatively and quickly
- Team player and good communication skills

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