- Experience: 2 years in data engineering with a strong focus on data pipeline orchestration, including at least 1-2 years using Apache Airflow.
- Proficiency in developing and managing DAGs (Directed Acyclic Graphs) using Apache Airflow.
- Understanding/has experience in Talend Studio, Talent Data Integration, Talent Components and Talent Cloud for ETL.
- Familiarity with relational databases like MySQL, PostgreSQL, or Oracle, and cloud-based data solutions (e.g., AWS Redshift, Google BigQuery).
- Knowledge of version control systems (e.g., Git).
- Understanding of Python programming and shell scripting for creating efficient ETL processes.
- Strong understanding of scheduling, monitoring, and managing data workflows and pipeline performance.
- Ability to build and maintain scalable and reliable data pipelines that integrate with various systems and data sources.
- Experience with cloud environments and containerization tools like Docker.
- Have experience and able to work and manage Cloudera data platform
- Have experience and able to create DWH (fact dim), and datamart, cube.
- Excellent communication and teamwork skills.
BINAR Academy aims to unlock and channel human potential so we can help the world turn into a better place. One of the ways we strive to do that is to channel potential talents to impactful opportunities using our very own job connector, BINAR Job Connect.
Binar Job Connect has connected up to 250 talents & candidates; whether it be young & aspirational fresh graduate to tech-savvy team leaders, individuals who decided to start from scratch, and junior engineers to skilled product managers to our experienced hiring partners. Binar Job Connect provides various options of employment, as we intend that everyone processed by us can choose the best career track for them.
