Job Description
Data Engineer with 2+ years of experience in data processing and ETL processes, proficient in Python and SQL. Build scalable data solutions, manage data infrastructure, integrate with external data sources, and optimize workloads. Knowledge of BigQuery, Snowflake, Redshift, Cloud technologies, Airflow, and DBT is a plus.
Good To Have:
- Google BigQuery
- Cloud Technology
- Airflow/Luigi
- DBT Experience
Must Have:
- Data Engineering
- Python Experience
- ETL Processes
- SQL Proficiency
Description
Moon Active is one of the world's fastest-growing mobile game companies, providing entertainment to millions of active users across the universe. The company is headquartered in the heart of Tel Aviv.
We're looking for a talented and experienced Data Engineer to work on our massive data processing and help us deliver more insights from our tens of billions of events.
Responsibilities
- Design, Develop and implement robust and scalable data solutions to support and improve data processes
- Data Infrastructure management - build, maintain, architecture design (deployment, git, clusters, connection, docker, airflow)
- Integrate with various of external data sources through APIs and implement end-to-end data pipelines & ETLs
- Optimize workloads to reduce cost and improve performance
- Own the data – Understand the data behavior include business knowledge, methodology and architecture
- Evaluate, Implement and support new BI technologies
Requirements
- 2+ years of experience as a Data Engineering
- 2+ years of experience with Python
- 2+ years of experience with ETL Processes
- Proficient in SQL
- Fast learner, team player, independent with a positive attitude and passion for data
Advantages
- Experience with Google BigQuery/Snowflake/Redshift
- Experience with Cloud technology
- Experience with workflow managers such as Airflow/Luigi
- Experience with DBT
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