Senior Big Data Engineer, BI
Bnei Brak, Tel Aviv District, IL
Rakuten Viber
Why do some people wait to reply to your text, and should you read into it? We decided to investigate the true meaning of text message response times.Description
Rakuten Viber is one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and to be part of the journey that makes us a super-app. Our mission is to make people’s lives easier by enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions.
As a Senior Big Data Engineer on our BI team, you'll build and scale the data infrastructure that powers our business insights. You'll design and implement robust data pipelines to process billions of daily records, leveraging cutting-edge cloud technologies and visualization platforms to transform data into actionable intelligence.
If you’re passionate about data engineering and driving business growth through insights, we’d love to hear from you!
Responsibilities
- Design, Build, and operate scalable infrastructure for optimal data extraction, transformation, and loading from a wide variety of data sources, utilizing SQL, cloud migration tools, and Big Data technologies.
- Work with a variety of programming languages, systems, frameworks, and cloud technologies, including Python, DBT, Airflow, AWS, Linux, Spark, and more.
- Collaborate with customers and internal stakeholders to resolve data-related technical issues and support their data infrastructure and business needs.
- Implement data validation, monitoring, and governance practices to ensure data accuracy, consistency, and security.
Requirements
- 5+ years of hands-on experience in building scalable automatic data pipelines in a Big Data environment (several terabytes per day) – preferably in the mobile apps market.
- Proficiency in ELTs using SQL, DBT, and Python.
- Experience in data visualization tools (Tableau/Looker/Mixpanel/Thoughtspot), cloud providers (AWS/GCP/Azure), orchestration tools (e.g, Airflow), Big Data frameworks (Spark), and Iceberg.
Advantages
NoneSkills
None* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow AWS Azure Big Data Data pipelines Data visualization dbt Engineering GCP Linux Looker Pipelines Python Security Spark SQL Tableau
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