Software Engineer, Data Platform - Sendbird

Data Platform team is a team that focuses on providing the platforms and tools needed to ingest meaningful data from different teams, analyze data, and build metrics and dashboards from them. Data Platform focuses on providing the right data for Sendbird to make business decisions and for Sendbird's business customers to understand and analyze their usage of our products.

• Lead designing of distributed, high-volume data pipelines that power Sendbird analytics and products 
• Support data warehousing of a variety of different datasets at scale 
• Build production services using open-source technologies such as Airflow, Beam, Spark, AWS cloud infrastructure such as MSK, EKS, Lambda, Aurora, S3, Athena, and also GCP services such as BigQuery, Dataflow, GCS 
• Develop data processing platform and tools for data collection, discovery, and analytics in Python, Java, Scala, Go and define workflows and processes in testing, validation, monitoring and so forth
• Implement measures for data security and governance, such as sanitization of sensitive data
• Collaborate with other teams and work cross-functionally for large-scale data related product initiatives
• Propose solutions to team and organization's development processes and technical problems and drive them into action

Who you are

• Have working knowledge of distributed processing, highly scalable data stores, and developing and maintaining large variety of datasets
• Fluency in several programming languages such as Python, Java, or Scala
• Strong analytic skills related to data models and conducting SQL 
• Drive cross-team multi-phase projects and works efficiently with engineers to execute and deliver result
• Understand the need and enhance data quality and reliability
• Can navigate through ambiguity/blockers, consult the right stakeholders and can execute on optimal solution given resource and time constraints
• Continuously seeks to improve the team’s system, coding standards, and contributes to new ideas and approaches
• Embrace responsibility and learnings from failures to prevent them in the future 

Preferred skills

• 4+ years of work experience in data engineering and/or building ETL pipelines in production
• Work experience in AWS and/or GCP data pipeline ecosystem
• Familiar with Airflow, Kubernetes, Kafka, Spark, Beam, Elasticsearch
• Understanding of RDBMS, NoSQL and distributed databases
• English proficiency for business collaboration
• Strong communication and collaboration skills

Our KR benefits include (but are not limited to)

• Silicon Valley's equity program (1-year cliff) 
• Remote work policy, flexible work hours
• Be Your Best Self: 3.9 million won (prorated by start date) for expenses ranging from professional development classes and training, to personality assessments, to gym memberships, to books, to fitness classes, to mental health services, to massages
• Support for home office set up such as motion desks, chairs, monitors, and AirPods 
• Learn a Language benefit - up to 3.6 million won per year towards language lessons 
• Weekly office lunch
• Monthly team building cost
• Partial support for commuting costs
• Free parking at the Seolleung office
• Group insurance support that covers employees, spouses, and children
• Medical checkup support, including MRI and genetic testing - for the employee and one family member
• Seven additional paid holidays in addition to annual leave (Boost leave, Birthday leave, etc.)
• Support for the latest work devices, such as MacBook Pro (special support options for each job position)
• Unlimited snack bar filled with snacks, beverages, and instant noodles every day
• 12-week paid parental leave support (available for both mothers and fathers)
• Other support programs for congratulations and condolences