Golang Job: Senior Data Engineer

Job added on

Company

AccelByte
Canada

Location

Remote Position
(From Everywhere/No Office Location)

Job type

Full-Time

Golang Job Details

At AccelByte, our mission is to empower game creators by providing them with the backend platform and tools required to make scalable, reliable AAA-quality games. The company was founded in 2016 by industry veterans who have engineered online systems for some of the largest game and distribution platforms in the world including Fortnite, Epic Store, Xbox Live, PlayStation Network, and EA Origin. We are backed by top investors including Softbank, Sony Interactive Entertainment, Galaxy Interactive, NetEase, and Krafton. Our latest Series B funding has firmly solidified our place as a top player in the gaming industry. AccelByte’s talent has decades of experience building and shipping some of the largest game and distribution platforms in the world.

We believe that the best companies empower employees to make decisions, obsess about the best user experience, and are not afraid to make and learn from their mistakes. Our culture is based on humility, openness to feedback, drive, and collaboration, which we feel results in the best performing teams. As a company that values diversity, inclusion, and employee growth, our employees have opportunities to work with and learn from teams all over the world. We offer competitive salaries, a full range of health benefits, social activities, career growth opportunities, and an amazing team. Come join us!

Position Summary:

The Senior Data Engineer is responsible for a deep understanding of AccelByte’s platform, system architecture, and integration components. They are responsible for designing, and building data processing pipelines on AWS Cloud. They are also responsible for writing optimal logic for processing and aggregating ingested raw data into insightful metrics/KPIs.

Essential Functions/Responsibilities:

The Senior Data Engineer is accountable for the following functions and responsibilities:

  • Write and maintain optimal transformation logic to generate optimal Data Assets
  • Write optimal data queries for each of the KPIs exposing to the upper layer of services
  • Responsible in designing and building optimal data processing pipelines architecture and infrastructure on AWS
  • Working to improve ETL pipelines
  • Monitoring to detect if and when error or abnormally in data occurred
  • Participating in building and improving data reporting pipeline
  • Work with product managers for cloud cost technical support inquiries from clients
  • Make weekly infrastructure recommendations based on the utilization and new offerings from cloud vendors to fit our platform architecture
  • Generate and deliver monthly cloud cost reports to our clients
  • Provide cloud cost observability into applications and infrastructure through metrics, logging, and monitoring to ensure platform uptime, utilization, and cost-efficiency
  • Participate in cloud capacity planning, and platform load testing and advise the best practices to solve current challenges with cost efficiency
  • Monitor cloud cost anomalies and solve them in a timely manner
  • Deeply understand AccelByte’s platform, system architecture, and integration components
  • Deeply understand AccelByte’s current infrastructure principles and knowledge
  • Create tools for automating cost monitoring, alerting, and reporting
  • Create process and documentation around Cloud Service Provider offerings detailing use cases, best practices, and implementation details with cost efficiency

Qualifications/Experience Required:

  • 3+ years of experience working as an analytics or data engineer
  • Has in-depth knowledge of analytics pipeline & data analytics
  • Experience in designing and building data processing pipelines architecture and infrastructure on AWS
  • Write aggregation logic to process ingest data in data platforms for analytics
  • Advanced SQL skills with experience standardizing queries and building data infrastructure involving large-scale relational datasets
  • Expert in Python to parse, structure, and transform data
  • Experience with databases and datastore such as Postgres, Snowflake, Redshift, S3, AWS Athena, AWS Glue, AWS DynamoDB, AWS Redis
  • Flexibility in working with people coming from different time zones
  • Deep knowledge of cloud service providers and best practices around implementation and configuration, preferably managing AWS and Kubernetes
  • Comfortable programming in languages such as Golang, Python, Bash, etc.
  • Familiarity with infrastructure management and operations lifecycle concepts and ecosystem, deep understanding of IaC and GitOps
  • Experience working independently to design, plan, and execute technical projects
  • Demonstrated deep knowledge of technical program management and engineering best practices
  • Working experience with some of the following technologies and tools: Docker, Kubernetes, git, Redis, MongoDB, PostgreSQL, ElasticSearch, GitLab CI, Nexus, SonarQube, Terraform, Helm, Prometheus, ELK/EFK, Grafana, CloudWatch
  • Solid security best practices
  • Keen problem-solving skills with the ability to work under pressure (during a production event)
  • Previous experience working in the game industry

AccelByte Inc is an Equal Employment Opportunity Employer, all qualified candidates and applicants will receive consideration for employment without regard to race, religion, gender, national origin, sexual orientation, marital status, age, or disability. Our culture is innovative and inclusive, and we value our people the highest.

Please visit our career page for a complete listing of our open positions: https://accelbyte.io/careers

Job Type: Full-time

Benefits:

  • Dental care
  • Disability insurance
  • Employee assistance program
  • Extended health care
  • Life insurance
  • Paid time off
  • RRSP match
  • Vision care
  • Work from home

Schedule:

  • Monday to Friday