【ベイン・アンド・カンパニー】Senior Data Engineer
仕事内容
https://www.bain.com/ja/careers/find-a-role/position/?jobid=100688
You’ll join our Engineering experts within the AI, Insights & Solutions team. This team is part of Bain’s digital capabilities practice, which includes experts in analytics, engineering, product management, and design. In this multidisciplinary environment, you'll leverage deep technical expertise with business acumen to help clients tackle their most transformative challenges. You’ll work on integrated teams alongside our general consultants and clients to develop data-driven strategies and innovative solutions. Together, we create human-centric solutions that harness the power of data and artificial intelligence to drive competitive advantage for our clients. Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results. We are committed to building a diverse and inclusive team and encourage candidates of all backgrounds to apply. Bain offers comprehensive benefits and flexible policies that are designed to support you, so you can thrive personally and professionally.
応募資格(必須経験など)
Technical Skills and Knowledge:
• Minimum 4 years of experience
• Working knowledge (2+ years) of Python, Scala, C/C++, Java, C#, Go, or similar programming language
• Experience developing data pipelines (Airflow, Beam, Luigy, Metaflow, Kubeflow or any other)
• Experience (2+ years) of SQL or NoSQL databases: Databricks, PostgreSQL, SQL Server, Oracle, MySQL, Redis, MongoDB, Elasticsearch, Hive, HBase, Teradata, Cassandra, Amazon Redshift, Snowflake
• Experience with Cloud platforms and services (AWS, Azure, GCP, etc.) or Kubernetes via Terraform automation
• Experience with DevOps, CI/CD, Github Actions
• Strong computer science fundamentals in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance
• Knowledge of agile development methodologies and principles
• Relevant academic or industry experience in end-to-end data and software engineering within either/or product engineering or professional services organizations, including project setup, test cases, dependency, and build management