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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Bain предлагает чётко очерченную staff-позицию в data engineering для собственного продукта с AI-функциями, высокой технической ответственностью и наставничеством; зарплата не указана.
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Большая ответственностьСовременные технологииРабота над продуктомПродукт с AI
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Текст:
Hirify AI/Оригинал
TL;DR
Staff I Data Engineer (AI) (Python/data platforms): Architecting, building, and operating scalable cloud-based data platforms for Coro's AI-accelerated B2B software suite with an accent on Python systems, enterprise ETL/ELT pipelines, data modeling, and platform reliability. Focus on leading complex architecture and development work, improving CI/CD and operational resilience, and mentoring engineers through technically demanding delivery.
Location: Mexico City, New Delhi, or Warsaw
Company
Bain & Company’s Next Generation Software Solutions team builds and operates software products supporting Bain’s intellectual property and consulting solutions. Coro is a proprietary B2B go-to-market software suite providing AI-accelerated data, analytics, and GTM tools.
What you will do
Define Coro’s data-platform architecture with Senior Architects and Engineering Managers, validating trade-offs, scalability, performance, security, and maintainability.
Translate business requirements into technical specifications, author design documentation, and lead development through execution.
Build the most complex platform components and provide advanced support, including ownership of major incidents and post-incident improvements.
Direct deployments, oversee CI/CD and release management, and improve operational reliability, time to market, quality, cost, and uptime.
Lead technical discovery, proofs of concept, innovation initiatives, automation, and tooling improvements.
Mentor engineers, support recruiting and interviews, and collaborate with cloud and infrastructure teams.
Requirements
5–8+ years of experience in senior technical leadership, scalable cloud-based data platforms or software products, Python data systems in production, and leading or mentoring engineering teams across products or work streams.
Bachelor’s degree or an equivalent combination of education, training, and experience.
Deep Python expertise, including typing, concurrency, performance profiling, packaging, and the standard library.
Strong software architecture fundamentals, including system design, API contracts, modular decomposition, and scalability patterns.
Strong SQL, data modeling, governance, privacy practices, and ability to design and validate schemas at scale.
Experience with enterprise-scale ETL/ELT pipelines; Python data tooling such as pandas, Polars, PyArrow, DuckDB, or PySpark.
Experience with workflow orchestration such as Airflow, Dagster, Prefect, dbt, or Temporal; cloud data platforms such as Snowflake, Databricks, BigQuery, or Redshift.
Experience with multiple public clouds—AWS, Azure, or GCP—their Python SDKs, infrastructure as code, Terraform, GitHub Actions, and CI/CD pipeline design.
Ability to communicate architecture and technical trade-offs to executive, business, and engineering audiences; mentor engineers, build engineering culture, navigate ambiguity, and align teams around technical direction.
Nice to have
Streaming experience with Kafka, Kinesis, or Spark Structured Streaming.
Docker, Kubernetes, and cloud-native architecture experience.
Architecture cost optimization and cloud resource management.
A second language such as Go, Rust, Scala, or TypeScript.
Generative AI, machine learning, or data science tooling experience.
Service management and Agile tools such as Azure DevOps or JIRA.
Culture & Benefits
Permanent, full-time employment within Bain’s Technology Solutions Group.
Work within an inclusive environment focused on varied backgrounds, continuous learning, shared ownership, and professional development.
CVs must be submitted in English to be considered.
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