5 дней назад
Data Team Lead (AWS)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Team Lead (AWS): Leading data engineering delivery and translating client requirements into scalable technical solutions with an accent on cloud data services, Apache Spark, SQL, and data modelling. Focus on coordinating engineers, reviewing architectures and code, resolving technical blockers, and driving implementation plans across cross-functional teams.
Location: Armenia, Bulgaria, Cyprus, Georgia, Kazakhstan, Latvia, Poland, Romania, Serbia, or Ukraine
Company
delivers software engineering and technology solutions for clients.
What you will do
- Lead the day-to-day work of the Data Engineering team, including technical direction, planning, prioritization, and delivery.
- Translate client requirements into technical scope, implementation activities, estimates, and delivery plans.
- Contribute to solution design and work with the Data Architect to ensure scalable, practical implementations.
- Coordinate priorities, ownership, dependencies, risks, and progress across the team.
- Review technical solutions, code changes, database changes, and architectural approaches.
- Collaborate with Backend, AI, QA, DevOps, Product, Architecture, and client stakeholders.
Requirements
- Strong experience in data engineering, technical leadership, and delivery coordination.
- Hands-on experience with a major cloud platform, preferably AWS, including batch processing, object storage, relational databases, messaging, containers, and serverless computing.
- Experience with Apache Spark, SQL, relational databases, and data modelling.
- Experience with Git-based development, code reviews, and CI/CD tools such as GitHub Actions or equivalent platforms.
- Experience with web scraping, web parsing, and Master Data Management.
- Ability to evaluate technical proposals, translate client requirements into delivery plans, and proactively resolve blockers.
Nice to have
- Equivalent experience with other cloud platforms and engineering tools.
Culture & Benefits
- Cross-functional collaboration with architects, engineers, product teams, QA, DevOps, AI, and clients.
- Ownership of technical problems from investigation through resolution and validation.
- Clear communication of progress, risks, estimates, and technical decisions to stakeholders.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →
Похожие вакансии
Nitka Technologies, Inc.
9 дней назад
Data Engineer (Spark/AWS)
Nitka Technologies, Inc.
9 дней назад
Data Engineer (Spark)
5 дней назад
Data Architect
Nitka Technologies, Inc.
9 дней назад
Data Engineer (AI)
Nitka Technologies, Inc.
9 дней назад
Data Engineer (AWS/Databricks)
Nitka Technologies, Inc.
9 дней назад