H

Эксперт Data Инженер (Python)

Контроль и поддержка потоков и моделей данных реляционного/нереаляционного DWH

Halyk Bank На сервисе с: 07.10.26 21:51

Зарплата не указанаКазахстанАстана
Основные обязанности: Контроль и поддержка потоков и моделей данных реляционного/нереаляционного DWH
Принятие решения по методу и инструменту для оптимального достижения цели DWH
Предоставление рекомендаций по повышению производительности системы/потоков данных/модели данных и повышению качества данных
Анализ ошибок и создание надежных и простых процессов обработки данных Основные требования: Продвинутое знание SQL, опыт работы с реляционными базами данных (Oracle, Greenplum)
Опыт работы с платформами больших данных (Hadoop, Hive, Apache Spark)
Обширный опыт работы с ETL процессами (Airflow, Python, Informatica PC, Informatica DEI)
Знание основ распределенных систем
Аналитические навыки, знание структур данных и алгоритмов
Знание английского языка на уровне достаточном для чтения технической документации Условия: •Заработная плата и бонусы: конкурентоспособная оплата труда благодаря системе грейдирования, премии ко Дню Независимости и годовой бонус.
•Социальный пакет: ДМС и страхование жизни, мобильная связь и скидки от партнеров.
•Отпуск и отдых: 26 дней отпуска с возможностью взять дополнительные дни при наступлении важных событий.
•Бонусы за рекомендации.
•Рабочие условия: льготные условия на паркинг, свободный стиль одежды (smart casual).
•Обучение и развитие: тренинги, вебинары и доступ к корпоративной библиотеке, четкая система карьерного роста.
•Корпоративная культура: открытая и дружеская рабочая атмосфера, спортивные турниры и активная корпоративная жизнь.
•Инициативы и проекты: возможность участия в социальных проектах, реализация идей в новых проектах группы «Halyk» с использованием современных digital-инструментов.
•Команда: творческая и поддерживающая команда для реализации ваших идей.
Присоединяйтесь к нам и становитесь частью команды «Halyk»!

Похожие вакансии Data Engineer

Сайты компаний
tradingview

Senior Data Platform Engineer

tradingviewНа сервисе с: 07.10.26 23:37
Зарплата не указанаКипрГрузияТбилисиГибрид

TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries.

We build tools that help traders and investors make informed decisions — from advanced charting and market data to collaboration and publishing features. Our products are used daily by millions of individuals and trusted by companies like Revolut, Binance, and CME Group.

We’re continuing to grow and scale our platform, and we’re looking for people who care about product quality, take ownership of their work, and want to build systems used by a global audience.

About the team

We are building a Reference Data Management platform and looking for a strong data engineer to help shape it. This is a build role rather than a maintenance one. You will work on top of existing services and gradually turn them into a clean, transparent platform, and your decisions will shape its foundational design.

Responsibilities
  • Optimize the current platform and turn existing pipelines into transparent, controlled processes

  • Build new components and data processing pipelines

  • Develop and maintain self-service tools for developers, analysts, stewards, and domain owners, so that connecting new data no longer depends on engineers

  • Implement data quality checks and make them available for teams to use and extend

  • Implement golden record determination mechanisms for reference data

  • Take part in hiring as the team grows

What makes you the perfect fit
  • 4 to 6 years of experience as a Data Engineer

  • Strong Python. This is the main language of the platform

  • SQL fluency, including query profiling and optimization

  • Deep hands-on experience with at least one batch orchestration tool such as Airflow, Dagster, Prefect, or Kestra

  • Hands-on experience with dbt

  • Hands-on experience with data quality tools such as great expectations, soda, or similar

  • Experience with OLTP and OLAP databases such as Postgres and ClickHouse

  • Experience with data lake or lakehouse and time travel

We care about depth more than the exact tool. If your strongest experience is with something close to the tools above, you will pick up ours quickly.

Will be a plus

  • Experience owning a key component of a mature data platform

What we offer you
  • Flexible working hours and a hybrid work format

  • Well-equipped offices for focused and collaborative work

  • A global, distributed team of 500+ professionals

  • Learning, mentorship, and long-term career growth

  • Relocation support and private health insurance

  • Performance-based bonuses

  • TradingView Premium access

  • Regular team events and company-wide meetups

Join the TradingView team and help us build a product used by millions of traders and investors worldwide. We look forward to hearing from you!

TradingView is an equal opportunity employer. We embrace diversity and are dedicated to fostering a diverse and inclusive workplace. Our success is driven by 600+ professionals from 40+ countries who speak nearly 20 languages. 


Сайты компаний
L

Senior Analytics Engineer

LightspeedНа сервисе с: 07.10.26 17:33
Зарплата не указанаКанадаТоронтоУдалёнка

Hi there! Thanks for stopping by 👋

Lightspeed's Data Office is hiring a Senior Analytics Engineer to design and own the data models that drive decisions across financial performance, GTM activities, and product insights. You'll partner with stakeholders across Finance, Revenue Ops, Marketing, and Product to deliver the analytics foundation the business runs on.

If you are someone who enjoys building data pipelines that power real business decisions and want to design canonical models that unify fragmented source systems across multiple CRMs, ERPs, and product platforms, then this role is for you. You can sit down with Finance to talk revenue recognition or with Product to map activation funnels, and walk away with a clear data model in your head. You hold a high bar on quality, push back constructively when it matters, and don't wait to be handed a well-defined problem. You scope the work, drive it to completion, and bring others along.

What you’ll be responsible for:

  • Design and build the data models that power the business: financial reporting (GTV, MRR, revenue recognition), GTM analytics, and product and operational insights

  • Design for scale and maintainability while staying pragmatic, shipping incremental value, gathering feedback, and iterating as you go

  • Turn ambiguous business requirements from Finance, Revenue Ops, Marketing, and Product teams into well-scoped technical solutions with effort estimates

  • Collaborate across our Hub & Spoke architecture, partnering with upstream data owner teams, downstream Looker/LookML developers, and other domain pods (Retail, Hospo, Operations) to design models that work end-to-end

  • Treat documentation as a first-class deliverable: column descriptions, model contracts, and architectural notes that power both human reviewers and AI/LLM-assisted workflows

  • Diagnose root problems, not symptoms, and drive systemic fixes rather than one-off patches

  • Own pipeline health end-to-end: monitor proactively, lead incident response, and surface risks before they become delivery problems

  • Autonomously manage personal sprint commitments and contribute to team-level planning, including task breakdown, effort estimation, and priority sequencing

  • Mentor junior engineers through coaching, code reviews, and technical sessions, and set the bar for what good looks like

What you will bring to the team:

  • Expert-level SQL: query performance, clean, maintainable code, and advanced analytical techniques (e.g. window functions)

  • Proven experience designing enterprise-grade dimensional models on modern cloud data warehouses such as BigQuery or Snowflake, including partitioning, incremental patterns, and performance optimization

  • Hands-on experience modelling SaaS / CRM / ERP source systems such as Salesforce or NetSuite, with a clear understanding of how their object models translate into clean dimensional schemas

  • Proven Dataform or dbt expertise in production: materializations, incremental strategies, snapshots, and macros

  • You communicate effectively with technical and non-technical stakeholders, clarifying needs, surfacing tradeoffs, and driving alignment

  • A security and compliance mindset: GDPR, SOX, and data access controls are part of the job, not an afterthought

Some additional things that would be a bonus:

  • CI/CD experience (e.g. GitHub Actions): automated testing, linting, and deployment workflows

  • Python or JavaScript for data engineering tooling

  • LookML or equivalent semantic layer experience

  • Familiarity with data contracts for pipeline validation

  • Experience using AI/LLM-assisted tooling to accelerate development workflows: code generation, documentation, debugging, or review

  • Revenue/finance domain knowledge (ARR, MRR, NetSuite, revenue arrangements)

What’s in it for you:

  • Real ownership: you'll own canonical data models that leadership relies on, with the autonomy to design them properly and the influence to evolve team standards

  • A modern, well-maintained stack (Dataform, BigQuery, Looker, GitHub Actions, OpenCode) with active investment in developer experience and tooling

  • High-quality peers who care about craft, code reviews that make you better, and time to do things the right way

  • Direct line of sight to business impact: your work powers conversations with the CFO, GTM leadership, and Product teams

  • A growing Data Office at a publicly traded company headquartered in Montreal

Be a changemaker, You’ll enjoy:

  • A flexible work environment that empowers you to do your best work

  • A culture that celebrates performance

  • The chance to make an impact in a team that’s big enough for career growth, but lean enough to make your voice heard

  • Career-defining opportunities

Plus benefits designed to keep you happy, healthy and fulfilled.

  • Flexible paid time off and remote work policies

  • Equity options, because this is your company too

  • Contributions to your pension plan. Your future matters

  • Training opportunities to grow your skills and career

  • Health and wellness credit so you feel your best

  • Time off to volunteer and give back to your community

  • Interest groups, employee-led networks, social committees to sponsored sports teams

  • Computer purchase program to get your personal MacBook

  • Enhanced parental leave to support growing families

  • Lightspeed equity scheme (we are all owners)

  • Unlimited paid time off policy

  • People Experience - Our PX benefit allows you to work from pretty much anywhere in the world for 60 days a year

  • Health insurance: Immediate access to health, dental, vision, and life insurance for you and your eligible dependents.

  • Employer RRSP contribution of up to 4% of base salary to a maximum of $5,000

  • Health and wellness benefit of $500 per year

  • Employee Technology Purchase Program: Ability to an interest-free loan to purchase certain Apple products

  • Paid leave and assistance for new parents

  • Mental health online platform and counselling & coaching services

  • Volunteer day

  • We got you covered! A variety of snacks, coffee, and teas are always accessible and available in the office kitchen - Tuesday: Pancakes, Wednesday: Lunch is served, and Thursday is Happy Hour with a variety of drinks and snacks.

Fuel your growth. Find your people.

At Lightspeed, your growth is our priority. We invest in you with continuous learning opportunities, global mobility and benefits designed to support you—all within a driven, diverse and inclusive team that’s passionate about empowering our communities.

Please note that we ask applicants to disclose any criminal convictions, and we conduct criminal record checks as part of our hiring process for this role.

At Lightspeed, we carefully consider a wide range of factors when determining compensation, including your skill set, qualifications, experience, and market data. These considerations can cause your compensation to vary. We reasonably expect the total compensation for this position to be in the range of $115,000TO $135,000 CAD. Lightspeed also provides a variety of employee benefits including, but not limited to, medical, dental, wellness, life and disability insurance, RRSP plan and match, paid parental leave top-up, and paid time off.

Please note that this compensation information is solely for candidates hired to perform work within Ontario (update to BC if posted in Vancouver) and reflects the amount Lightspeed is willing to pay at the time of this posting. This role represents an existing vacancy at Lightspeed. Lightspeed uses artificial intelligence–enabled tools to support certain aspects of the recruitment process; all hiring decisions are made by our recruiting and hiring teams.

To all recruitment agencies: Lightspeed does not accept unsolicited agency resumes. If we have not directly engaged your company in writing to supply candidates for a specific vacancy, Lightspeed will not be responsible for any fees related to unsolicited resumes.

Lightspeed is a proud equal opportunity employer and we are committed to creating an inclusive and barrier-free workplace. Lightspeed welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

Where to from here?

Obviously, this has to be mutually beneficial: we want you to step into a role you love, and we want to offer you a place you’re proud to come to every day. For a glimpse into our world check out our career page here.

Lightspeed is building communities through commerce, and we need people from all backgrounds and lived experiences to do that. We were founded in 2005, in Montreal’s gay village and our original members were all part of the LGBTQ+ community. The ethos of our business has been about inclusion from the very beginning, and we strive to provide a workplace where everyone belongs.

Who we are:

Powering the businesses that are the backbone of the global economy, Lightspeed's one-stop commerce platform helps merchants innovate to simplify, scale, and provide exceptional customer experiences. Our cloud commerce solution transforms and unifies online and physical operations, multichannel sales, expansion to new locations, global payments, financial solutions, and connection to supplier networks.

Founded in Montréal, Canada in 2005, Lightspeed is dual-listed on the New York Stock Exchange (NYSE: LSPD) and Toronto Stock Exchange (TSX: LSPD). With teams across North America, Europe, and Asia Pacific, the company serves retail, hospitality, and golf businesses in over 100 countries.

Lightspeed handles your information in accordance with our Applicant Privacy Statement.

 
Соц.сети
redlab

Senior Data инженер

redlabНа сервисе с: 07.10.26 16:21
350k–380k ₽РоссияБеларусьУдалёнка

Добрый день, я хочу разместить вакансию, текст:

Senior
Data инженер

Компания: RedLab
Локация: РФ, РБ
Гражданство: РФ, РБ
Опыт: больше 5-ти лет
Формат работы: удаленно
Занятость: Полная/проектная
ЗП: 350 000 - 380 000 RUB (гросс)
Ссылка на вакансию: ••••••••

Требования:
• Опыт работы Data Engineer от 5 лет.
• Знание методологии Data Vault 2.0
• Уверенные знания Python/Scala/Java для разработки ETL/ELT-процессов и сервисов обработки данных.
• Отличное знание SQL, опыт оптимизации сложных запросов и работы с большими объемами данных.
• Опыт проектирования и разработки промышленного Data Warehouse, Data Lake или Lakehouse решений.
• Практический опыт работы с Apache Spark.
• Опыт работы с Apache Airflow, Apache Kafka
• Опыт работы с системами потоковой обработки данных
• Опыт работы с распределенными файловыми системами и форматами хранения данных: HDFS, Parquet, Avro;
• Опыт работы с экосистемой Hadoop/Apache Iceberg или современными платформами хранения и обработки данных.
• Опыт работы с реляционными СУБД (PostgreSQL, Oracle, Clickhouse, Greenplum).
• Уверенное владение Git и понимание процессов CI/CD.
• Опыт работы с системами управления задачами и документацией (Jira, Confluence или аналоги).
• Понимание принципов построения отказоустойчивых и масштабируемых решений.
• Опыт использования dbt для построения трансформационных слоев данных.
• Практика внедрения Data Quality решений (Great Expectations, Soda и др.).
• Опыт работы с Data Catalog и Data Governance инструментами.

Задачи на проекте:
• Проектирование, разработка и сопровождение масштабируемых решений по интеграции, обработке и хранению данных в корпоративной платформе данных.
• Разработка и оптимизация batch- и streaming-пайплайнов для загрузки, трансформации и публикации данных.
• Разработка ETL/ELT-процессов с использованием современных инструментов обработки данных.
• Проектирование моделей данных для аналитических и операционных сценариев.
• Оптимизация производительности процессов обработки данных и SQL-запросов.
• Обеспечение качества данных: реализация механизмов валидации, мониторинга и контроля полноты данных.
• Участие в проектировании архитектуры платформы данных и выборе технологических решений.
• Внедрение и развитие практик DataOps и CI/CD для процессов обработки данных.
• Подготовка технической документации и архитектурных артефактов.
• Проведение код-ревью, техническое менторство и участие в развитии команды.

HireSeeker собирает вакансии со всех площадок и присылает только релевантные. Бесплатно.