Працювати системним інженер в Запоріжжі

Qualifications & Experience:

• Bachelor’s degree or equivalent work experience
• 7+ Years of Experience working with databases (SQL, PL/SQL or any other equivalent) and good understanding of RDBMS concepts
• Knowledge on concepts and experience writing SQL and ETL code with the ability to analyze, diagnose, and tune for scale and performance.
• Knowledge on ETL tools like Talend and job schedulers like Tidal
• Strong Azure platform skills with DevOps, Data Factory, Databricks, Spark, Scala, Azure API Platforms, Azure Synapse
• Working experience Using Frameworks like; Platforms and Data Governance tools
• Good communication skills with ability to articulate the technical and functional aspects of a development/production problem to help drive solutions with App Dev teams and senior stakeholders

Additional Qualifications:

• Experience in the Financial Service Industry: Capital markets/Private Equity, securities processing
• Experience working in Agile or SAFe (scaled agile) using GIT Version Control
• Programming experience using SQL, PL/SQL, on windows/Linux server
• Experience with one of the following Scripting languages: Shell script, JavaScript or Python etc

Soft Skills:

• Strong critical thinking and problem-solving skills and a desire to take initiative
• Detail-oriented drive to investigate and dissect information with a strong focus on quality
• Excellent oral and written communication skills are mandatory
• Good interpersonal and communication skills; works well in a team environment

We offer:

• Friendly professional staff and warm atmosphere;
• The environment where you can implement your ideas;
• Plans for growth and performance review;
• Flexible schedule and opportunities to work remotely (8 hours workday);
• Paid 18 days of vacation and up to 10 sick leaves annually;
• Medical insurance after the trial period;
• English courses;
• Participation in educational activities and thematic conferences;
• Attending professional conferences, summits, workshops, and seminars (70% of the cost offset by the company);
• Team parties and corporate events.

Проект:

Тригерний рівень (FOP) передача та керування тригерами в комунікаційній групі (е2е)

Що ви будете робити:

Співпраця з Data експертами та аналітиками для покращення функіональності нашої системи даних
Проектування та використання тестової інфраструктури для оптимального вилучення, перетворення та завантаження даних із різноманітних джерел даних за допомогою технологій великих даних SQL та AWS (DevOps та безперервна інтеграція)
Збирати великі комплекти даних, які відповідають функціональним/не функіональним вимогам бізнесу
Інтегрувати дані з різних джерел і технологій в інфраструктуру Data Lake, частини agile delivery team
Відстежувати можливості та реагувати на незаплановані переривання, гарантуючи, що середовища надаються та завантажуються вчасно
Необхідні знання та досвід:

3+ років досвіду на посаді Data Engineer
Досвід роботи з великими структурованими і не структурованими даними в різних форматах
Знання або досвід роботи зі структурами потокових даних і розподіленими архітектурами даних (напр. Spark Structured Streaming, Apache Beam or Apache Flink)
Досвід роботи з хмарними технологіями (бажано AWS, Azure)
Досвід роботи зі стеком Big Data: Hadoop, HDFS, Hive, Presto, Kafka
Досвід роботи з Python в контексті сторення в конвеєрі даних ETL
Досвід роботи з рішеннями Data Lake / Data Warehouse (AWS S3 / Minio)
Досвід роботи з Apache Airflow
Навички розробки в середовищі Docker / Kubernetes
Відкритість та командний гравець, комунікативні навички
бажання працювати в гнучкому середовищі
Ми пропонуємо:

Досвід роботи у великому системному міжнародному бізнесі: робота у великій міжнародній компанії, яка створює різноманітне та інклюзивне середовище для професійного та особистого розвитку співробітників. Потужна спільнота Raiffeisen Bank International, яка складається з високопрофесійних та успішних команд з різних країн.

Круті WOW-проєкти: участь у масштабних проєктах з розробки банківських продуктів, використовуючи передові технології та підходи, які дозволять нашим клієнтам отримувати найкращий, найзручніший сервіс.

Зручний та безпечний формат роботи: гнучкі умови, можливість працювати віддалено або у гібридній моделі (дистанційно та в офісі). Для виконання своїх обов’язків можна використовувати офіси із безперебійним живленням та наявними бомбосховищами.

Професійний розвиток: ​​обмін знаннями з колегами з-за кордону, розвиток всередині компанії, підвищення кваліфікації та перекваліфікація, участь у внутрішніх відборах. Можливість отримання t-shaped експертизи. Навчання внутрішнє та зовнішнє. Корпоративні курси англійської мови. Тренінги soft skills у нашій корпоративній академії. Командоутворюючі заходи та участь у соціальних проектах.

Соціальний пакет та програма Wellbeing : 28 днів оплачуваної основної відпустки та додаткові відпустки, медичне страхування, офіційне працевлаштування. Турбота про ментальне та фізичне здоров’я: індивідуальні психологічні сесії та групові лекції, безкоштовні спортивні онлайн-заняття.

Стабільний дохід: конкурентоспроможна зарплата та бонуси за ваш особистий внесок, винагороди за участь у реферальній програмі.

Candidate Must Have:
✔️ Minimum 3+ years of commercial experience in Spark with Python;
✔️ Upper- intermediate English, written/spoken;
✔️ Strong overall knowledge of Data Engineering design and development principles;
✔️ Experience in building ETL / data warehouse transformation processes;
✔️ Direct, hands-on experience (preferably 3+ years) with building data pipelines leveraging technologies including: Apache Spark, Databricks, Airflow, SQL;
✔️ Comfortable working with various datastores and highly familiar with AWS functionality as a whole, including S3, RDS, Athena, Cloudwatch, Batch;
✔️ Humility. Strong learning mentality. Be open to learning new things;
✔️ History of communicating effectively with multiple stakeholders;
✔️ Demonstrated attention to detail and effective use of written communication.

Bonus Skills:
✔️Experience in healthcare data.

Why is this a special opportunity?
You will be joining a small existing Ukrainian team of Python developers whilst working closely with the US management. A great chance to improve English communication skills, learn more about the US business culture and be part of a fast-growing Scaleup that is writing history.
The team is very friendly, open to new ideas and inclusive.

Responsibilities:
✔️ Design, implement, maintain, and optimize data ingestion pipelines from multiple sources;
✔️ Recommend and implement best practices regarding how to add and maintain mappings as part of the project, in collaboration with the team;
✔️ Identify, recommend, and implement opportunities for data QA throughout the pipeline.

What We Offer:
✔️ Competitive salary based on experience and skills;
✔️ The opportunity to work with a modern technology stack and build innovative products long term (no bench time, no project switching!).
✔️ Plenty of opportunities for learning and continued career growth;
✔️ A great values-based company culture valuing general well-being;
✔️ Flexible working: total remote;
✔️ 20 days of paid annual leave; up to 10 days of paid sick leave (including 1 mental health day) per year;
✔️ Western business management and the opportunity to speak English daily;
✔️ Corporate events, merchandise, perks and general wellbeing.
✔️ Laptop (mac or Microsoft)

We are a company that is based on the values of integrity, kindness, honesty and respect.

Thank you for considering a career with us!

PROJECT
Proptech is the domain-to-be due to the intensive growth and application of the latest technologies, such as data engineering, ML/AI, augmented reality, etc. Startups in this niche have vast investments and resources to bring any creative initiatives to life.

As a Data Engineer, you will be building a high-performing Data Platform (across multiple internal and external asset lifecycle products and services). The Platform will help to drive the scale and maturity of mass market investment within the UK real estate and maximize profits thanks to price forecasting, in-depth analysis of historical data and recommendations for upgrade of properties’ facilities to improve the ROI.

The main challenges would be to lead the technical design of data platform features, take over the development of the most complex functionalities, and set strategic objectives for improvement of the data platform in cooperation with the VP of Engineering and Head of Data. Senior Data Engineer’s job would be to act as a major contributor to the selection of tools and technical solutions for the data platform.

REQUIREMENTS
At least 5 years in Python software development and data engineering
Experience in designing data platforms from scratch or improving existing platforms, making well-grounded decisions to select the best-suited technical stack
Profound experience with AWS services with a focus on data processing
Experience of building and setting up Amazon EMR (especially using Spark and Hive), Amazon ECS and ECR services is a must
Experience with data modeling, data access, and data storage techniques
Experience with ETL, building pipelines out of complex and high-volume datasets
Agile mindset and fondness for Scrum processes
At least Upper-Intermediate level of English

PERSONAL PROFILE
Strong communication skills, easy-going attitude, critical thinking, and problem-solving
Pro-active attitude and facilitation of improvements in team cooperation and development processes

RESPONSIBILITIES
Drive the design and development of the data platform enabling BI reporting, self-service analytics, and a modern data science capability with automation capabilities
Develop and launch new features to satisfy business needs, take over the most complex functionalities, considering dependencies on other products
Be an active and engaged owner of data infrastructure, create and support EMR in Amazon to utilize data warehousing
Build data pipelines, ETL processes, optimize performance of complex data sets
Support Serverless architecture with an emphasis on security, observability, reliability, and high performance of the products
Collaborate with Data, Product, and Engineering teams to iterate on the roadmap
Comply with the best engineering practices, technical standards, and quality criteria set forth on the project, including unit and integration testing
Promote the culture of knowledge sharing in the team

If you are a highly skilled software engineer experienced in solving complex algorithmic and engineering (preferably data) challenges, with a strong knowledge of a wide range of technologies and solutions as a Senior Data Engineer, and someone who thrives in a cross-functional and fast-paced environment - continue reading :)
You will:
- Design and implement our high-scale and data-intensive platform
- Participate in the most significant projects in the company
- Research and implement algorithmic solutions
- Be a part of a heterogeneous team of backend and data engineers
You are:
Autodidact. You love challenges, and you are highly motivated
Think before you code - “Good software design and architecture come from the whiteboard and not from the keyboard".
Ambitious. You are eager to make an impact and lead by example. You want to grow, you thrive in a fast-moving, dynamic, growth environment and can operate at the strategic level and the micro-detail to get things right
Independent. You pick things up quickly and can execute independently from ideation to implementation
Results-driven. You have a can-do approach, and drive to exceed your goals
Data-oriented. You like analyzing and working with data
Organized. You can manage highly interdependent, multifaceted projects and keep various work streams on track - even those with many moving parts.
A team player. You collaborate with team and cross-team members to achieve your goals.
Qualifications:
- Computer science/ Software engineering degree - must
- 4+ years experience as a Data Engineer or 3+ years as a Backend developer - must
- At least 3 years of proven experience with Python - must
- Hands-on experience with a wide range of data-related technologies like Kafka/Airflow/Databricks, and different SQL/ NoSQL database solutions - must
- Experience with Spark - strong advantage
We offer:
- flexible working arrangements;
- medical insurance;
- autonomous team structure with a lot of freedom and ownership;
- opportunities to own development from start to finish;
- opportunities to speak with clients and the development team only in English
- paid vacations and sick leaves.

About the project:
Our new client is an independent, privately owned company with North American headquarters in Summit, NJ, and regional offices across Europe and Asia who providing custom configuration, implementation and integration services to ensure your solution delivers optimal enterprise value.

Their solutions are used by the world’s leading financial institutions to make smarter investment research, portfolio construction and optimization, performance analysis, risk surveillance, distribution and reporting decisions.

Planned team: PM, Senior FE Dev, Data Engineer, Senior QA Engineer

Tech stack: FE — React.js, BE — Java, C#, PHP, Perl. DB — MySQl, Postgres.

Requirements:
- Practical knowledge of data quality management principles, practices, metrics and tools
- Programming proficiency (Python, Perl, other scripting languages)
- Proficiency in SQL (MySQL, SQL Server, Postgres, Oracle)
- Windows and Linux OS environment
- Excellent verbal and written communication skills, including ability to effectively communicate complex information and influence diverse internal constituents/senior management.
- Analytical skills with the ability to collect, organize, analyze, interpret and disseminate significant amounts of information with attention to detail and accuracy.

Will be a plus:
- Deep knowledge of financial data such as: mutual funds, market index data, hedge Funds ( Private Equity data a plus)
- Exposure to CI/CD development environment is a plus (i.e., GitLab, GitHub)

Responsibilities:
- Develop deep understanding of MPI Stylus platform, its clients, and their data requirements
- Take over complete vendor data management life-cycle
- Understand the landscape of available data sources
- Perform detailed data analysis
- Manage changes and resolve problems
- Collaborate with data partners and clients to improve information quality
- Continuously deliver accurate, complete, and timely data
- Envision, plan and implement new data products

We offer:
- Work-life balance
- Education & self-development possibilities
- Flexible working conditions
- Fully remote
- Friendly and professional team
- Medical insurance package
- Interview stages: usually it’s a short call with the recruiter, up to 20 min + tech interview with our team + final offer call (30-60 min). We always share the feedback, no matter what results it keeps.
- Providing all the necessary staff that you need for a productive workday. You can work from your lovely laptop or you can ask us for the working one.

Candidate Must Have:
✔️ Minimum 3+ years of commercial experience in Spark with Python;
✔️ Upper- intermediate English, written/spoken;
✔️ Strong overall knowledge of Data Engineering design and development principles;
✔️ Experience in building ETL / data warehouse transformation processes;
✔️ Direct, hands-on experience (preferably 3+ years) with building data pipelines leveraging technologies including: Apache Spark, Databricks, Airflow, SQL;
✔️ Comfortable working with various datastores and highly familiar with AWS functionality as a whole, including S3, RDS, Athena, Cloudwatch, Batch;
✔️ Humility. Strong learning mentality. Be open to learning new things;
✔️ History of communicating effectively with multiple stakeholders;
✔️ Demonstrated attention to detail and effective use of written communication.

Bonus Skills:
✔️Experience in healthcare data;

Why is this a special opportunity?
You will be joining a small existing Ukrainian team of Python developers whilst working closely with the US management. A great chance to improve English communication skills, learn more about the US business culture and be part of a fast-growing Scaleup that is writing history.
The team is very friendly, open to new ideas and inclusive.

Responsibilities:
✔️ Design, implement, maintain, and optimize data ingestion pipelines from multiple sources;
✔️ Recommend and implement best practices regarding how to add and maintain mappings as part of the project, in collaboration with the team;
✔️ Identify, recommend, and implement opportunities for data QA throughout the pipeline.

What We Offer:
✔️ Competitive salary based on experience and skills;
✔️ The opportunity to work with a modern technology stack and build innovative products long term (no bench time, no project switching!).
✔️ Plenty of opportunities for learning and continued career growth;
✔️ A great values-based company culture valuing general well-being;
✔️ Flexible working: total remote;
✔️ 20 days of paid annual leave; up to 10 days of paid sick leave (including 1 mental health day) per year;
✔️ Western business management and the opportunity to speak English daily;
✔️ Corporate events, merchandise, perks and general wellbeing.
✔️ Laptop (mac or Microsoft)

We are a company that is based on the values of integrity, kindness, honesty and respect.

Thank you for considering a career with us!