Jobs

We are looking for a Data Engineer to join our team!

Data Engineer is responsible for designing, maintaining, and optimizing data infrastructure for data collection, management, transformation, and access.

He/she will be in charge of creating pipelines that convert raw data into usable formats for data scientists and other data consumers to utilize.

Data Engineer should be comfortable working with RDBMS and has a good knowledge of the appropriate RDBMS programming language(s) as well.

The Data Engineer fulfills processing of client data based on proper specification and documentation.

*Ukrainian student in UA (2d year and higher).

Main responsibilities:

- Design and develop ETL pipelines;

- Data integration and cleansing;

- Implement stored procedures and function for data transformations;

- ETL processes performance optimization.

Skills and Requirements:

- Experience with ETL tools (to take charge of the ETL processes and performs tasks connected with data analytics, data science, business intelligence and system architecture skills);

- Database/DBA/Architect background (understanding of data storage requirements and design warehouse architecture, should have the basic expertise with SQL/NoSQL databases and data mapping, the awareness of Hadoop environment);

- Data analysis expertise (data modeling, mapping, and formatting, data analysis basic expertise is required);

- Knowledge of scripting languages (Python is preferable);

- Troubleshooting skills (data processing systems operate with large amounts of data and include multiple structural elements. Data Engineer is responsible for the proper functioning of the system, which requires strong analytical thinking and troubleshooting skills);

- Tableau experience is good to have;

- Software engineering background is good to have;

- Good organizational skills, and task management abilities;

- Effective self-motivator;

- Good communication skills in written and spoken English.

Salary Range

Compensation packages are based on several factors including but not limited to: skill set, depth of experience, certifications, and specific work location.

We seek a Junior Data Engineer with basic pandas and SQL experience.

At Dataforest, we are actively seeking Data Engineers of all experience levels.

If you're ready to take on a challenge and join our team, please send us your resume.

We will review it and discuss potential opportunities with you.

Requirements:

• 6+ months of experience as a Data Engineer

• Experience with SQL ;

• Experience with Python;

Optional skills (as a plus):

• Experience with ETL / ELT pipelines;

• Experience with PySpark;

• Experience with Airflow;

• Experience with Databricks;

Key Responsibilities:

• Apply data processing algorithms;

• Create ETL/ELT pipelines and data management solutions;

• Work with SQL queries for data extraction and analysis;

• Data analysis and application of data processing algorithms to solve business problems;

We offer:

• Onboarding phase with hands-on experience with major DE stack, including Pandas, Kafka, Redis, Cassandra, and Spark

• Opportunity to work with the high-skilled engineering team on challenging projects;

• Interesting projects with new technologies;

• Great networking opportunities with international clients, challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary fixed in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

We seek a Junior Data Engineer with basic pandas and SQL experience.

At Dataforest, we are actively seeking Data Engineers of all experience levels.

If you're ready to take on a challenge and join our team, please send us your resume.

We will review it and discuss potential opportunities with you.

Requirements:

• 6+ months of experience as a Data Engineer

• Experience with SQL ;

• Experience with Python;

Optional skills (as a plus):

• Experience with ETL / ELT pipelines;

• Experience with PySpark;

• Experience with Airflow;

• Experience with Databricks;

Key Responsibilities:

• Apply data processing algorithms;

• Create ETL/ELT pipelines and data management solutions;

• Work with SQL queries for data extraction and analysis;

• Data analysis and application of data processing algorithms to solve business problems;

We offer:

• Onboarding phase with hands-on experience with major DE stack, including Pandas, Kafka, Redis, Cassandra, and Spark

• Opportunity to work with the high-skilled engineering team on challenging projects;

• Interesting projects with new technologies;

• Great networking opportunities with international clients, challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary fixed in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

Привіт! Зараз відкрита вакансії Data Support / Junior Data Engineer на проукраїнський проєкт. 
Компанія: Product IT, NDA. Компанія заснована у 2022 році, має інвестиції. 
Проєкт вже в роботі, зараз потрібна лише підтримка. Тому це може бути гарним стартом для початківця, щоб отримати комерційний досвід в резюме та закріпитись на посаді. 

📌 Що очікуємо від спеціаліста:
— Від 6 місяців комерційного досвіду з Python
— Знання Linux, Pandas, ETL-процесів
— Робота з VSCode
— Досвід з DuckDB
— Elasticsearch — буде плюсом
— Англійська не потрібна. 

Клас завдань (короткий перелік від замовника):
1️⃣ Обробка структурованих та неструктурованих даних.
2️⃣ Агрегація та трансформація даних.
3️⃣ Оптимізація ETL-процесів.
4️⃣ Розширення функціоналу та супровід.
5️⃣ Керування екосистемою Elasticsearch (опціонально).

Опис задач від команди (цитата від розробника):
"Позиція на саппорт розробника. Програмувати не потрібно. Потрібно буде завантажувати бази даних і налаштовувати пошук по них через вебінтерфейс. Загалом інструмент уже працює, потрібно лише його масштабувати."

Умови:
— ЗП ~600$
— Гнучкий графік, відсутність тайм-трекерів
— Невелика команда, адекватні задачі (що дозволить легше адаптуватись до задач, без авралів, гонки та стресів)
— Можливість впливати на розвиток нашої країни, зміцнювати та захищати власним розумом. 

Етапи відбору:
1. Screening-call - 20-30 хвилин.
2. Невелике ТЗ (опціонально).
3. Інтерв’ю з розробником (він один на проєкті) та PM - 30-60 хвилин.
4. Фінал / Offer — коротка розмова з керівником проєкту - 15-20 хвилин.