Data engineer

Responsibilities:

- Developing, testing, and maintaining daily pipeline ETL processes for collecting data in the cloud;

- Developing and ensuring ETL processes for data processing;

- Creating tools for operating and monitoring the data platform;

- Creating data models and building a data showcase for Data Analysts and ML Engineers;

- Creating services to handle real-time data via Kafka for subsequent analysis using Azure tools;

- Collaborating with all stakeholders to achieve a deep and clear understanding of requirements.

Must-haves:

- Experience as a Data Engineer for 3+ years;

- Understanding of data processing algorithms and principles;

- Experience with Azure cloud storage solutions;

- Experience with Python, Apache Airflow, and PySpark;

- Experience with Kafka;

- Knowledge of PL SQL or SQL;

- Experience with Azure Databricks and Azure Event Hub;

- Experience in building ETL processes;

- Experience with modern Agile software development and testing methodologies using modern ALM tools, such as GitHub/Azure DevOps;

- Level of English – from Intermediate.

Nice-to-haves:

- Experience with Apache Hive, Apache Impala, Amazon Redshift, Snowflake, PostgreSQL, Greenplum, and Vertica;

- Experience in creating cloud applications based on container platforms, such as Microsoft Azure Kubernetes Services or Lambda Azure Functions;

- Experience in building MLOps and data-driven applications.

Reasons to join us:

- Cooperation with such businesses as Samsung, Johnson & Johnson, Ryanair, Europcar, TUI, Verivox, Media Markt, Shypple, etc. This project is just your beginning here – working with us means reliability and prospects;

- Excellent teams with streamlined processes and an opportunity to change the project. There are also systems of mentoring and adaptation for each new employee;

- Many different ways to grow – you can develop expertise in different business domains and improve as a specialist or a manager. Transparent performance review and assessment systems will allow you to determine your development path and plan your growth;

- Flexible start of the working day: from 7 AM to 11 AM. You can telecommute, work at the office, or opt for a hybrid schedule – whatever is convenient for you;

- Referral programs and an opportunity to additionally earn up to $1,500 per month by participating in the company's activities;

- Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated;

- Such perks as private health insurance, English language courses, and certification compensation (AWS, PMP, etc.).