Remote Middle/Senior Data Engineer (Social Shopping Platform)

Description:

• We are seeking a motivated and self-driven individual to join our dynamic team as a Middle/Senior Data Engineer.
• The role involves contributing to new technology investigations and complex solution design, supporting a culture of innovation with a focus on security, scalability, and reliability, particularly in building out ETL processes.
• The candidate will work with a modern data stack, creating well-designed technical solutions and robust code while implementing data governance processes.
• Professional communication with the customer’s team is essential.
• The individual will take responsibility for delivering major solution features and participate in the requirements gathering and clarification process.
• Proposing optimal architecture strategies and leading the data architecture implementation is a key responsibility.
• The role includes developing core modules and functions, designing scalable and cost-effective solutions, and performing code reviews while writing unit and integration tests.
• The candidate will also be responsible for scaling the distributed system and infrastructure and building a data platform using the power of AWS cloud provider.

Requirements:

• The candidate must have 3+ years of strong experience with Python as a programming language for data pipelines and related tools.
• A proven strong track record of building data platforms and managing infrastructure for Airflow and Databricks is required.
• Familiarity and understanding of distributed data processing with Spark for data pipeline optimization and monitoring workloads is necessary.
• The candidate should have a proven strong track record of building data transformations using data build tools.
• Excellent implementation of data modeling and data warehousing best practices is essential.
• Good written and spoken English communication skills are required.
• Familiarity with software engineering best practices, including testing, PRs, Git, code reviews, code design, and releasing, is necessary.
• A proven strong track record of building data platforms and managing infrastructure for Airflow and Databricks is reiterated as a requirement.

WOULD BE A PLUS

• A strong Data Domain background, understanding how data engineers, data scientists, analytics engineers, and analysts work, would be beneficial.
• Experience with DAGs and orchestration tools is a plus.
• Experience in developing event-driven data pipelines would also be advantageous.

Benefits:

• Employees have the flexibility to work remotely.
• The company promotes a culture of freedom and independence in decision-making.
• There is an emphasis on understanding clients' requests and identifying the root of problems, fostering professional growth.
• The opportunity to work with a community-powered fashion marketplace that values sustainable fashion and personal style.
• The role offers the chance to be part of a dynamic team that is a driving force in data development in Ukraine.