Senior Data Engineer (Python)

We are looking for experienced engineers that are willing to solve complex technical issues while developing high quality software systems using modern technologies.

Responsibilities:

• Develop, maintain, and optimise ETL processes for data extraction, transformation, and loading
• Create and manage data models and data warehousing solutions
• Write and maintain structured queries as well as content scraping projects
• Utilise programming languages like Python, SQL for data processing tasks
• Enablement of integration of apps / services and connecting to internal and third-party APIs
• Collaborate with cross-functional teams to ensure seamless integration of data processes
• Optimise data pipelines for performance and efficiency.
• Work closely with data scientists and analysts to support their data needs.
• Build pipelines to transform raw, unstructured data into useful information by leveraging AI and LLMs

Requirements:

• Proven experience in data engineering and proficient in designing and implementing scalable data architectures.
• Strong experience with ETL processes, data modelling, and data warehousing (we use airflow, dbt and redshift)
• Experience implementing and maintaining event driven pipelines in production
• Expertise in database technologies, both relational (SQL) and NoSQL.
• Knowledge of cloud platforms (AWS)
• Solid understanding of data security measures and compliance standards.
• Excellent Python experience
• Collaborative skills to work closely with data scientists and analysts
• Ability to optimize data pipelines for performance and efficiency
• Ability to build, test and maintain tasks and projects
• xperience with version control systems, like Git

It would be nice if you had:

• Experience working in Agile environment using SCRUM/Kanban
• Hands-on experience working within a DevOps environment

We can offer:

• Projects for such clients as PayPal, Wargaming, Xerox, Philips, adidas and Toyota
• Competitive compensation that depends on your qualification and skills
• Career development system with clear skill qualifications
• Options to work remotely
• Compensation for medical expenses
• English courses online
• Corporate parties and events for employees and their children
• Internal conferences, workshops and meetups for learning and experience sharing
• Gym membership compensation, corporate sport competitions (cybersport included)
• 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate