Data Engineer - Azure

• Building data pipelines to ingest data from various sources such as databases, APIs, or streaming platforms
• Integrating and transforming data to ensure its compatibility with the target data model or format
• Designing and optimizing data storage architectures, including data lakes, data warehouses, or distributed file systems
• Implementing techniques like partitioning, compression, or indexing to optimize data storage and retrieval
• Identifying and resolving bottlenecks, tuning queries, and implementing caching strategies to enhance data retrieval speed and overall system efficiency
• Designing and implementing data models that support efficient data storage, retrieval, and analysis
• Collaborating with data scientists and analysts to understand their requirements and provide them with well-structured and optimized data for analysis and modeling purposes
• Collaborating with cross-functional teams including data scientists, analysts, and business stakeholders to understand their requirements and provide technical solutions
• Communicating complex technical concepts to non-technical stakeholders in a clear and concise manner
• Independence and responsibility for delivering a solution
• Ability to work under Agile and Scrum development methodologies
• Train and mentor junior data engineers, providing guidance and knowledge transfer
• Designing and implementing data processing systems on Azure platform
• This involves writing efficient and scalable code to process, transform, and clean large volumes of structured and unstructured data

• 4-6 years of professional experience in a similar role
• Very good level of communication including ability to convey information clearly and specifically to co-workers and business stakeholders
• Working experience in the agile methodologies – supporting tools (JIRA, Azure DevOps)
• Independence and responsibility in delivering solutions
• Ability to work under agile methodologies
• Hands-on experience in designing and optimizing of data storage (data lakes, data warehouses, distributed file systems)

Experience or familiarity with other cloud technologies, data warehouses, data governance, and business analysis is a plus

• Stable employment
• Medical Insurance
• Grocery Coupons
• Saving fund
• 30 days of Christmas bonus
• Remote work bonus
• Profit sharing
• 50% vacation premium
• 100% remote
• Flexibility regarding working hours
• Comprehensive online onboarding program with a “Buddy” from day 1
• Cooperation with top-tier engineers and experts
• Unlimited access to the Udemy learning platform from day 1
• Certificate training programs
• Upskilling support
• Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly
• Grow as we grow as a company
• A diverse, inclusive, and values-driven community
• Autonomy to choose the way you work
• Create our community together
• Refer your friends to receive bonuses
• Activities to support your well-being and health
• Plenty of opportunities to donate to charities and support the environment