Data Engineer with AWS and Snowflake

Responsibilities:

• Designing and implementing data processing systems using distributed frameworks like Snowflake (this involves writing efficient and scalable code to process, transform, and clean large volumes of structured and unstructured data)
• 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

Requirements:

•  4+ years of professional experience in the Data & Analytics area
• Good knowledge of AWS cloud services (S3, RDS, Redshift, etc.), knowledge of other clouds is an asset
• Very good level knowledge of Snowflake
• Very good level of communication, the ability to clearly and specifically convey information, experience in working with business users
• Experience working in the Agile (Scrum) methodology
• Passion for the Data & Analytics solutions in the Cloud environment
• English at least at B2 level, ideally C1
• Ability to go on Client trips to London (1 per month for 2-3 days)
• Capable of working both independently and in a team-oriented, collaborative, cross-functional and cross-cultural environment

Nice to have:

• Knowledge of DBT 
• Knowledge of Azure 

Offer:

• Private medical care
• Co-financing for the sport card
• Life insurance
• Benefits package
• Training & learning opportunities
• Constant support of dedicated consultant
• Employee referral program