Data Engineer (вакансія неактивна)

We are currently seeking a skilled and driven Data engineer.

We believe that you have:

• 5+ years of hands-on data modeling and data engineering experience
• Experience with a Data Warehouse organization and building a centralized repository based on many different data sources is a big plus
• Database design and development experience. Work experience with databases such as Postgres/MS SQL/Redshift/MongoDB will be preferred
• Experience in designing and developing custom ETL pipelines using SQL and scripting languages (Python/ Shell/ Golang/etc.). Proficiency in advanced SQL, performance tuning
• Knowledge of Excel and Power BI for visualization of reports & dashboards
• Familiarity with version control systems, CI/CD practices, testing, and migration tools for databases and software will be a plus
• High level of analytical and problem-solving skills with strong attention to details
• Understanding of data architecture and security aspects with cloud platforms
• At least Upper-intermediate English level.

Will be a plus:

• Experience with Databricks platform will be a huge plus
• Experience with cloud computing platforms (AWS, Azure, GCP) will be a plus
• Experience in setting up of data architecture from the scratch
• Data security architecture understanding

We offer:

• Flexible schedule
• Horizontal management and communication directly with project stakeholders
• 20 days of paid vacation
• Paid sick-leaves
• Annual activities budget — we endorse your wish to self-improvement
• Remote work

Responsibilities

• Build a data warehouse to house data from various sources and Web APIs
• Develop and maintain ETL processes to populate the data warehouse
• Identify data requirements, work with multi-functional teams to collect required data from external systems, and work with software engineering
• Develop and maintain PowerBI dashboards to visualize data sets
• Database performance analysis, write high performance, low-cost SQL queries, providing easy-to-use datasets
• Develop AI data interaction for different business domains
• Support existing data architecture on cloud platforms