> DOU
senior
Web LegendsData Engineer
format:Remote
sqlpythongopower bietldata warehousingpostgresqlmicrosoft sql serverredshiftmongodb
databricksawsazuregoogle cloud
> full description
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