5+ years of experience in the field of business intelligence, application development, database development, and ETL and / or data analysis domains with extensive SQL knowledge;
Experience with cloud infrastructure such as AWS, Azure or Google;
Experience in container technologies like Docker / Kubernetes a plus;
Experience in building the data pipelines and workflows from ground up, including defining the exception handling strategies;
Exposure in storing and assembling large complex data sets with various formats such as CSV, JSON, Avro, Parquet;
Hands-on coding and application development experience with programming languages such as Python , Shell, Java or similar scripting languages. Familiarity with R, Scala,Javascriptis a big plus;
Experience with relational SQL and NoSQL databases, ETL tools (e.g., Snaplogic, Alteryx), and BI tools (e.g.,Tableau, Power BI);
Good understanding of REST APIs, data modelling, data warehousing, data lakes, and big-data concepts;
Good understanding of software development lifecycle, including experience in tools like JIRA, GitHub.
Soft Skills :
Ability to translate business requirements and excellent time management skills (manage estimated workload according to scope);
Demonstrated willingness and ability to engage with teams and collectively solve complex problems;
Proactively identify and advocate for improvements to technology and engineering methods;
Effectively communicate business benefits and implications of technology initiatives to non-technical and more senior colleagues.
English : Upper-Intermediate or higher.
We offer :
Flexible working time;
Professional and ambitious team;
Learning opportunities, seminars and conferences and time for exploring new technologies;
Full remote work;
Co-funding for language courses (English).
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