Data Engineer @ Idego Group Sp. z o.o.
3 weeks ago
- Minimum of 3 years of experience working with clients.
- Proven knowledge of technologies/tools related to data warehousing (e.g., Snowflake, BigQuery, Apache Spark, DBT) and analytics in Azure in recent years.
- Familiarity with methodologies for creating analytical solutions.
- Experience with tools for data design and analysis (e.g., Python/R, Power BI/Tableau, SQL).
- Knowledge of analytical procedures and their applications.
- Fluency in English is required. (At least C1)
For our client in the public sector in Finland, we are seeking an experienced Data Engineer with a strong background in data warehousing, analytics technologies, and client collaboration.
,[Designing and creating database schemas and data structures to support efficient data processing and storage in systems., Developing and implementing data modeling processes that meet the client's needs and ensure data storage optimization and performance., Integrating various data sources with internal and external systems using ETL tools and technologies., Developing processes to extract, transform, and load data into data warehouses or other data storage systems., Creating and managing data warehouses, including designing data structures that support analytics and reporting., Optimizing SQL query performance and ensuring the integrity and consistency of data stored in data warehouses., Developing applications and scripts that support data processing and analysis using programming technologies , Implementing processes to automate and streamline data flow within the organization., Using cloud tools and services (e.g., Azure Data Factory, Azure Synapse Analytics, Azure SQL Database) to store, process, and integrate data., Monitoring the performance of ETL processes and database queries, identifying bottlenecks, and optimizing processes to ensure efficiency., Participating in client meetings to understand their data requirements and deliver solutions that meet their needs., Preparing technical documentation and reports on implemented solutions and data processing results.] Requirements: Azure, Python, Snowflake, BigQuery, Power Query/Power BI, SQL, R, dbt Tools: Jira, Trello, Github, Agile, Scrum. Additionally: Sport subscription, Private healthcare, International projects.-
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