Description:

Minimum 5 years of IT experience, with at least 3.5 years working with data in AWS cloud (confirmed by commercial projects implemented in production).
Commercial experience in processing large data using Databricks.
Commercial experience in processing large data using JSON.
Proficiency in using the Pandas library.
Advanced SQL skills and utilization in MS technological solutions and beyond.
Proficient in Git and CI/CD methodologies.
Design and optimize data processing solutions (ETL, ELT, etc.) following a technical project and alternative solution approaches.
Proficient in Python programming.
Familiarity with AWS technologies such as Glue, Athena, DynamoDB.
Experience with agile practices and tools used in software development processes, including Azure DevOps.
Knowledge of secure data storage and processing mechanisms in the cloud.
Understanding of migrating on-premise solutions to the cloud and basic migration types.
Intermediate level of proficiency in English (minimum B2).

Requirements:

Responsibility for all solutions co-created with the team.
Developing or modifying data processing solutions in the cloud.
Creating and modifying documentation.
Analyzing and optimizing solutions within an operational or planned system.
Analyzing client requirements to deliver optimal business solutions.
Identifying potential threats.
Adapting solutions to meet business requirements.
Analyzing needs and source data (analyzing how CRM data can be used for customer interactions).
Developing new plugins (creating new plugins or extensions that optimize assessment and prioritization within the CRM system).
Testing new plugins.
Developing artificial intelligence and machine learning models and integrating them.

Hourly rate: 125 – 198 PLN net + VAT (B2B).
Data Solutions job offer.
Technologies: SQL, AWS, Glue, Athena, DynamoDB, Databricks, Python, JSON, Git, Pandas.