Contract type: employment contract
Salary range: PLN gross/month
What will you do
You will join a modern data platform initiative focused on building scalable data solutions in Google Cloud Platform. The project involves designing robust data pipelines developing data models and ensuring reliable and high-quality data for business decision-making. You will collaborate with cross-functional teams to deliver efficient and maintainable data architecture.
Your tasks:
- Design develop and maintain scalable data pipelines and ETL processes
- Build and manage Apache Airflow DAGs for workflow orchestration
- Develop data processing logic using Python and frameworks like DBT or Spark
- Work with BigQuery and Cloud SQL to store and transform data
- Implement and maintain data architecture and data models
- Ensure data quality integrity and reliability
- Collaborate with business stakeholders to translate requirements into data solutions
- Maintain technical documentation and contribute to data standards
- Support deployment and monitoring of pipelines in GCP environments
- Participate in code reviews and improve engineering best practices
Your skills:
- Strong proficiency in Python for backend or data processing
- Hands-on experience with Google Cloud Platform including BigQuery Cloud Storage Compute Engine or GKE
- Experience with Apache Airflow for workflow orchestration
- Strong experience with ETL and data integration pipelines
- Experience with Spark
- Knowledge of NoSQL databases
- Strong knowledge of relational databases
- Strong understanding of data architecture
- Good understanding of data quality
- Strong understanding of data integration
Nice to have skills:
- Familiarity with Apache Beam
We offer you
- Hybrid work 4 days a month from our clients office (Kraków)
- Working in a highly experienced and dedicated team
- Benefit package that can be tailored to your personal needs (private medical coverage sport & recreation package lunch subsidy life insurance etc.)
- On-line training and certifications fit for career path
- Access to elearning platforms
- Social events
Required Experience:
Senior IC
Employment Type : Full Time
Experience: years
Vacancy: 1