About this role
<p><span style="font-size:14.0pt"><strong>Contract type:</strong> B2B</span></p> <p><span style="font-size:14.0pt"><strong>Salary range:</strong> 125-163 PLN/h</span></p> <p> </p> <p><span style="font-family:tahoma, arial, helvetica, sans-serif"><strong>What will you do?</strong></span></p> <p> </p> <p><span style="font-family:tahoma, arial, helvetica, sans-serif">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.</span></p> <p> </p> <p><strong><span style="font-family:tahoma, arial, helvetica, sans-serif">Your tasks:</span></strong></p> <p> </p> <ul> <li><span style="font-family:tahoma, arial, helvetica, sans-serif">Design, develop, and maintain scalable data pipelines and ETL processes</span></li> <li><span style="font-family:tahoma, arial, helvetica, sans-serif">Build and manage Apache Airflow DAGs for workflow orchestration</span></li> <li><span style="font-family:tahoma, arial, helvetica, sans-serif">Develop data processing logic using Python and frameworks like DBT or Spark</span></li> <li><span style="font-family:tahoma, arial, helvetica, sans-serif">Work with BigQuery and Cloud SQL to store and transform data</span></li> <li><span style="font-family:tahoma, arial, helvetica, sans-serif">Implement and maintain data architecture and data models</span></li> <li><span style="font-family:tahoma, arial, helvetica, sans-serif">Ensure data quality, integrity, and reliability</span></li> <li><span style="font-family:tahoma, arial, helvetica, sans-serif">Collaborate with business stakeholders to translate requirements into data solutions</span></li> <li><span style="font-family:tahoma, arial, helvetica, sans-serif">Maintain technical documentation and contribute to data standards</span></li> <li><span style="font-family:tahoma, arial, helvetica, sans-serif">Support deployment and monitoring of pipelines in GCP environments</span></li> <li><span style="font-family:tahoma, arial, helvetica, sans-serif">Participate in code reviews and improve engineering best practices</span></li> </ul> <p> </p> <p><strong><span style="font-family:tahoma, arial, helvetica, sans-serif">Requirements:</span></strong></p> <p> </p> <ul> <li><span style="font-family:tahoma, arial, helvetica, sans-serif">Strong proficiency in Python for backend or data processing</span></li> <li><span style="font-family:tahoma, arial, helvetica, sans-serif">Hands-on experience with Google Cloud Platform including BigQuery, Cloud Storage, Compute Engine or GKE</span></li> <li><span style="font-family:tahoma, arial, helvetica, sans-serif">Experience with Apache Airflow for workflow orchestration</span></li> <li><span style="font-family:tahoma, arial, helvetica, sans-serif">Strong experience with ETL and data integration pipelines</span></li> <li><span style="font-family:tahoma, arial, helvetica, sans-serif">Experience with Spark</span></li> <li><span style="font-family:tahoma, arial, helvetica, sans-serif">Knowledge of NoSQL databases</span></li> <li><span style="font-family:tahoma, arial, helvetica, sans-serif">Strong knowledge of relational databases</span></li> <li><span style="font-family:tahoma, arial, helvetica, sans-serif">Strong understanding of data architecture</span></li> <li><span style="font-family:tahoma, arial, helvetica, sans-serif">Good understanding of data quality</span></li> <li><span style="font-family:tahoma, arial, helvetica, sans-serif">Strong understanding of data integration</span></li> <li>Openness to work 2 days a week from our client's office (Kraków)</li> </ul> <p> </p> <p><strong><span style="font-family:tahoma, arial, helvetica, sans-serif">Nice to have skills:</span></strong></p> <p> </p> <ul> <li><span style="font-family:tahoma, arial, helvetica, sans-serif">Familiarity with Apache Beam</span></li> </ul> <p> </p>