Media Data Engineer (Databricks)

Procter & Gamble is a global company producing recognized brands such as Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, and Tampax®. The company operates in approximately 70 countries worldwide.

• Strong proficiency in PySpark for data processing and analysis.
• Hands-on experience with Databricks including cluster management, notebook development, and job scheduling.
• Advanced proficiency in SQL for complex data manipulation and performance tuning.
• Hands-on experience and strong understanding of Google Cloud Platform services relevant to data engineering (e.g., BigQuery, Cloud Storage, Dataflow, Pub/Sub).
• Experience designing, implementing, and optimizing data pipelines and ETL/ELT processes using PySpark, Databricks, and GCP.
• Familiarity with data modeling, data warehousing concepts, and dimensional modeling techniques.
• Understanding of data integration patterns, data lake architectures, and data quality best practices.
• Experience working with or integrating data from social media platforms such as TikTok, YouTube, and Instagram is highly desirable.
• Experience with Databricks Workflow management and orchestration of data pipelines (e.g., Airflow on GCP) is a significant advantage.

• Design and develop high-quality code within Databricks using PySpark notebooks and SQL to process media campaign data.
• Utilize AI tools like GitHub Copilot and internal tools to enhance productivity.
• Assemble and prepare large, complex datasets from social media sources for analytics.
• Collaborate with data asset managers, architects, and development leads to ensure technical solutions align with architectural blueprints.
• Contribute to and leverage established coding standards and best practices.
• Collaborate with front-end teams to ensure seamless data delivery and integration.
• Apply sound development practices and adhere to architectural designs on Google Cloud Platform.
• Identify and define infrastructure initiatives to reduce technical debt.
• Deliver data engineering projects as part of a Scrum team following agile methodologies.
• Provide L3 support for existing data processes, analyzing bugs and incidents.
• Identify, design, and implement continuous internal process improvements.
• Stay updated on industry trends, emerging technologies, and best practices in data engineering and media analytics.

Employment is exclusively extended on the basis of an "Umowa o Pracę" (Full-time Employment Contract). Apply only if you agree to these conditions.