Senior Data Engineer

Miejsce pracy: Kraków Technologies we use Expected Python BigQuery Google Cloud Storage Apache Airflow Optional Google Cloud Platform Kafka Google Dataflow Docker Terraform Google Kubernetes Engine Operating system Windows macOS Your responsibilities Design, build, and deliver customer data ingestion and data warehousing solutions. Implement scalable, repeatable ETL/ELT pipelines following data engineering best practices. Build and maintain data transformation workflows using Python, BigQuery, Google Cloud Storage, Apache Airflow, Kafka, Google Dataflow, Docker, Terraform, and Google Kubernetes Engine. Collaborate with cross-functional teams to design and implement data solutions that meet business requirements. Develop and maintain technical documentation for data pipelines and architectures. Stay up-to-date with industry trends and emerging technologies in the field of data engineering. Your skills Strong understanding of data engineering concepts and principles. Experience with Python, BigQuery, Google Cloud Storage, Apache Airflow, Kafka, Google Dataflow, Docker, Terraform, and Google Kubernetes Engine. Knowledge of data warehousing and ETL/ELT pipelines. Familiarity with operating systems Windows and macOS. Your benefits Competitive salary package. Opportunity to work on challenging projects that drive business results. Collaborative and dynamic work environment. Professional development opportunities. Flexible working hours.