SAP Senior Data Engineer

Job Description

Responsibilities: Take end-to-end responsibility to build, optimize and support of existing and new data products towards the defined target vision Be a champion of DevOps mindset and principles and able to manage CI/CD pipelines and terraform as well as Cloud infrastructure, in our context, it is GCP (Google Cloud Platform). To transform data into meaningful insights primarily using DBT and GCP Bigquery Ensure that our built data products work as independent units of deployment and non-functional aspects of the data products follow the defined standards for security, scalability, observability, and performance. Work close to the Product Owner and other stakeholders around vision for existing data products and identifying new data products to support our customer needs Work with product teams within and outside our domain around topics that relate to the data mesh concept. Evaluate and drive continuous improvement and reducing technical debt in the teams Maintain expertise in latest data/analytics and cloud technologies Qualifications Passion for Data, people, and technology At least 8+ years work experience including hands-on as either: Data engineer on modern cloud data platforms /or advanced analytics environments. Software Engineer with cloud technologies and infrastructure Excellent Experience with DBT Experience in different data formats (Avro, Parquet) Experience in data query languages (SQL or similar) Experience in data centric programming using one of more programming languages Python, Java /or Scala. Good understanding of different data modelling techniques and trade-off Knowledge of NoSQL and RDBMS databases Have a collaborative and co-creative mindset with excellent communication skills Motivated to work in an environment that allows you to work and take decisions independently Experience in working with data visualization tools Fluent in English both written and verbal Advantage if you also have: Experience in GCP tools Dataflow, Dataproc and Bigquery Experience in data processing framework Beam, Spark, Hive, Flink Business understanding of retail industry