Senior Data Software Engineer with Databricks and Azure

We are looking for a Senior Data Software Engineer to join the SAP Data Engineering CoE, building and scaling data pipelines in Databricks with Py. Spark and Python to deliver data products for ML modeling teams.

Responsibilities

Support a team of data engineers to build pipelines used by MLOps and ML Engineers on ML modeling teams Develop, optimize, and maintain data transformation pipelines in Databricks using Py. Spark Work with data stored in ADLS Gen2 and SAP HANA Data Lake, primarily in Delta/Parquet format Implement and maintain data quality checks, including schema validation, deduplication, enrichment, and tagging Communicate with stakeholders to understand business processes and model input data Tune performance for large-scale datasets to ensure efficient processing Requirements 3+ years of experience in data engineering with proficiency in Python, Py.

Spark, and Databricks Hands-on experience with Delta Lake and Azure data lake technologies Familiarity with software version control tools such as GitHub and Git Experience with CI/CD frameworks such as GitHub Actions Knowledge of data lake technologies and large-scale dataset performance tuning Proficiency in English (B2+) for effective communication with the customer's team Nice to have Familiarity with at least one other programming/scripting language, such as Java, SQL, or Scala