Senior Data Software Engineer with Databricks and Azure

We are looking for a Senior Data Software Engineer to join the Data Engineering CoE, building and scaling data pipelines in Databricks with Py. Spark and Python to deliver data products for the client's stakeholders.

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 (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 Requirements 3+ years of experience in data engineering or a related field Proficiency in Python, Py.

Spark, and Databricks, including Delta Lake 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 Experience working with MS Azure English proficiency at B2 level or higher Nice to have Familiarity with at least one other programming or scripting language, such as Java, SQL, or Scala