Required skills (must have)

● Databricks: excellent knowledge of the platform (Spark, Delta Lake, MLflow).

● Data Governance: experience in defining and applying governance policies, lineage, cataloging, and metadata management.

● Data Quality: implementation of quality controls (e.g., Great Expectations or equivalent).

● Programming languages: advanced SQL, Python (pyspark, pandas).

● Orchestration & Big Data: Apache Airflow, Spark, Kafka.

● Cloud: experience with Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Dataproc); knowledge of AWS/Azure is a plus.

● CI/CD & DevOps: Git, GitHub/GitLab CI, Terraform. Preferred skills (nice to have)

● Certifications: Databricks Data Engineer Associate/Professional, Google Professional Data Engineer.

● Knowledge of Data Lakehouse and/or Data Mesh architectures.

● Experience in Master Data Management (MDM) projects. Required soft skills

● Ability to work in regulated environments (compliance, GDPR).

● Strong documentation mindset (lineage, data dictionary, standards).

● Effective communication with both business and IT stakeholders.

● Precision, reliability, and an analytical approach.

للتقديم الان