Opportunity Description
Responsibilities
- Develop and maintain data ingestion and transformation pipelines
- Work with Lakehouse architectures
- Operate in GCP and Databricks environments
- Design and evolve data structures in BigQuery and Delta Lake
- Support the definition and implementation of dimensional and relational modeling (Star Schema, Snowflake, etc.)
- Ensure data quality, consistency, and security
- Support performance and cloud cost monitoring activities
- Collaborate with business stakeholders and data teams
Requirements
- Experience as a Data Engineer or Analytics Engineer
- Strong SQL skills
- Experience with Python and Spark/PySpark
- Experience with GCP (BigQuery, GCS, Pub/Sub, Dataflow or Dataproc)
- Hands‑on experience with Databricks
- Knowledge of orchestration and pipeline automation (Airflow/Composer)
- Familiarity with CI/CD and source control (Git) ...
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