Found Description
Job Summary (List Format):
- Design, build, and operationalize large-scale enterprise data solutions using Google Cloud Platform (GCP) services (at least four among Dataflow, Dataproc, Pub/Sub, BigQuery, Cloud Functions, Composer, GCS).
- Demonstrate hands-on programming experience with Spark/Scala and Python/Java.
- Build production-level ETL/ELT data pipelines, managing processes from data ingestion to consumption.
- Apply data engineering concepts, including Data Lake, Data Warehouse, Redshift, Hive, Snowflake integration, and data migration.
- Communicate effectively, both written and verbal, in formal and informal settings.
- Use software version control tools such as Git, Bitbucket, or CodeCommit.
- Exhibit a flexible, proactive, and self-motivated work style with strong personal ownership of problem resolution.
- Ability to multitask under pressure and work independently with minimal supervision.
- Work collabo...
- Design, build, and operationalize large-scale enterprise data solutions using Google Cloud Platform (GCP) services (at least four among Dataflow, Dataproc, Pub/Sub, BigQuery, Cloud Functions, Composer, GCS).
- Demonstrate hands-on programming experience with Spark/Scala and Python/Java.
- Build production-level ETL/ELT data pipelines, managing processes from data ingestion to consumption.
- Apply data engineering concepts, including Data Lake, Data Warehouse, Redshift, Hive, Snowflake integration, and data migration.
- Communicate effectively, both written and verbal, in formal and informal settings.
- Use software version control tools such as Git, Bitbucket, or CodeCommit.
- Exhibit a flexible, proactive, and self-motivated work style with strong personal ownership of problem resolution.
- Ability to multitask under pressure and work independently with minimal supervision.
- Work collabo...