This job post is closed and the position is probably filled. Please do not apply.
🤖 Automatically closed by a robot after apply link
was detected as broken.
Description:
Umpisa Inc. is looking for a talented Data Engineer specializing in Google Cloud Platform (GCP) ETL tools to join their team.
The Data Engineer will be responsible for designing, implementing, and maintaining scalable data pipelines and systems using GCP's suite of ETL tools.
The role involves collaborating with cross-functional teams to understand data requirements, optimizing data models and architecture for performance and reliability within GCP, and building data storage solutions on Google Cloud Platform.
The Data Engineer will ensure data quality, integrity, and security across various datasets within GCP, identify and resolve performance bottlenecks, and stay updated with the latest GCP technologies and trends in data engineering.
Requirements:
Minimum of 2 years of experience as a Data Engineer or in a similar role, with a strong focus on Google Cloud Platform.
Proficiency in programming languages such as Python, Java, or Scala.
Strong experience with SQL databases within GCP (MySQL / PostgreSQL).
Hands-on experience with GCP data pipeline and workflow management tools like Cloud Dataflow, Dataprep, or Dataproc.
Expertise in building and optimizing big data solutions within GCP using technologies like BigQuery, Dataflow, Pub/Sub, etc.
Solid understanding of GCP data warehousing concepts and methodologies.
Excellent problem-solving skills and the ability to work in a fast-paced environment within GCP's ecosystem.
Preferred qualifications include Google Cloud certifications, experience with other GCP services beyond ETL tools, and knowledge of machine learning concepts and frameworks within GCP.