Opens an external site
- Employment type
- Contract
- Experience level
- Senior · 5+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available
Job summary
Design, build, and optimize batch and real-time data pipelines and scalable, cost-efficient GCP data platforms using tools such as Dataflow, Spark, Pub/Sub, and BigQuery. Lead and mentor a team of 10 data engineers, establish engineering and governance standards, optimize platform performance and costs, and collaborate on analytics and machine-learning solutions.
Job details
Technical Skills: Strong proficiency in SQL, Python, Java/Scala, Spark, and Apache Beam. GCP Expertise: Hands-on experience with BigQuery, Dataflow, Dataproc, Pub/Sub, Composer (Airflow), Cloud Storage, and Terraform. Key Responsibilities Design, build, and optimize batch and real-time data pipelines. Develop ETL/ELT solutions using Dataflow, Spark, Pub/Sub, and BigQuery. Architect scalable and cost-efficient GCP data platforms. Lead and mentor a team of 10 data engineers. Establish coding, CI/CD, monitoring, data quality, and governance standards. Optimize performance, reliability, and GCP costs. Collaborate with architects, data scientists, and analysts on analytics/ML solutions. Nice to Have: GCP Professional Data Engineer certification, Vertex AI, real-time processing, dbt, and multi-cloud experience.
What you’ll do
Design, build, and optimize batch and real-time data pipelines and scalable, cost-efficient GCP data platforms using tools such as Dataflow, Spark, Pub/Sub, and BigQuery. Lead and mentor a team of 10 data engineers, establish engineering and governance standards, optimize platform performance and costs, and collaborate on analytics and machine-learning solutions.
Requirements
Requires strong proficiency in SQL, Python, Java or Scala, Spark, and Apache Beam, along with hands-on experience across GCP data services and Terraform. The role calls for senior-level data engineering capability; a GCP Professional Data Engineer certification, Vertex AI, dbt, real-time processing, and multi-cloud experience are nice to have.
Listed skills
- SQL · Preferred
- CI/CD · Preferred
- Java · Preferred
- Terraform · Preferred
- Python · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- SQL
- Python
- Java
- Scala
- Spark
- Apache Beam
- BigQuery
- Dataflow
- Dataproc
- Pub/Sub
- Composer (Airflow)
- Cloud Storage
- Terraform
- ETL/ELT
- CI/CD
- Data Governance
Job areas
- Data & Analytics
- Technology
- Software
- Management & Leadership
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