
Data Engineer for Large-Scale Data Platforms
1 day ago
As a senior data engineer, you will be responsible for designing and implementing large-scale data platforms on Google Cloud.
This is a critical role that involves working closely with cross-functional teams to deliver high-quality solutions.
Key Responsibilities:- Data Pipeline Design: Design robust data pipelines for ingestion, transformation, and analytics using industry-leading tools and technologies.
- Big Data Tools Expertise: Work with Big Data tools such as Hadoop, Spark, Kafka, Databricks, and Airflow.
- Programming Skills: Programming/scripting with Python, Java, Scala, or similar languages.
- Container Management: Set up and manage containers using Docker / Kubernetes.
- Minimum 8 Years of Experience: Minimum 8 years of data engineering experience with a proven track record of delivering complex projects.
- GCP Expertise: Mandatory GCP experience with expertise in designing and implementing scalable data platforms.
- Databricks Expertise: Proven expertise with Databricks and Big Data stack.
As a senior data engineer, you will have the opportunity to work on cutting-edge projects, collaborate with experienced professionals, and develop your skills and expertise.
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