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5 hours ago
We are seeking an experienced and skilled Big Data Engineer to join our team. As a key member of our engineering team, you will design, develop, and optimize data pipelines using GCP BigQuery, Dataflow, and Apache Airflow to support large-scale data analytics.
The ideal candidate will have hands-on experience with big data technologies such as Hadoop ecosystem, SQL queries, and workflow orchestration using Apache Airflow.
The role involves collaborating with cross-functional teams to gather requirements and deliver reliable data solutions, ensuring data quality, consistency, and integrity across multiple data sources.
The successful candidate will also be responsible for monitoring and troubleshooting data workflows to maintain high system availability and performance.
To succeed in this role, you will need to stay updated with emerging trends and best practices in GCP data analytics and big data technologies.
Key Responsibilities:- Implement and manage ETL processes leveraging GCP services such as BigQuery, Dataflow, and Airflow.
- Develop scalable, maintainable, and reusable data pipelines to support business intelligence and analytics needs.
- Optimize SQL queries and data models for performance and cost efficiency in BigQuery.
- Integrate Hadoop ecosystem components with GCP services to enhance data processing capabilities.
- Automate workflow orchestration using Apache Airflow for seamless data operations.
- Collaborate with data engineers, analysts, and stakeholders to ensure alignment of data solutions with organizational goals.
- GCP Storage
- GCP BigQuery
- GCP DataProc
- GCP Cloud Composer
- Apache Airflow
- Java
- Python
- Scala
- Big Data Hadoop Ecosystem
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