
Cloud Data Engineer Role
4 days ago
We are seeking a highly experienced Senior Cloud Data Engineer to join our team. The ideal candidate will have 5-10 years of experience in Google Cloud Platform (GCP) services and Big Data Analytics solutions.
Key Responsibilities:
- Data Pipeline Development: Design, build, and optimize data pipelines using BigQuery, Dataflow, DataProc, and Cloud Composer.
- Big Data Analytics Solutions: Implement Big Data Analytics solutions leveraging Hadoop, Hive, and Spark on GCP.
- Large-Scale Data Processing: Write efficient queries and scripts with SQL, PySpark, and Python for large-scale data processing.
- Orchestration and Messaging: Work with orchestration and messaging tools like Airflow, Kafka, Git, Jenkins, and manage CI/CD pipelines.
- Collaboration: Collaborate with cross-functional teams, bringing strong problem-solving skills and communication abilities.
- Agile Methodologies: Apply Agile methodologies in project delivery and leverage data visualization tools (Tableau / MicroStrategy) for business insights.
Must-Have Skills:
- GCP Data Engineering: Hands-on experience in GCP Data Engineering (BigQuery, Dataflow, DataProc, PySpark, Python, Cloud Composer).
- Data Visualization: Proficiency with Tableau or MicroStrategy (MSTR) for reporting and dashboards.
- Data Modeling: Strong foundation in data modeling, optimization, and pipeline orchestration.
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