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3 days ago
We are seeking a seasoned Cloud Data Engineer to spearhead the design and implementation of scalable data engineering solutions on Google Cloud Platform (GCP) services. This opportunity is perfect for professionals passionate about leveraging advanced cloud-based projects to drive business growth.
Main 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.
- Efficient Query Writing: Write efficient queries and scripts with SQL, PySpark, and Python for large-scale data processing.
- Orchestration and Messaging Tools: Work with orchestration and messaging tools like Airflow, Kafka, Git, Jenkins, and manage CI/CD pipelines.
- Collaboration and Communication: 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:
- Hands-on experience in GCP Data Engineering (BigQuery, Dataflow, DataProc, PySpark, Python, Cloud Composer).
- Proficiency with Tableau or MicroStrategy (MSTR) for reporting and dashboards.
- Strong foundation in data modeling, optimization, and pipeline orchestration.
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