
Scalable Data Solutions Architect
1 day ago
As a skilled Cloud Data Engineer, you will be responsible for designing and implementing scalable data engineering solutions on Google Cloud Platform.
The ideal candidate will have hands-on experience in GCP Data Engineering (BigQuery, Dataflow, DataProc, PySpark, Python, Cloud Composer) and proficiency with Tableau or MicroStrategy for reporting and dashboards.
Key Responsibilities:- Design and Build Pipelines: Use BigQuery, Dataflow, DataProc, and Cloud Composer to design and build efficient data pipelines.
- Implement Analytics Solutions: Leverage Hadoop, Hive, and Spark on GCP to implement big data analytics solutions.
- Write Efficient Queries and Scripts: 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 and Communication: Collaborate with cross-functional teams, bringing strong problem-solving skills and communication abilities.
- GCP Data Engineering Experience: Hands-on experience in GCP Data Engineering is required.
- Tableau or MicroStrategy Proficiency: Proficiency with Tableau or MicroStrategy for reporting and dashboards is necessary.
- Strong Foundation: A strong foundation in data modeling, optimization, and pipeline orchestration is essential.
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Scalable Data Solutions Architect
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Data Solutions Architect
1 day ago
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Scalable Data Architect
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Data Architect
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Mastering Data Solutions
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Experienced Data Architect
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Enterprise Data Solutions Expert
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