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16 hours ago
GCP Data Engineer is a key role in our organization that requires expertise in Google Cloud Platform (GCP) services and Big Data Analytics solutions. With 5-10 years of experience, this professional will be responsible for designing and implementing scalable data engineering solutions while working on advanced cloud-based projects.
The ideal candidate should have hands-on experience in GCP Data Engineering (BigQuery, Dataflow, DataProc, PySpark, Python, Cloud Composer), proficiency with Tableau or MicroStrategy for reporting and dashboards, and a strong foundation in data modeling, optimization, and pipeline orchestration.
We are looking for a talented individual who can work collaboratively with cross-functional teams, bring strong problem-solving skills and communication abilities, and apply Agile methodologies in project delivery. The ability to leverage data visualization tools (Tableau / MicroStrategy) for business insights is also essential.
- Key Responsibilities:
- Design, build, and optimize data pipelines using BigQuery, Dataflow, DataProc, and Cloud Composer.
- Implement Big Data Analytics solutions leveraging Hadoop, Hive, and Spark on GCP.
- Write efficient queries and scripts with SQL, PySpark, and Python for large-scale data processing.
- Work with orchestration and messaging tools like Airflow, Kafka, Git, Jenkins, and manage CI/CD pipelines.
- Collaborate with cross-functional teams, bringing strong problem-solving skills and communication abilities.
- 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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