
Lead Data Architect
6 days ago
The ideal candidate will possess a strong background in data engineering, with experience in designing, building, and maintaining large-scale data processing systems. They should have a solid understanding of cloud-based technologies, including GCP and AWS.
Mandatory Skills:
- GCP Storage - Ability to design and implement scalable storage solutions using GCP Storage.
- GCP Big Query - Proficiency in using GCP Big Query for data analysis and reporting.
- GCP Data Proc - Experience in using GCP Data Proc for data processing and transformation.
- GCP Cloud Composer - Knowledge of GCP Cloud Composer for workflow management.
- GCP DMS - Understanding of GCP DMS for data migration and synchronization.
- AWS Airflow - Familiarity with AWS Airflow for workflow automation.
- Java, Python, Scala - Programming skills in Java, Python, and Scala for development.
- GCP Datastream - Experience in using GCP Datastream for real-time data processing.
- Google Analytics Hub - Knowledge of Google Analytics Hub for data integration.
- GCP Workflows - Understanding of GCP Workflows for workflow management.
- GCP Dataform - Familiarity with GCP Dataform for data transformation.
- GCP Data fusion - Experience in using GCP Data fusion for data integration.
- GCP Pub/Sub - Understanding of GCP Pub/Sub for messaging.
- ANSI-SQL - Knowledge of ANSI-SQL for database querying.
- GCP Dataflow - Experience in using GCP Dataflow for data processing.
- Big Data Hadoop Ecosystem - Understanding of the Big Data Hadoop Ecosystem for big data analytics.
Desirable Skill:
- GCP Cloud Composer - Additional experience in GCP Cloud Composer is desired.
This role offers a challenging and rewarding opportunity to work on cutting-edge data engineering projects. If you are passionate about data engineering and want to take your career to the next level, we encourage you to apply.
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