What are the responsibilities and job description for the Lead Cloud Data Solution Architect - GCP & Real-Time Analytics position at Artmac Soft LLC?
Who We Are
Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to customers.
Job Description
Job Title : Lead Cloud Data Solution Architect GCP & Real-Time Analytics
Job Type : W2
Experience : 8-13 years
Location : Remote
Responsibilities :
- Proven experience in data architecture and solution design.
- Strong problem-solving skills and the ability to work in a fast-paced environment.
- Excellent communication and collaboration skills.
- Experience with GCP Big Query and other cloud data warehousing solutions.
- Familiarity with modern data processing frameworks and tools.
- Design and implement data warehousing (DWH) architectures for large-scale data ingestion, with a preference for GCP Big Query.
- Develop and manage ETL / ELT pipelines, including data ingestion, transformation, and storage processes.
- Create and maintain data models and architectures, including dimensional modeling, data lakehouse design, and data partitioning / sharding.
- Utilize SQL for data analysis across heterogeneous sources.
- Handle real-time streaming data pipelines for network performance and customer insights.
- Implement business use cases such as churn prediction, network optimization, and revenue assurance solutions.
- Cloud Data Warehousing (DWH) : Advanced knowledge of designing and implementing DWH architecture for large-scale data ingestion, with a preference for GCP Big Query.
- ETL / ELT Pipelines : Expertise in developing and managing ETL / ELT pipelines, including data ingestion, transformation, and storage processes.
- Data Modeling and Architecture : Proficiency in dimensional modeling, data lakehouse design, and data partitioning / sharding.
- SQL Proficiency : Strong skills in SQL for data analysis across heterogeneous sources.
- Real-Time Data Processing : Experience in handling real-time streaming data pipelines for network performance and customer insights.
- Business Use Case Implementation : Expertise in implementing business use cases such as churn prediction, network optimization, and revenue assurance solutions.
Qualification :
