Job Title: GCP Data Architect - Data Pipelines and DataOps
Location: Offshore
Job Responsibilities:
Data Architecture and Design:
Lead the design and development of scalable and productive data architectures on GCP, with a focus on data pipelines and DataOps principles.
Collaborate with cross-functional teams to understand business requirements and translate them into comprehensive data solutions.
Experience in Data Products principles and designing Data API’s
Data Ingestion considering System of Records, Systems of Engagement and Systems of Insight
Data Pipelines Expertise:
Design, implement, and optimize end-to-end data pipelines, ensuring seamless integration with various data sources and destinations.
Implement data streaming and batch processing solutions to support real-time and batch analytics.
DataOps Implementation:
Establish and maintain robust DataOps processes to streamline the development, deployment,
and monitoring of data pipelines.
Implement version control, automated testing, and continuous integration practices for data pipelines.
GCP Data Services Mastery:
Possess advanced knowledge and hands-on experience with GCP data services, including BigQuery, Dataflow, Dataprep, Dataproc, and other relevant tools.
Stay updated on the latest GCP data services offerings and integrate new technologies into data pipeline architectures.
Data Governance and Security:
Implement and enforce data governance policies within the context of DataOps, ensuring data integrity, security, and compliance.
Collaborate with security and compliance teams to address any data security concerns in data pipeline processes.
Collaboration and Leadership:
Collaborate with data engineers, data scientists, and business stakeholders to understand their requirements and align data architectures with organizational goals.
Provide technical leadershi
📌 Lead Data Analyst1 (Chennai)
🏢 Wipro
📍 Chennai
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