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Job Description & How to Apply Below
enterprise data architecture strategy and to Build and manage data pipelines (ETL/ELT), enabling
seamless data flow across systems with batch and real-time processing
Required
Skills and Experience:
15 yrs of Experience
Key Responsibilities
Define enterprise data architecture, design scalable cloud-based data solutions, and establish standards and best practices.
Create conceptual, logical, and physical data models optimized for transactional and analytical use cases.
Build and manage data pipelines (ETL/ELT), enabling seamless data flow across systems with batch and real-time processing
Design modern data warehouses and support BI, reporting, and advanced analytics through structured data layers
Implement and optimize data solutions on Azure, with working knowledge of AWS, ensuring scalability and cost efficiency. Establish data classification, quality, security, and governance frameworks, including lineage and metadata management.
Develop and optimize complex SQL queries and ensure high performance across pipelines, models, and databases. Exposure to AI/ML data pipelines.
Proven experience designing enterprise-scale data solutions.
Strong Knowledge of :
Data architecture
Data modelling
CICD Pipelines
Azure Data Bricks
Pyspark
Soft Skills:
Strong communication and documentation skills.
Customer-focused with a proactive mindset.
Ability to lead and manage the team
Detail-oriented and able to manage multiple priorities
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