Design, develop, and maintain scalable data pipelines that ingest, process, and transform data from various sources into structured formats for analysis and reporting
Lead the design and implementation of data architectures, including data warehouses, data lakes, and cloud-based solutions, ensuring they are scalable, secure, and aligned with business requirements
Establish data quality standards and governance practices, ensuring data accuracy, consistency, and compliance with regulatory requirements
Share governance responsibility to ensure alignment to enterprise guidelines for security, auditability, data governance, metadata management, etc
Monitor, troubleshoot, and optimize the performance of data systems, including database tuning, query optimization, and pipeline efficiency
Utilize big data technologies to handle high-velocity and high-volume data processing tasks
Work closely with data scientists, analysts, and other stakeholders to gather data requirements, translate them into technical solutions, and ensure data availability for business needs.
Provide guidance and mentorship to junior engineers and peers, fostering a collaborative environment and promoting best practices in data engineering
Maintain comprehensive documentation of data architectures, pipelines, and processes to ensure knowledge sharing and operational continuity
Ensure that all cloud data solutions meet security, compliance, and governance requirements, implementing best practices for data encryption, access control, and monitoring
Stay current with emerging data engineering trends and technologies, proposing and implementing innovative solutions that improve data processing and analysis capabilities

Data Solution Architect|Bangalore|9+Yrs

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