Design, build, and maintain scalable and reliable data pipelines to collect, process, and transform raw data into usable formats.
Automate the movement and transformation of data across various systems and sources, ensuring data flows seamlessly.
Database Management:
Create and maintain robust data storage solutions, including data warehouses, data lakes, and databases.
Ensure the database architecture is optimized for query performance, scalability, and security.
Handle data migrations, backups, and data restoration processes.
ETL (Extract, Transform, Load) Processes:
Build and manage ETL pipelines to extract data from various sources, transform it to fit the needs of analytics and business intelligence, and load it into storage systems.
Ensure data quality and consistency throughout the ETL pipeline.
Data Modeling:
Design and implement data models, schemas, and structures that efficiently store and retrieve data.
Work with stakeholders to ensure that the data model aligns with business requirements and optimizes performance.
Data Integration:
Integrate data from multiple sources (internal and external) into a unified platform.
Ensure proper data mapping, transformation, and consolidation across systems.
Data Governance and Security:
Implement data governance policies, including data lineage, data quality, and compliance (e.g., GDPR, HIPAA).
Work with security teams to ensure that data is securely stored and accessed.
Performance Optimization:
Monitor and optimize data processing pipelines to handle increasing volumes of data efficiently.
Troubleshoot and resolve any performance bottlenecks in data processing and storage systems.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QA, Role Category: Software DevelopmentRole: Data EngineerEmployement Type: Full time
Contact Details:
Company: It a global analyticsLocation(s): Noida, Gurugram