Senior Data Engineer

2 days ago


Noida, Uttar Pradesh, India A Data Science Company Full time

Company Description A fast-growing data-science company, serving clients across industries and geographies. Position: Senior Data Engineer/Architect Experience : 5y to 10y Location : NOIDA Work Mode : In Office only Interview Process : 3 Tech rounds, Fitment round, HR round. Joining : Immediate to 30 days CTC Offered: Up to 38LPA Role Description Seeking a highly experienced Senior Cloud Data Warehouse Engineer/Architect to lead the design, development, and implementation of robust and scalable data warehousing solutions on cloud platforms. The ideal candidate will have a proven track record of building full-fledged data warehouses or data marts, with expertise in cloud environments, MLOps/DevOps practices, and cloud engineering. Responsibilities : Data Warehouse Development & Architecture : Lead the design, development, and implementation of data warehouses and data marts on cloud platforms (e.g., AWS, Azure, GCP). Architect scalable and efficient data models and ETL/ELT pipelines Ensure data quality, integrity, and security. Lead the technical aspects of data warehouse projects from conception to deployment. Cloud Engineering & DevOps/MLOps : Implement and maintain cloud infrastructure for data warehousing solutions. Apply DevOps/MLOps principles to automate data pipeline deployments and model management. Manage and optimize cloud resources for performance and cost efficiency. Work with cloud based data management tools. Technical Leadership & Collaboration :      Provide technical leadership and mentorship to junior engineers. Collaborate with data scientists, analysts, and business stakeholders to understand data requirements. Communicate technical concepts effectively to both technical and non-technical audiences. Troubleshoot and resolve complex technical issues. Performance and Optimization : Monitor and optimize data warehouse performance. Implement best practices for data storage, retrieval, and processing. Requirements : a) 5-10 years of experience in data warehousing and cloud engineering. b) Must Have proven experience leading or being a key contributor in building full-fledged data warehouses or data marts on a major cloud platform (AWS, Azure, GCP). c) Strong working knowledge of MLOps and/or DevOps principles and practices. d) Strong SQL and data modeling skills. e) Experience with ETL/ELT tools and technologies. Qualifications : BE/BTech from a Tier1/ Tier-2 engineering college.


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