6 Data Sharding Jobs

As a MongoDB expert with over 5 years of experience, you will be responsible for architecting MongoDB databases and utilizing the aggregation framework to optimize query performance. Your expertise in Data Sharding, MongoDB replication, Aggregation pipeline, and MongoDB Atlas will be crucial in ensuring efficient database operations using JavaScript. Key Responsibilities: - Architect MongoDB databases to meet the requirements of the organization - Utilize the aggregation framework for query optimization and performance tuning - Implement Data Sharding and MongoDB replication strategies - Work with MongoDB Atlas for scalable and secure database solutions Qualifications Required: - 5+ years of...

As a Data Modeller with GCP in Chennai on a 6 months contract, your role will involve: - Hands-on data modelling for OLTP and OLAP systems. - In-Depth knowledge of Conceptual, Logical and Physical data modelling. - Strong understanding of Indexing, partitioning, data sharding with practical experience of having done the same. - Strong understanding of variables impacting database performance for near-real time reporting and application interaction. - Should have working experience on at least one data modelling tool, preferably DBSchema. - People with functional knowledge of mutual fund industry will be a plus. - Good understanding of GCP databases like AlloyDB, CloudSQL and BigQuery. Qualif...

We are looking for an experienced Data Engineer specializing in Apache Cassandra to oversee the processing of large-scale data. The ideal candidate will have a proven track record in managing crores of records, with a specific focus on high-performance CRUD operations, efficient data retrieval through effective sharding strategies, and the integration of Cassandra with dashboards and reporting tools. Key Responsibilities: - Design, implement, and manage scalable data models and Cassandra clusters. - Handle and process massive datasets (crores of records) with an emphasis on performance and reliability. - Optimize performance for large datasets, prioritizing speed and reliability. - Implement...

Job Description Job Title: Data Modeller Experience: 6+ Years Location: Bangalore Work Mode: Onsite Job Role: We are seeking a skilled Data Modeller with expertise in designing data models for both OLTP and OLAP systems. The ideal candidate will have deep knowledge of data modelling principles and a strong understanding of database performance optimization, especially in near-real-time reporting environments. Prior experience with GCP databases and data modelling tools is essential. Responsibilities: ? Design and implement data models (Conceptual, Logical, and Physical) for complex business requirements ? Develop scalable OLTP and OLAP models to support enterprise data needs ? Optimize datab...

Wipro Limited is a leading technology services and consulting company dedicated to developing innovative solutions that cater to the most complex digital transformation needs of clients. Our comprehensive range of consulting, design, engineering, and operational capabilities enables us to assist clients in achieving their most ambitious goals and establishing sustainable, future-ready businesses. With a global presence of over 230,000 employees and business partners spanning 65 countries, we remain committed to supporting our customers, colleagues, and communities in navigating an ever-evolving world. We are currently seeking an individual with hands-on experience in data modeling for both O...

About the Role: We are looking for a hands-on AWS Data Architect OR Lead Engineer to design and implement scalable, secure, and high-performing data solutions. This is an individual contributor role where you will work closely with data engineers, analysts, and stakeholders to build modern, cloud-native data architectures across real-time and batch pipelines. Experience: 715 Years Location: Fully Remote Company: Armakuni India Key Responsibilities: Data Architecture Design: Develop and maintain a comprehensive data architecture strategy that aligns with the business objectives and technology landscape. Data Modeling: Create and manage logical, physical, and conceptual data models to support ...