5 Database Indexing Jobs

You should have strong experience in SQL development and query optimization, along with a good understanding of database indexing, partitioning, and performance tuning. Knowledge of data warehousing concepts such as Star Schema and Dimension Modeling is essential. Experience in creating dimension tables for analytics and reporting, as well as implementing data partitioning and performance tuning techniques in Data Warehousing (DWH) environments, will be beneficial. Additionally, familiarity with tools such as Snowflake, Talend, TeamCity, Jenkins, GIT, and ETL scripts is required. Experience working with database objects, job schedulers for execution and monitoring, branching, merging, and automated deployment for ETL processes will be advantageous. An added advantage would be excellent exposure to Cloud technologies.,

You should have at least 7-10 years of work experience and must have worked as a Database Tech Lead in Hyderabad with an office-based work setup. Your responsibilities will include: - Demonstrating over 5 years of professional experience as an MSSQL Developer or Database Developer. - Showcasing expertise in writing intricate SQL queries, stored procedures, and functions. - Having a strong command over query optimization, performance tuning, and database indexing. - Possessing knowledge or experience in Duck Creek Data Insights. - Demonstrating familiarity with ETL Processes (SSIS) and data integration techniques. - Having experience with Power BI or SSRS. - Being well-versed in database design principles and normalization techniques. - Having hands-on experience with one or more relational database management systems (e.g., SQL Server, Oracle, PostgreSQL, MySQL) will be considered a plus. - Exhibiting excellent problem-solving skills and attention to detail. - Demonstrating strong communication and teamwork skills. - Any leadership experience and the ability to mentor junior developers will be an added advantage.,

Description We are seeking an experienced Performance Tuning Engineer to join our team in India. The ideal candidate will have a strong background in performance optimization and tuning across various systems and applications. This role requires a proactive approach to identifying performance issues and implementing solutions to enhance system efficiency. Responsibilities Analyze system performance and identify bottlenecks. Optimize database queries and indexing strategies. Work with application developers to improve application performance. Monitor and report on performance metrics for systems and applications. Implement performance tuning best practices and guidelines. Conduct performance testing and benchmarking of applications. Collaborate with cross-functional teams to resolve performance issues. Skills and Qualifications 5-15 years of experience in performance tuning and optimization. Strong understanding of database management systems (e.g., Oracle, MySQL, SQL Server). Proficiency in SQL and query optimization techniques. Experience with profiling and analyzing application performance. Familiarity with operating systems and network protocols. Knowledge of performance monitoring tools (e.g., New Relic, AppDynamics). Ability to write scripts for automation (e.g., Python, Shell scripting). Strong analytical and problem-solving skills.

As a Generative AI & LLM expert, you will be responsible for supporting the AI and ML team in designing, developing, fine-tuning, and deploying large language models and generative AI applications. This role offers a unique opportunity to work with state-of-the-art AI technologies and enhance your skills in machine learning, natural language processing, and deep learning. Your primary responsibilities will include architecting robust systems to integrate LLMs and support retrieval workflows, providing guidance on the use of Vector DBs and model deployment on cloud platforms, optimizing the fine-tuning process for business-specific LLM use cases, and designing applications with on-premise/cloud-based LLM, RAG, Langchain. Key skills required for this role include model training & fine-tuning, data preparation & preprocessing, prompt engineering, model evaluation & optimization, collaborating with cross-functional teams, documentation & reporting, managing and training LLM models, and generating embeddings and managing semantic search via Vector DBs. To qualify for this position, you should have completed a Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Additionally, you should have at least 7+ years of experience in building ML pipelines, feature engineering, or deploying models/LLMs on cloud platforms. Other skills considered include experience with machine learning pipelines, model optimization, feature engineering, proficiency in database indexing, familiarity with deploying ML models in cloud environments, leadership skills, and strategic thinking. If you are passionate about working with cutting-edge AI technologies and have a strong background in machine learning and deep learning, we encourage you to apply for this role in our Product Engineering category. You can submit your application by filling in your name, email, phone number, and attaching your resume. We look forward to potentially welcoming you to our team and collaborating on innovative AI projects.,

As an AI Specialist at our company based in Hyderabad, you will be responsible for training and fine-tuning LLMs such as LLaMA and Mistral to cater to company-specific use cases. You will play a vital role in customizing and optimizing model performance for seamless production deployment. Collaboration with internal teams for model integration and data pipelines will be a key aspect of your role. It is imperative that you stay abreast of the latest advancements in GenAI and LLM techniques to contribute effectively. To excel in this role, you must possess hands-on experience with LLMs and fine-tuning techniques. Your expertise in the specifics of vector database indexing will be highly beneficial. We are looking for someone with a robust background in advanced AI/ML techniques and database indexing, particularly in the context of production projects. Familiarity with technologies such as LoRA, QLoRA, RAG, and PEFT is desirable. Additionally, your knowledge of model evaluation, optimization, and GPU training will be crucial for success in this position.,