8 Database Tools Jobs

As a Manager within the Chief Data Office (CDO), your primary focus will be to support Risk Management activities aimed at enhancing trust with clients and regulators, while ensuring maximum risk reduction, resilience, policy adherence, and regulatory compliance. Your role will gradually evolve into a Subject Matter Expert (SME) in data governance, contributing significantly to the development and implementation of a robust data governance framework within the organization. This position presents a unique opportunity to play a pivotal role in both risk management and data governance in a dynamic data-centric environment. Your responsibilities will include conducting risk assessments of internal data and privacy management processes, leading internal reviews to ensure compliance with policies and regulations, supporting the design and review of risk management guidelines, collaborating with stakeholders to address deficiencies, and developing robust internal controls in collaboration with the 1st and 2nd lines of defence. Additionally, you will contribute to the design of Business Intelligence and reporting solutions, drive initiatives to automate and streamline risk management processes, and raise awareness about risk management benefits across the organization. In the realm of Data Governance, you will play a crucial role in supporting the development and implementation of the organization's data governance framework, defining data governance guidelines and procedures aligned with the data strategy, engaging with key stakeholders to promote data governance practices, and acting as a liaison to advance data governance initiatives across departments. Continuous improvement and innovation will be key aspects of your role where you will stay abreast of industry trends and regulatory changes, evaluate and enhance internal processes, propose initiatives to elevate risk management and data governance capabilities, and contribute to the maturity of these functions over time. You will engage with a range of key stakeholders including the Head of Enterprise Data Governance, Global Head of Risk Management, Heads of CoEs within the CDO, Chief Data Officer, Heads of Business & Functions, and representatives from the 2nd Line of Defence. To excel in this role, you should hold a Bachelor's degree in risk management, data management, finance, computer science, or a related field, with a preference for a Master's degree or relevant certifications in risk management or data governance. A minimum of 5 years of experience in risk management, data governance, or data protection within the financial services industry is required. Additionally, practical knowledge of EU GDPR and e-Privacy Directive is advantageous. Strong skills in MS PowerPoint and MS Excel, attention to detail, analytical prowess, effective communication, and organizational abilities are essential for success in this role. Your technical competencies should include proficiency in Governance, Risk Management, Compliance, Project Management, Communication, and Data Management. By working with us at Standard Chartered, you'll be part of an international bank that values diversity, innovation, and making a positive impact. If you're passionate about driving commerce and prosperity while embracing inclusion and continuous learning, we look forward to hearing from you.,

About Investment Research (IR): As a global leader in knowledge processes, research, and analytics, you will have the opportunity to collaborate with a team specialized in global market research. At Evalueserve, we work closely with top-rated investment research organizations, bulge bracket investment banks, and leading asset managers. Our clientele includes 8 of the top 10 global banks, where we support product and sector teams in deal origination, execution, valuation, and transaction advisory-related projects. What you will do at Evalueserve: You will have the privilege of working directly with the head of the team, a renowned analyst in CEEMEA strategy within the top-tier investment banks. Your responsibilities will involve handling research, strategy, and analytics for all EM fixed income-related products offered by our banking client's research platform. This will include conducting macroeconomic and market research across emerging markets, developing and maintaining financial models and analytical frameworks for EM fixed income products, analyzing large datasets to identify market trends and investment opportunities, supporting the team in producing high-quality research reports and market commentary, and collaborating with trading, sales, and risk teams to align strategy insights with business needs. Your proficiency in utilizing tools such as Bloomberg, Macrobond, Haver, and IMF databases for data extraction and analysis will be crucial in this role. What we are looking for: We seek candidates with an advanced degree in economics, statistics, or engineering, along with a minimum of 3 years of relevant experience. Progress towards CFA or FRM is preferable. Ideal candidates will have prior experience in macro research, financial modeling, structuring, trading, or market risk management. A keen interest in global financial markets and knowledge of recent developments are essential. Strong quantitative and mathematical skills, experience working with large datasets, advanced Excel and VBA analytical skills, as well as knowledge of basic econometrics are required. Proficiency in Python or R will be considered a plus. Excellent written and verbal communication skills are a must, as you will be responsible for writing research reports and commenting on market developments. Familiarity with database tools such as Bloomberg, Macrobond, Haver, World Bank, and IMF is highly valued. Disclaimer: This job description provides an overview of the tasks you may be required to perform and serves as an informative reference. However, it does not form an integral part of your employment agreement and is subject to periodic modifications to align with evolving circumstances. Note: Accuracy and authenticity in the information you provide play a crucial role in your candidacy. As part of the Background Verification Process, we verify your employment, education, and personal details. Kindly ensure that all information is factual and submitted on time. For any assistance, your TA SPOC is available to support you.,

As a Risk Management professional, you will have the opportunity to collaborate with various teams in order to design systems and establish procedures that uphold the highest standards of risk management within the industry. Your primary responsibilities will revolve around the effective management of risks. Utilizing a combination of game knowledge, data analytics, AI, and advanced risk identification techniques, you will be tasked with detecting, preventing, and mitigating both financial and reputational fraud. It will be crucial for you to stay informed about the ever-evolving regulatory environment in the gaming industry and integrate these insights into the development of risk management strategies that set new industry benchmarks. Your proactive approach will involve identifying and preventing fraudulent activities such as multiple identities, money laundering, collusion, bonus abuse, and other violations of the company's Terms of Service. This will be achieved through the implementation of anomaly scoring algorithms and conducting in-depth studies of user behavior. By constructing effective and resilient risk management and fraud detection systems and tools, you will provide valuable feedback on new products or marketing initiatives, as well as stress-test existing systems to safeguard the company's interests. Furthermore, you will play a critical role in maintaining a responsible gaming environment by ensuring the proper implementation of all risk management systems and processes. Your ability to analyze user behavior to uncover new patterns that aid in the early detection of risks will be instrumental in your success in this role. To excel in this position, you must possess proficiency in data analysis and database tools, along with a keen attention to detail and a naturally inquisitive mindset. A methodical approach to problem-solving will be a significant advantage, as will your ability to handle multiple tasks and make prompt decisions. Strong team mentoring and management skills, excellent communication abilities, and the capacity to thrive in a fast-paced environment are essential. As a reliable team player with a strong work ethic, you should hold a bachelor's degree in Mathematics, Finance, Analytics, or Engineering.,

You will join the HCM Strategy team at Goldman Sachs as an Analyst / Senior Analyst in Digital Strategy & Automation. This team focuses on managing transformational initiatives that enhance employee experience, drive automation benefits, and promote resiliency across HCM and the firm. Your role will involve blending strategic thinking, technical expertise, and analytical abilities to support business intelligence, automation, and AI initiatives within Human Capital Management. You will play a pivotal role in driving digital transformation and operational efficiency within the organization. Your responsibilities will include: - Assisting in the development and deployment of business intelligence applications aligned with strategic objectives - Synthesizing complex analysis results into actionable insights to influence business decisions - Supporting the development and implementation of AI-driven solutions to enhance processes and decision-making - Collaborating with data scientists and engineers to integrate AI solutions into existing systems - Assisting in project planning, execution, and reporting while managing risks and dependencies - Contributing to the incubation of new low-code applications and identifying opportunities for innovation - Supporting stakeholder engagements, identifying new opportunities and incorporating best practices Basic qualifications for this role include: - Bachelor's degree in Science, Technology, Engineering, or Mathematics - 2-5 years of experience in business intelligence, automation, and data analytics - Proficiency in digital strategy, business intelligence, automation, and artificial intelligence - Relevant experience in sectors like Consumer, Financial, Social Media, Tech, or FinTech - Strong problem-solving and analytical skills - Excellent written and verbal communication skills - Ability to work independently and as part of a team - Knowledge of data-related emerging trends and issues, including financial regulation Preferred qualifications involve experience with solution delivery frameworks, knowledge of analytics and workflow applications, and proficiency in artificial intelligence programming languages and platforms. Goldman Sachs is committed to fostering diversity and inclusion, offering professional growth opportunities, and providing various benefits and wellness programs to its employees. Accommodations are available for candidates with special needs or disabilities during the recruiting process.,

As a software engineer at Google Cloud, you will play a crucial role in developing cutting-edge technologies that revolutionize how billions of users connect, explore, and interact with information. We are seeking individuals with a Bachelor's degree or equivalent practical experience, along with a minimum of 8 years of software development experience, including leading software projects and creating large-scale web applications. In this role, you will have the opportunity to work on a diverse range of projects spanning various domains such as information retrieval, distributed computing, system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile technologies. You will be tasked with working on projects critical to Google Cloud's success, with the flexibility to transition between teams and projects as the business continues to evolve. A successful candidate will demonstrate proficiency in two or more general-purpose programming languages, including front-end and back-end languages. Additionally, experience with cloud databases, both Relational Database Management Systems (RDBMS) and NoSQL, and the ability to evaluate trade-offs between them will be advantageous. Collaborative skills are essential, as you will be working closely with UX designers, researchers, product managers, and other engineering teams to enhance user experiences and drive product innovation. Responsibilities of this role include identifying and implementing improvements to a shared codebase, designing and launching features with high product and technical quality, developing large-scale user-facing applications, and collaborating with cross-functional teams to steer product direction. Sharing knowledge with teammates to enhance collective effectiveness is also a key aspect of this position. Join us at Google Cloud to accelerate digital transformation for organizations worldwide, leveraging cutting-edge technology and tools to drive sustainable development. Take on new challenges, demonstrate leadership qualities, and contribute to pushing technology forward across the full stack. Be empowered to anticipate customer needs, take ownership, and drive innovation in a fast-paced, dynamic environment.,

Role Overview : The ideal candidate will have hands-on experience and an SME in maintaining databases, with a primary focus on performance, optimization, troubleshooting, high availability, disaster recovery, and automation. With deep expertise in Open Database technologies of PostgreSQL, Redis and MongoDB with additional expertise in containerization and orchestration tools like Docker and Kubernetes. Key Responsibilities : 1. Database Maintenance & Administration : - Perform routine maintenance tasks including backup, recovery, patching, and performance tuning. - Conduct standard database maintenance and administration tasks with attention to detail. - Monitor database activity, health, and performance, using database management system software and tools to collect performance statistics. - Optimize database performance, plan for forecast resource needs, and recommend corrective actions. - Ensure database high availability, replication, failover, and clustering. - Develop and configure tools to automate database administration tasks, enhancing efficiency and minimizing downtime. - Maintain procedures and documentation for databases, ensuring compliance with standards for definition, security, and integrity of database objects. - Implement disaster recovery strategies and maintain data integrity across environments. 2. Incident Management & Troubleshooting : - Handle critical escalations and complex troubleshooting for database issues. - Diagnose performance bottlenecks, slow queries, deadlocks, and replication issues. - Collaborate with DevOps, infrastructure, and application teams for RCA (Root Cause Analysis). 3. Backup, Recovery & Disaster Recovery : - Design and implement backup strategies and disaster recovery plans. - Ensure data integrity, redundancy, and compliance with RPO/RTO requirements. 4. Containerization & Orchestration : - Manage databases using Docker and Kubernetes to ensure scalability and resilience. - Optimize containerized database solutions for performance optimization. - Implement CI/CD pipelines for automated deployment and maintenance of databases within containerized environments. 5. Collaboration & Communication : - Work closely with application teams to ensure seamless integration and optimal performance by understanding business logic, data models, and query patterns. - Optimize database schema and queries for application performance improvement. - Interact with customers, suppliers, and partners to deliver effective database maintenance. 6. Documentation & Reporting : - Maintain comprehensive documentation of database architectures, processes, maintenance plans, and troubleshooting guides. - Prepare reports detailing system health, performance metrics, and improvement plans. Required Skills and Qualifications : - Database Technologies : Deep knowledge of PostgreSQL, Redis and MongoDB. - Containerization & Orchestration : Hands-on experience with Docker and Kubernetes for deploying and managing databases. - Infrastructure and Application Integration : Strong understanding of application and infrastructure interoperability, microservices, API interactions, and application workflows. - Performance Tuning & Optimization : Proven experience in performance tuning, query optimization, system monitoring, and caching mechanisms.

Working Hours : 2PM to 11PM/AM IST Responsibilities : - Lead and execute database migration projects from on-premises or other cloud environments to Oracle Cloud and GCP, ensuring a smooth and efficient transition. - Perform detailed assessments of existing database environments, plan migration strategies, and execute migrations while minimizing impact on business operations. - Work closely with cloud architects, IT security, and operations teams to design and implement scalable, secure, and highly available database solutions on OCI and GCP. - Optimize database performance by implementing best practices for cloud environments, including cost optimization, scalability, and disaster recovery strategies. - Ensure data integrity, security, and compliance with relevant regulations and standards during and after the migration process. - Develop and maintain documentation for database architectures, migration processes, and operational procedures. - Provide technical expertise and support for database design, deployment, management, and troubleshooting in cloud environments. - Collaborate with application development teams to ensure optimal database performance and integration with cloud-native services. - Keep abreast of new features and technologies within OCI and GCP to enhance database capabilities and performance. - Conduct training and knowledge-sharing sessions for the IT team on cloud database technologies and best practices. Required Skills and Qualifications : - Bachelor's degree in computer science, Information Technology, or a related field. - Proven experience as a DBA with a focus on database migration projects to cloud platforms, specifically Oracle Cloud and Google Cloud Platform. - Strong understanding of database structures, theories, principles, and practices. - Familiarity with Oracle Database, MS SQL, MySQL, PostgreSQL, and other relational database management systems (RDBMS). - Mainly we are looking for DBA who has hands on experience in migrating Databases (Oracle Database, MySQL, PostgreSQL, MSSQL) from on-prem to Cloud - Experience with cloud services related to databases in OCI and GCP, such as Oracle Autonomous Database, Google Cloud SQL, and Google Cloud Spanner. - Knowledge of cloud security, networking, and infrastructure as it relates to database services. - Proficiency in database scripting and automation tools for migration and maintenance tasks. - Excellent problem-solving, project management, and communication skills. - Certifications in Oracle Cloud and Google Cloud Platform are highly desirable. Additional Requirements : - Availability to work outside of standard business hours as needed for migrations and maintenance windows. - Willingness to learn new technologies and adapt to changing environments.

Role Overview :The ideal candidate will have hands-on experience and an SME in maintaining databases, with a primary focus on performance, optimization, troubleshooting, high availability, disaster recovery, and automation. With deep expertise in Open Database technologies of PostgreSQL, Redis and MongoDB with additional expertise in containerization and orchestration tools like Docker and Kubernetes. Key Responsibilities :1. Database Maintenance & Administration : - Perform routine maintenance tasks including backup, recovery, patching, and performance tuning. - Conduct standard database maintenance and administration tasks with attention to detail. - Monitor database activity, health, and performance, using database management system software and tools to collect performance statistics. - Optimize database performance, plan for forecast resource needs, and recommend corrective actions. - Ensure database high availability, replication, failover, and clustering. - Develop and configure tools to automate database administration tasks, enhancing efficiency and minimizing downtime. - Maintain procedures and documentation for databases, ensuring compliance with standards for definition, security, and integrity of database objects. - Implement disaster recovery strategies and maintain data integrity across environments.2. Incident Management & Troubleshooting : - Handle critical escalations and complex troubleshooting for database issues. - Diagnose performance bottlenecks, slow queries, deadlocks, and replication issues. - Collaborate with DevOps, infrastructure, and application teams for RCA (Root Cause Analysis).3. Backup, Recovery & Disaster Recovery : - Design and implement backup strategies and disaster recovery plans. - Ensure data integrity, redundancy, and compliance with RPO/RTO requirements.4. Containerization & Orchestration : - Manage databases using Docker and Kubernetes to ensure scalability and resilience. - Optimize containerized database solutions for performance optimization. - Implement CI/CD pipelines for automated deployment and maintenance of databases within containerized environments.5. Collaboration & Communication : - Work closely with application teams to ensure seamless integration and optimal performance by understanding business logic, data models, and query patterns. - Optimize database schema and queries for application performance improvement. - Interact with customers, suppliers, and partners to deliver effective database maintenance.6. Documentation & Reporting : - Maintain comprehensive documentation of database architectures, processes, maintenance plans, and troubleshooting guides. - Prepare reports detailing system health, performance metrics, and improvement plans. Required Skills and Qualifications : - Database Technologies : Deep knowledge of PostgreSQL, Redis and MongoDB. - Containerization & Orchestration : Hands-on experience with Docker and Kubernetes for deploying and managing databases. - Infrastructure and Application Integration : Strong understanding of application and infrastructure interoperability, microservices, API interactions, and application workflows. - Performance Tuning & Optimization : Proven experience in performance tuning, query optimization, system monitoring, and caching mechanisms.