Normalization Jobs in Bengaluru

Job Title: Lead Associate Software Engineering (Database Developer) Location: Bengaluru Type: Full-Time Level: Senior Database Developer About BetaNXT BetaNXT is shaping the future of connected wealth management infrastructure, delivering real-time data capabilities that improve advisor productivity, reduce operational costs, and enhance the investor experience. Leveraging the combined power of Beta, Maxit, and Mediant, our solutions tackle complex integration challenges and modernize platforms for scalability, agility, and growth. We help wealth management firms turn legacy platforms into differentiating assets. About the Role We are looking for a Senior Database Developer to join our Product Engineering team as a Lead Associate Software Engineering. In this role, you will play a critical part in designing, developing, and optimizing enterprise-grade database solutions to support our next-generation wealth management platform. This position is ideal for a detail-oriented and performance-focused database professional who thrives in a collaborative Agile environment and is passionate about building scalable, reliable data systems. Key Responsibilities Design, develop, and maintain complex SQL queries, stored procedures, triggers, and database scripts. Analyze and optimize database performance, ensuring scalability and efficiency. Develop and maintain SSRS reports, support ETL processes, and collaborate on SSIS packages. Work closely with application developers to ensure seamless database integration and data flow. Perform in-depth data analysis to support business and product requirements. Partner with QA teams to validate data integrity and support testing cycles. Conduct unit testing and developer-level validation to ensure quality before release. Participate in daily Scrum meetings and Agile ceremonies to coordinate development efforts. Troubleshoot and resolve complex technical issues related to data and performance. Document all development work to support maintainability and knowledge sharing. Required Qualifications & Experience Experience: 7+ years of hands-on experience in SQL database development in enterprise environments. Technical Skills: Advanced SQL development skills, including writing and optimizing complex queries and stored procedures. Proficiency in T-SQL (preferred), with acceptable expertise in PL/SQL or equivalent SQL dialects. Experience with SSRS (SQL Server Reporting Services), SSIS, and ETL processes. Strong data modeling, data analysis, and database design capabilities. Hands-on experience in performance tuning and query optimization techniques. Working knowledge of AWS services such as S3, SSM, and DynamoDB is a plus. Soft Skills & Collaboration Strong problem-solving and analytical thinking skills. Excellent verbal and written communication skills. Ability to work collaboratively across cross-functional Agile teams. Highly organized, detail-oriented, and self-motivated. Contribute to a platform backed by industry innovation and 11 technology patents. Help shape the future of real-time data and wealth management systems at scale. Collaborate with a high-impact, global engineering team in a dynamic, fast-paced environment. Thrive in a company culture that values growth, curiosity, and collaboration.

Platform Admin NextGen SIEM Location: Bangalore (Onsite) About ColorTokens At ColorTokens, we re all about helping businesses stay secure and keep running, no matter what cyber chaos hits. Our game-changing Xshield platform stops ransomware and malware from spreading sideways, so companies can keep their critical stuff safe and business uninterrupted. We bring insane visibility into traffic flows between workloads, IoT devices, users basically everything to create super tight security zones that isolate threats fast. We re a Forrester Wave Leader (Q3 2024) for microsegmentation and protect global giants from costly cyber disruptions. Our Culture We love self-starters who bring energy, curiosity, and big ideas. You ll get to own projects, collaborate with passionate teammates, and work on security that actually protects real people from hospitals to cities to entire nations. What You ll Do The Role You ll run and manage our NextGen SIEM platform think Splunk, Sentinel, Exabeam, Stellar Cyber, or similar making sure it s up-to-date, humming smoothly, and packed with the right alerts. Admin & Ops: Install, configure, patch, and keep the SIEM platform running 24/7. Log Boss: Bring in new log sources, troubleshoot ingestion issues, and ensure data is clean and compliant. Rule Maker: Build and tweak detection rules and alerts to catch real threats while cutting down false alarms. Integrate & Automate: Connect SIEM with other security tools and automate incident workflows. Lock It Down: Manage user access, keep the platform secure, and nail compliance requirements. Team Player: Work closely with SOC analysts, threat hunters, and engineers to level up detection and response. Support & Train: Help users get the most from the platform and be the go-to expert when incidents hit. Optimize & Report: Track performance, fix bottlenecks, and share insights to keep the platform sharp. What You Bring Your Skills & Experience 8+ years managing SIEM platforms, especially NextGen ones like Splunk, Sentinel, or Exabeam. Expert in log management, rule creation, and onboarding data from all sorts of sources. Solid scripting skills (Python, PowerShell) to automate and customize workflows. Deep knowledge of log formats (Syslog, JSON, XML), querying languages (KQL, SPL, AQL), and data pipelines. Experience integrating SIEM with EDR, SOAR, NDR, and threat intel platforms. Familiar with security frameworks like MITRE ATT&CK, NIST, or CIS. Bonus points if you know cloud security (AWS, Azure, GCP), machine learning in SIEM, or SOAR tools like Cortex XSOAR or Phantom. Your Credentials Bachelor s degree in Computer Science, InfoSec, or related field (or equivalent experience). Relevant certifications like Splunk Certified Admin, Microsoft Security Operations Analyst, QRadar cert, or CISSP are a major plus. What Success Looks Like Keep SIEM uptime near 100%. Smoothly onboard new log sources and build killer detection use cases. Reduce noise fewer false positives, sharper alerts. Fast, effective fixes when platform issues pop up. Align SIEM capabilities tightly with security and business goals. Qualification : Bachelors degree in Computer Science, InfoSec, or related field (or equivalent experience).

Intuit is a global leader in financial technology, dedicated to helping individuals and businesses thrive. Our suite of products, including TurboTax, Credit Karma, QuickBooks, and Mailchimp, serves approximately 100 million customers worldwide. At Intuit, we believe in providing everyone with the tools and resources they need to achieve financial success. We are constantly innovating to make financial empowerment a reality for all. Job Overview Join the Intuit Data Platform (IDP) team as a Staff Engineer and help us transform the way we handle big data! The IDP team is responsible for the Intuit Analytics Platform, which powers real-time data ingestion, cataloging, analytics, and machine learning across the entire organization. As Intuit s customer base grows, so does the volume of data we process. Our engineering excellence ensures that we can scale and leverage this data to drive machine learning and product innovations. We re in the process of building the next-generation real-time and batch ingestion engine, capable of indexing, cataloging, and organizing data and metadata. We are passionate about using open-source technologies to solve challenges and contributing back to the community. If you're excited about building a platform that will directly impact data scientists and analysts and have a desire to shape the future of data at Intuit, then come join us! Key Responsibilities Architect & Design: Build fault-tolerant and scalable big-data platforms using open-source technologies to handle massive datasets. Data Solutions: Create architecture solutions that address complex use cases like data normalization, lineage, governance, ontology, and discoverability. Cross-Team Collaboration: Work with analysts and data scientists to understand data requirements for building operational propensity models and gaining deep customer insights. Hands-On Coding: Lead development efforts within the Hadoop ecosystem using technologies such as Java MapReduce, Spark, Scala, HBase, and Hive to build and optimize data pipelines for both real-time and batch applications. Database Management: Work with NoSQL, SQL, and in-memory databases to design high-performance data systems. Code Reviews: Ensure code quality, consistency, and adherence to best practices through regular code reviews. Architectural Alignment: Ensure alignment between enterprise architecture and business requirements. Prove Feasibility: Conduct proof-of-concept (POC) experiments for new technologies or approaches and drive them to production. Collaboration with Data Cataloging Team: Work closely with data catalog teams and architects to index and catalog all data sources at Intuit. Agile Leadership: Lead fast-paced development teams using agile methodologies and promote best practices in software development, testing, and incident response. Design & Model: Build dimension models suited for customer business use cases and ensure seamless integration of business and technical requirements. Qualifications Experience: 12+ years of relevant experience, with at least 5+ years specializing in the big data domain. Big Data Architecture: Proven experience in architecting end-to-end ecosystems for big data and analytics platforms. Expert Knowledge: Deep expertise in building fault-tolerant, scalable big data solutions, especially using the Hadoop ecosystem (Hive, HBase, Spark, Kafka, MapReduce, etc.). Programming Expertise: Mastery of Java and Scala, with a focus on building high-throughput data services. Machine Learning: Knowledge of machine learning principles and AI applications in big data. Big-Data Technologies: Familiarity with tools such as HDFS, Storm, Zookeeper, Cassandra, Redshift, GraphDB, and others. Understanding both real-time and batch processing in the Hadoop ecosystem. Communication: Strong communication skills, with an ability to explain complex technical topics to both technical and non-technical audiences. Programming Skills: Intermediate experience in Python or R for data processing. Education: BE/BTech/MS in Computer Science or a related field (or equivalent experience). Collaboration: Demonstrated ability to work cross-functionally and lead change through influence and example. At Intuit, you ll be part of a talented, passionate team working on innovative solutions that shape the future of data analytics and machine learning. As a Staff Engineer, you ll have the chance to work with cutting-edge technologies, build scalable systems, and help revolutionize how Intuit leverages data to drive product innovation. If you're looking for a dynamic environment where you can have a meaningful impact, come join us at Intuit! Qualification : BE/BTech/MS in Computer Science (or equivalent)

About the Job Join us as a Generative AI Engineer, where you ll design and develop cutting-edge AI-powered solutions that redefine creativity and innovation. Your work will push the boundaries of what s possible in content generation, from text and images to audio and beyond. In this job, you will: Research & Development: Stay up-to-date with the latest advancements in generative AI and deep learning. Contribute to the development of novel models, exploring innovative algorithms and methodologies. Model Architecture: Design custom generative models using neural network architectures like GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and others tailored for specific applications. Data Processing: Prepare and preprocess large-scale datasets for model training. Apply techniques like data augmentation, normalization, and transformation to improve performance. Training & Optimization: Train generative models using frameworks like TensorFlow and PyTorch, optimizing for efficiency, speed, and quality. Hyperparameter Tuning: Fine-tune models for optimal performance, balancing convergence speed, stability, and output diversity. Evaluation Metrics: Develop metrics to assess the quality, diversity, and novelty of generated content. Continuously iterate and improve models based on these metrics. Deployment: Work with software engineers to integrate generative models into production systems, ensuring scalability, reliability, and performance. Collaboration: Partner with data scientists, machine learning engineers, designers, and product managers to translate business requirements into generative AI solutions. Documentation: Document research, experiments, and codebase thoroughly for internal use and external stakeholders. Continuous Learning: Stay informed on emerging technologies, attend industry events, and contribute to ongoing innovation. Qualifications Bachelor s, Master s, or Ph.D. in Computer Science, Engineering, or related fields. Strong foundation in machine learning, deep learning, and neural networks. Proficiency in Python and relevant AI libraries (e.g., TensorFlow, PyTorch). Hands-on experience with generative models like GANs, VAEs, and their practical applications. Solid understanding of data preprocessing, feature extraction, and model evaluation. Experience training and optimizing neural networks on large-scale datasets. Familiarity with cloud computing and distributed systems (AWS, Azure, GCP) is a plus. Strong problem-solving skills and a creative mindset. Excellent communication and teamwork abilities. A portfolio of generative AI projects or publications is a strong advantage. About Gramener We create software that tells data stories. For example: We advised a global computer manufacturer to focus on order delivery time, increasing NPS by 18% and generating incremental revenue of >$50M. We helped a foundation predict mosquito release points, reducing the process time from 3 weeks to 2 hours in their mission to protect 100M lives from malaria over 5 years. We re good at what we do, which is why we re growing 40% year-over-year. We re looking for passionate innovators to help us scale further. First-hand experience with C-suite-focused business advisory in data & analytics. Opportunities to collaborate with data science experts, domain champions, and client teams, being part of transformative change. A chance to experiment, take risks, and solve meaningful problems. Supportive colleagues and a dynamic environment you ll love working in. Key Metrics for Success Solution quality and business value delivered to clients. Successful project deliveries. Customer satisfaction on engagements. Qualification : Bachelors, Masters, or Ph.D. in Computer Science, Engineering, or related fields.

Job Role: SIEM Specialist The SIEM Specialist will be responsible for implementing, managing, and optimizing Security Information and Event Management (SIEM) solutions to enhance the organization's security posture. The role involves onboarding new security data sources, collaborating with cross-functional teams, and continuously improving SIEM performance to support proactive threat detection and incident response. Experience and Qualifications: Educational Background: Bachelor s degree in Computer Science, Information Technology, or a related field (preferred). Total Experience: 7 8 years of experience in IT security with a minimum of 3 years in SIEM implementation and security data source onboarding. Experience working in large organizations or global service providers with complex infrastructures. Proficiency in deploying, configuring, and managing SIEM solutions such as Splunk, ArcSight, Chronicle (Google Security Operations), and ELK Stack. Familiarity with Cribl and regex is required. Strong knowledge of log management solutions, log parsing, and normalization techniques. Experience integrating SIEM with various data sources, including firewalls, IDS/IPS, antivirus, and endpoint solutions. Proficiency in scripting languages (e.g., Python, PowerShell) for automating SIEM tasks and data analysis. Understanding of cloud platforms (GCP, AWS, Azure) and cloud databases is desirable. Good grasp of cybersecurity principles, including threat detection, incident response, and vulnerability assessment. Strong knowledge of networking protocols, firewall rules, and network security practices for onboarding and monitoring network traffic. Excellent verbal and written communication skills for collaborating with cross-functional teams and documenting onboarding procedures. Strategic and analytical mindset with outstanding problem-solving skills to navigate complex cybersecurity landscapes. Key Responsibilities: Lead the onboarding process of new data sources into the SIEM platform, ensuring proper data normalization and correlation. Continuously improve SIEM performance, efficiency, and scalability. Maintain detailed documentation of SIEM configurations, onboarding procedures, and incident response playbooks. Collaborate with cross-functional teams to identify security requirements and integrate new security technologies into the SIEM environment. Stay informed about emerging threats, vulnerabilities, and security best practices and incorporate this knowledge into SIEM operations. Ensure that SIEM configurations and operations comply with relevant industry regulations and standards. Qualification : Bachelors degree in Computer Science, Information Technology, or a related field (preferred).

About the Role: As a Senior Software Engineer at Cargill, you will play a vital role in guiding and mentoring engineering teams on full-stack application development, modern software engineering standards, and Cargill's shared platforms and tools. You will focus on architecting, designing, and developing scalable, secure digital solutions, while driving efforts to build and operate shared services. You will contribute to Cargill s technology catalog by evaluating and migrating technologies, and implementing CI/CD tooling and automation. This is a hands-on role that emphasizes improving the developer experience and simplifying processes across Cargill's digital ecosystem. Key Responsibilities: Solution Design & Development: Apply software engineering principles to design, develop, test, and integrate software solutions, ensuring security practices are incorporated. Code Review & Mentoring: Participate in peer code reviews, coaching others, and maintaining code quality standards. Development Best Practices: Incorporate engineering best practices throughout the software development lifecycle, including coding standards, testing, and security. Continuous Improvement: Lead feedback sessions and demonstrate strategies for continuous development improvement, helping to shape the long-term vision. Collaboration & Community: Contribute to the engineering community by sharing technical insights, skills, and modern practices. Platform & Product Guidance: Advise on pragmatic architectures and implementations for platform and product engineering teams. Issue Resolution: Handle complex technical issues with minimal supervision, escalating only the most complex issues when necessary. Additional Duties: Perform other tasks as required. Qualifications: Minimum Qualifications: Bachelor s degree in a related field or equivalent experience. Proven experience automating pipelines for continuous integration, testing, delivery, and security. Experience in architecting applications, databases, services, or integrations. Minimum of four years of related work experience. Preferred Qualifications: Experience with platform engineering practices, including Infrastructure as Code, automated testing, and integration with observability tools. Leadership experience in adopting DevOps philosophies, configuration as code, and application packaging. Expertise in performance profiling, infrastructure normalization, and reducing complexity through automation. Familiarity with programming languages like Java, JavaScript, React, and Golang, with the ability to quickly learn new languages. Experience collaborating with platform teams to ensure alignment with deployment pipelines and security practices. Qualification : Bachelors degree in a related field or equivalent experience

About PhonePe PhonePe is India s leading digital payments platform, serving over 500 million registered users and 3.7 million merchants across 99% of India s postal codes. Beyond its leadership in digital payments, PhonePe has diversified into financial services such as insurance, mutual funds, stockbroking, and lending. It has also ventured into adjacent tech-enabled businesses like Pincode for hyperlocal shopping and Indus App Store, India s first localized app marketplace. The PhonePe Group is a growing portfolio of businesses united by a shared mission to provide every Indian with equal access to financial services and unlock opportunities through seamless money flow and services. Our Culture At PhonePe, we foster a work environment that empowers individuals and encourages innovation. We trust our people to take ownership from day one, empowering them to make decisions that drive real impact. If you thrive on solving complex problems, building solutions that touch millions of lives, and collaborating with some of the brightest minds in the industry, PhonePe is the place for you. Role: Finance Associate (Controllership) As part of the Finance team, you will play a pivotal role in ensuring compliance, driving process improvements, and supporting the growth of PhonePe s financial operations. You will focus on RBI reporting, reconciliations, process formalization, and audit management, while collaborating with technology teams to drive automation and system enhancements. Key Responsibilities RBI Reporting & Compliance Ensure compliance with all RBI reporting requirements and conduct periodic reviews. Revenue Reconciliation Reconcile revenue data across multiple internal systems and ensure accuracy. Process Formalization Develop and document Standard Operating Procedures (SOPs) for accounting processes, including necessary accounting treatments. Internal Control and ICFR Prepare Risk Control Matrices (RCM) for both system and manual levels. Lead Internal Control over Financial Reporting (ICFR) reviews with internal and external audit teams, recommending system and process improvements. Audit Management Manage internal and statutory audits, ensuring timely completion and closure. Variance Analysis & Reporting Submit monthly schedules and variance analysis to the Central Controllership team. Finance-Tech Collaboration Drive key programs with technology teams to develop finance-related reporting and operational requirements. Required Experience & Skills Education: Chartered Accountant (CA) with 1 2 years of experience in a Controllership role (preferably in Fintech). Technical Skills: Proficiency in MS Office and experience working with automation tools and large datasets. Soft Skills: Strong problem-solving skills and an ownership mindset. Excellent communication and influencing skills. Ability to collaborate with stakeholders and work as a team player. Qualification : CA with 1-2 year of experience in a Controllership role. Fintech experience will be preferred.