Data Integration Jobs in Mumbai

Manager - Sales Force Effectiveness (SFE) Location: Mumbai Group Company: RPG Life Sciences About the Role The Sr. Manager - SFE is responsible for driving operational excellence through data-driven insights, automation, and digital tools. This business-critical role ensures real-time KPI analysis, aligns sales activities with corporate goals, and mentors the team to enhance productivity across the organization. Key Responsibilities Strategy, Analytics & Benchmarking Align sales efforts with business objectives, including segmentation, targeting, and call planning. Monitor KPIs to evaluate sales team effectiveness and provide recommendations for improvement. Create MIS reports and dashboards for senior leadership and the PMT to ensure real-time visibility. Prepare IPM audit reports with competitor analysis and ensure EI for all brands exceeds 100% monthly. Provide market reflection summaries and insights on new product introductions. Automation, CRM & Data Quality Manage and optimize CRM platforms to support sales processes and improve productivity. Automate workflows such as call logging, sample tracking, and reporting. Oversee the integration of SFA tools with ERP and BI systems while maintaining data integrity. Train field sales teams on CRM system adoption and lead the optimization of SFA tools. Collaborate with vendors for UI/UX improvements to enhance user experience. Operations & People Leadership Optimize Travel Allowance (TA) and Daily Allowance (DA) submissions to drive a "0-deduction" culture. Provide insights on Continuing Medical Education (CME) expenditures to improve process efficiency. Mentor the SFE team on advanced tools like Excel, Power BI, and Power Query. Work with marketing, IT, and commercial teams to ensure data-driven decision-making. Address operational challenges through hands-on support and team guidance. Skills & Competencies Advanced Analytics: Proficiency in Power BI, Excel (Advanced), and Power Query. SFA Expertise: Mastery of Sales Force Automation platforms and CRM data integration. Leadership: Proven ability to coach teams and drive digital transformation. Analytical Depth: Expertise in KPI tracking, market trend interpretation, and root cause analysis. Qualifications & Experience Education: Bachelor's or Master s degree in Business, Data Analytics, or a related field. Experience: Minimum 15 years in Sales Operations, SFE, or MIS, ideally in pharma or FMCG. Track Record: Proven experience in automation, dashboarding, and team leadership. Success Metrics Timely delivery of accurate dashboards with actionable leadership insights. Measured increase in sales productivity via automation and data visibility. Reduced travel-related expenses and optimized CME processes. Development of a high-performing, continuously learning SFE team. Qualification : Bachelor's or Masters degree in Business, Data Analytics, or a related field

CHESS/ESG Data Analyst Location: Mumbai Employment Type: Full-time Reporting To: Global Head of ESG Reporting & CHESS Systems Role Summary The CHESS/ESG Data Analyst is responsible for managing, validating, and supporting ESG and CHESS data across all operating companies. This role ensures data integrity, supports assurance readiness, and drives digital optimization for ESG reporting, acting as the operational link between site teams and Group Sustainability. Key Responsibilities 1. Data Collection and Validation Coordinate and track ESG/CHESS data submissions from operating companies. Validate inputs for accuracy and compliance with Group data standards. Manage version control and evidence logs to ensure auditability. Resolve data gaps and anomalies by following up with specific sites and functions. 2. System Management and Analytics Provide user administration and troubleshooting support for Intelex. Develop automated dashboards and visualizations using Qlik Sense or Power BI. Contribute to system enhancements and the integration of internal data solutions. Support automation pilots and reporting enhancements to drive digital maturity. 3. Assurance and Compliance Support queries from external auditors with precise data extracts and documentation. Maintain organized, traceable evidence files for key ESG metrics. Coordinate the completion and validation of external ESG questionnaires. 4. Stakeholder Engagement Build collaborative relationships with divisional CHESS leads and functional teams. Serve as the primary point of contact for operational data queries and user assistance. Support training sessions to improve data ownership across the organization. Qualifications & Experience Experience: 3 6 years in data coordination, ESG reporting, or management systems. Technical Skills: Experience using Intelex is required; knowledge of Qlik Sense or Power BI is highly desirable. Core Competencies: Strong attention to detail, documentation discipline, and the ability to manage global deadlines. Role Impact Ensures traceable data to support global reporting and assurance. Strengthens the operational foundation of sustainability data systems. Improves process efficiency through system optimization.

Full Stack Developer Location: Mumbai Experience: 3 to 6 Years Qualification: Graduate Employment Type: Full-time About the Role We are looking for a highly skilled and passionate Full Stack Software Engineer to join our growing technology team. The ideal candidate will have deep expertise in Python (Django/FastAPI) on the backend, solid hands-on experience with ReactJS on the frontend, and familiarity with MongoDB and SQL databases. This role is ideal for someone who enjoys building scalable systems, designing REST APIs, and delivering full-cycle web solutions from development to deployment. Key Responsibilities Backend Development Develop scalable backend services using Python and frameworks like Django or FastAPI. Design and implement RESTful APIs that are secure, well-documented, and performance-optimized. Create and maintain automated tests for APIs (using Postman, pytest, etc.). Frontend Development Build interactive, user-centric UIs using ReactJS, including API integration, component-based architecture, and state management. Database Management Work with both MongoDB (NoSQL) and SQL (PostgreSQL/MySQL) databases. Design schemas, optimize queries, and ensure high data integrity and performance. DevOps & Cloud Deployment Deploy applications using Docker and manage deployments on AWS (EC2, S3, RDS, Lambda, etc.). Work with CI/CD pipelines to automate testing and deployment workflows. Monitoring & Logging Use tools such as ELK Stack, Prometheus, Grafana, or AWS CloudWatch for monitoring application health and logs. Support production environments, debug issues, and ensure application uptime. Collaboration & Best Practices Work closely with product managers, QA engineers, and designers to deliver features on time. Conduct peer code reviews, write clean and maintainable code, and follow secure coding practices. Required Skills Technical Proficiency Strong command of Python, especially with Django or FastAPI. Frontend development with ReactJS. Experience in REST API design and implementation. Proficient in MongoDB, PostgreSQL, or MySQL. Knowledge of ORMs, query tuning, and schema design. DevOps & Cloud Hands-on experience with AWS services. Experience with Docker and CI/CD pipelines. Testing & Monitoring Familiarity with Postman, pytest, and logging tools (e.g., ELK, Prometheus, Grafana). Soft Skills Strong problem-solving and debugging capabilities. Solid understanding of data structures and algorithms. Effective communication and team collaboration skills. Comfortable using Git and standard version control workflows. Preferred Tools & Technologies Languages/Frameworks: Python (Django/FastAPI), ReactJS, JavaScript Databases: MongoDB, PostgreSQL, MySQL Cloud/DevOps: AWS (EC2, S3, RDS, Lambda), Docker, CI/CD Tools: Postman, Git, ELK, Prometheus, Grafana Be part of a collaborative and fast-paced engineering team Build products that scale and impact users directly Opportunity to work with the latest technologies in cloud, DevOps, and frontend/backend stacks If you're a proactive developer who thrives in solving real-world problems through scalable software solutions, we d love to hear from you. Qualification : Graduate

Automation Engineer (RPA) Experience: 3+ Years Location: Mumbai Employment: Full-Time About Fynd Fynd is India s leading omnichannel platform and a tech pioneer in retail technology, AI, ML, big data, and image editing. We empower over 2,300 brands by providing a unified platform that seamlessly connects online and offline sales, store operations, inventory management, and customer engagement transforming retail experiences across industries. Role Overview We are looking for a skilled Automation Engineer / Implementation Engineer with strong expertise in RPA (UiPath preferred) to design, develop, and deploy workflow automation solutions. The ideal candidate will also leverage AI/ML to optimize processes, working closely with business and IT teams to identify automation opportunities and deliver innovative, efficient solutions that drive operational excellence. Key Responsibilities Collaborate with stakeholders to analyze and document business processes. Identify automation opportunities and integrate AI/ML enhancements where applicable. Design, develop, and maintain RPA workflows using UiPath and similar platforms. Test, debug, and deploy automation and AI/ML solutions ensuring reliability. Integrate automated workflows with existing systems and analytics tools. Provide ongoing support and improvements based on feedback and performance monitoring. Stay updated on RPA, AI, and ML trends, recommending best practices for continuous improvement. Qualifications & Skills Bachelor s degree in Computer Science, IT, Engineering, or related fields. 3+ years of experience in automation engineering or process automation roles. Proficient with RPA tools such as UiPath, Automation Anywhere, etc. Strong programming skills in VB.NET, C#, Python, or similar languages. Familiarity with AI/ML concepts and experience integrating AI/ML into automation workflows. Excellent analytical, problem-solving, and communication skills. Understanding of software development lifecycle and agile methodologies. Experience in system integration is a plus. Preferred RPA certifications. Experience or certifications in AI/ML projects. Background in implementation or consulting roles handling end-to-end automation projects. Growth: Opportunities to learn, innovate, and lead as we expand into new markets and product lines. Flex University: Access to in-house courses and reimbursement for external upskilling programs. Culture: Regular community and team-building events, plus annual celebrations. Wellness: Comprehensive mediclaim covering family, plus access to mental health support for work-life balance. We work from our Mumbai office 5 days a week to foster collaboration and teamwork. Join us to make a real impact in a dynamic, innovative environment! Qualification : Bachelors degree in Computer Science, IT, Engineering, or related fields

Deputy Vice President Data Science Location: Mumbai Function: Technology Digital and Data Sciences Employment Type: Full Time Experience: 9-10 years Key Responsibilities AI & Machine Learning: Design, develop, and deploy machine learning models for predictive analytics, natural language processing (NLP), computer vision, and recommendation systems. Lead end-to-end AI project lifecycles, including model validation, production deployment, and ongoing optimization using frameworks such as TensorFlow, PyTorch, and scikit-learn. Stay abreast of the latest advancements in Generative AI and foundational models, evaluating their applicability and integration within business solutions. Collaborate with cross-functional teams to identify AI use cases and deliver tangible business impact. Data Science & Analytics: Drive the entire analytics lifecycle, from data exploration and modeling to delivering actionable insights and developing data-driven products. Partner with data engineers and analysts to develop scalable, impactful solutions that support business objectives. Leadership & Strategy: Mentor and develop junior data science professionals, fostering a culture of continuous learning and innovation. Contribute to the organization s AI and cloud strategy by helping define the roadmap and setting long-term vision. Cloud Architecture & Engineering: Architect and design scalable, cloud-native AI and data platforms primarily on Google Cloud Platform (GCP), with knowledge of AWS and Azure as alternatives. Optimize data pipelines and machine learning workflows using cloud services such as Vertex AI, SageMaker, or Azure ML. Ensure the design and implementation of secure, cost-effective, and scalable architectures supported by robust CI/CD pipelines.

Position: IQ Analytics Manager CD COE Location: Mumbai Experience Required: 5+ Years Function: Analytics / Business Intelligence / Decision Sciences About the Role As an IQ Analytics Manager, you will play a critical role in driving business growth by uncovering the key levers that influence commercial KPIs. You ll develop and scale data-driven models that influence strategic decision-making for senior leadership, combining technical depth with business acumen to deliver actionable insights. Your work will directly support projects that enhance performance, efficiency, and execution within the CD (Customer Development) Centre of Excellence. Key Responsibilities Analytics & Insight Development Conduct in-depth quantitative analyses to understand drivers behind key commercial KPIs. Translate data into actionable insights that impact decision-making across product and business teams. Build causal and predictive models to diagnose performance issues and suggest improvement strategies. Stakeholder Collaboration Partner with product managers, commercial leads, and functional stakeholders to embed analytics into decision-making. Communicate key business trends and insights to senior leadership using structured storytelling backed by data. Solution Integration Design scalable, production-ready analytical solutions integrated into business and product workflows. Continuously monitor performance of deployed models and evolve them based on real-time business changes. Qualifications & Experience Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, or a related discipline from a reputed institute. (MBA from a top-tier institute is a plus.) Minimum 5 years of relevant experience in analytics, business intelligence, or data science roles. Core Competencies Strong business acumen with the ability to translate data into strategy. Proactive and self-motivated with a strong sense of ownership and accountability. Comfortable navigating ambiguity and driving clarity through data. Excellent communication, presentation, and storytelling skills. Ability to adapt and respond to dynamic business environments and shifting priorities. Technical Skills Required Strong command of SQL, Python, and Excel Proven expertise in statistical modelling, AI, and machine learning (including supervised & unsupervised methods) Experience in building and deploying machine learning models at scale Proficiency in data visualization tools such as Power BI, Tableau, QlikView, or Google Data Studio Work at the intersection of analytics, technology, and business strategy High-impact role with direct visibility to senior leadership Be part of a dynamic team that values innovation, ownership, and continuous learning Opportunity to solve real-world business problems at scale Qualification : Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, or a related discipline from a reputed institute

Job Title: Senior Manager Data Analytics Department: PDM Strategy & International Business Base Location: Mumbai Reporting To: Head Strategy & Analytics / Senior Leadership Team Experience Required: 10 12 Years (Relevant experience in BI, data analytics, and team management) Qualification: Bachelor's or Master s Degree in Computer Science, Data Engineering, or related field Role Overview: The Senior Manager Data Analytics will lead end-to-end Business Intelligence (BI) initiatives, with a focus on building a robust and scalable reporting platform using Power BI and the MSBI stack. The role requires deep expertise in data visualization, team leadership, ETL development, and data architecture design. This position plays a key strategic role in transforming how data is used across the organization empowering faster, data-driven decisions across functions like Sales, Investments, Risk, Compliance, and HR. Key Responsibilities: 1. BI Project Delivery & Visualization Lead and ensure timely execution of BI and data analytics projects. Deliver actionable, real-time dashboards and reports for internal business teams. Transform existing Power BI platform into a world-class analytics and visualization hub. Create dashboards that are intuitive, engaging, and built for decision support. 2. Stakeholder Engagement & Strategy Alignment Collaborate with senior leadership and functional heads to understand business problems and convert them into analytical models and reporting tools. Serve as a thought partner and SME for business users across the SBIFM landscape. Present visualizations and insights to senior stakeholders to influence strategy. 3. Team Management Lead, mentor, and manage a team of 15 20 developers and analysts focused on MSBI and Power BI. Oversee day-to-day development tasks, performance reviews, and upskilling initiatives. Foster a data-driven culture and best practices in dashboard design and reporting. 4. Data Architecture & Engineering Design and optimize backend architecture for scalability and agility using ETL tools and data warehousing techniques. Ensure strong data governance, security, and quality standards across reporting systems. Implement real-time data pipelines and integration with cloud technologies such as Azure and Snowflake (desirable). 5. Cross-Functional Collaboration Work closely with multiple departments: Sales, Operations, Finance, Compliance, Risk, and HR. Drive continuous improvement in data access, quality, and utility for all functions. Create and maintain a centralized reporting infrastructure aligned with enterprise data strategy. 6. Business Impact & Decision Support Enable smarter and faster decision-making by delivering meaningful insights. Drive revenue growth and deal conversions through better business intelligence. Support predictive analytics, customer segmentation, and performance dashboards. Mandatory Technical Skills: MSBI Stack (SSIS, SSRS, SSAS) Power BI Advanced Dashboarding and Visualization ETL Development Tools Experience with report automation, KPI frameworks, and interactive dashboards Desirable Technical Skills: SQL Programming & Data Modeling Cloud Data Platforms: Azure, Databricks, Snowflake Familiarity with data lake concepts, CI/CD pipelines, and DevOps for data analytics Key Competencies: Leadership & Team Building Strong ability to manage cross-functional data teams Business Acumen Ability to understand and align data solutions to business strategy Communication Strong presentation and stakeholder management skills Analytical Thinking Problem-solving mindset with attention to data accuracy Project Management Ability to handle multiple projects in an agile environment Job Summary: The Senior Manager Data Analytics is a strategic leadership role focused on building and managing a robust data reporting ecosystem within SBIFM. This role blends technical expertise with business intelligence to deliver impactful analytics, drive operational efficiency, and support senior leadership in data-driven decision-making. A critical enabler of growth and innovation, this position is ideal for a high-performing individual who thrives at the intersection of technology, data, and business. Qualification : Bachelor's or Masters Degree in Computer Science, Data Engineering, or related field

Data Integration Specialist Python Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across all major liquid asset classes. We are a technology-first, data-driven firm, combining deep domain expertise with advanced research and innovative tools to solve complex challenges. Our collaborative culture fuels continuous innovation and a shared commitment to delivering exceptional performance. Your Role at QRT As a Data Integration Specialist, your core mission is to manage and optimize the vast array of datasets that power QRT s research and trading platforms. You will work at the intersection of data engineering and financial markets, ensuring that structured and unstructured data from diverse sources is accessible, reliable, and efficiently integrated. Key Responsibilities Data Pipeline Management: Design, implement, and maintain robust data ingestion and integration pipelines for large-scale financial and alternative datasets. API Development: Contribute to the design and implementation of QRT s internal data store and its API for consumption by research and trading systems. Data Monitoring: Proactively monitor data health and the performance of fetching processes to ensure data quality and availability. Alternative Data Integration: Identify, onboard, and normalize non-traditional datasets into QRT s ecosystem for alpha discovery and research. User Support: Act as a point of contact for quantitative researchers and traders regarding data access, integrity, and customization needs. Required Experience & Skills Experience: 2 10+ years of relevant experience in data engineering, data integration, or financial data operations. Programming: Advanced proficiency in Python is mandatory. Experience or familiarity with C#, Rust, or JavaScript is a plus. Data Handling: Proven experience working with large-scale structured and unstructured datasets. Exposure to modern data technologies including data lakes, data mesh, or cloud-based data platforms. Finance Domain: Experience with financial instruments, market data feeds, and major data vendors (e.g., Bloomberg, Refinitiv) is advantageous. Soft Skills: Strong problem-solving and analytical skills. Ability to work independently and collaboratively in a global, fast-paced environment. Excellent English communication skills, both written and verbal. Nice to Have Prior experience in a quantitative research or trading-focused organization. Familiarity with data modeling, ETL frameworks, or real-time data streaming. What QRT Offers Work in a cutting-edge technical environment at the forefront of quantitative finance. Exposure to a diverse range of global financial data and complex integration challenges. A collaborative, intellectually rigorous culture that values innovation and continuous learning. Competitive compensation and benefits. Support for professional development, work-life balance, and diversity and inclusion.

Data Scraping Specialist Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating in all major liquid asset classes. We are a data and technology-driven firm applying a scientific and collaborative approach to investing. By integrating data science, engineering, and quantitative research, we solve complex financial challenges and deliver robust investment strategies. Role Overview As a Data Scraping Specialist, your primary objective will be to design, develop, and maintain scalable web scraping systems to support QRT s quantitative research and trading efforts. You will be responsible for managing a diverse range of data sources and working closely with researchers and traders to ensure seamless data availability and integration. Key Responsibilities Web Scraping Development: Build and maintain robust, scalable web scraping tools to extract structured and unstructured data from diverse online sources. Data Integration: Contribute to integrating internal and third-party datasets into QRT s research and trading platforms. Monitoring & Maintenance: Monitor data pipelines, ensure data health, and address failures or inconsistencies in data ingestion workflows. User Support: Collaborate with quantitative researchers and traders to understand their data requirements and provide customized data solutions. Best Practices: Apply software engineering best practices, including code quality, version control, and modular design, to scraping systems. Requirements & Qualifications Experience: 4+ years of hands-on experience in developing and maintaining web scraping frameworks. Proven ability to handle complex scraping projects at scale. Technical Skills: Strong Python proficiency is essential. Experience with scraping tools and libraries (e.g., Scrapy, Selenium, BeautifulSoup, Puppeteer). Familiarity with headless browser automation and CAPTCHA-solving techniques. Working knowledge of RESTful APIs and data pipelines. Soft Skills: Strong communication skills in English, both verbal and written. Ability to work independently and collaboratively across global teams. Demonstrated intellectual curiosity and willingness to learn new technologies. Bonus Points: Experience handling structured and unstructured data at scale. Knowledge of financial market data, including equities or derivatives. Familiarity with version control (e.g., Git), Docker, and cloud infrastructure. What QRT Offers An opportunity to work at the intersection of technology, data, and finance in a high-impact role. A collaborative and innovation-driven environment where your ideas are valued. Professional growth with access to new technologies and research applications. Competitive compensation and benefits tailored to attract top-tier talent. Work-life balance initiatives and a commitment to diversity and inclusion.

Senior Software Engineer Market Access Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT QRT is a global quantitative and systematic investment manager operating across all liquid asset classes worldwide. Driven by a scientific approach to investing, QRT integrates data, research, technology, and trading expertise to solve complex challenges and deliver high-quality returns. Our culture fosters innovation, collaboration, and continuous improvement. Your Future Role within QRT As a Senior Software Engineer on the Market Access team, you will design and develop high-performance, low-latency C++ applications critical to powering our trading capabilities. You will collaborate closely with traders, FPGA engineers, DevOps, and other technical teams to build robust systems that meet stringent performance requirements. Additionally, you will take a leadership role by mentoring peers and contributing to software engineering best practices across the team. Key Responsibilities Develop and maintain high-performance, low-latency C++ applications for trading systems on Linux. Collaborate cross-functionally with traders, FPGA engineers, DevOps, system administrators, and network engineers to deliver seamless, optimized solutions. Write clean, efficient, and maintainable code; conduct code reviews and perform debugging and performance tuning. Lead system design discussions to ensure alignment with business needs and technical feasibility. Mentor junior engineers and guide the team on software development best practices. Drive continuous improvement initiatives within the software development lifecycle and deployment processes. Your Present Skillset Extensive experience in C++ development (C++11/14/17/20) with a focus on multithreaded, high-performance applications on Linux. Proven track record designing system-level architecture for trading or other latency-sensitive, performance-critical environments. Strong expertise in low-latency programming techniques, system profiling, debugging, and performance tuning. Prior experience as a technical lead or people manager, with examples of leading and mentoring engineering teams. Familiarity with advanced debugging tools and performance analysis methodologies. Understanding of financial products, markets, and trading systems is preferred but not mandatory. We are an equal opportunity employer committed to diversity and inclusion. A collaborative, respectful environment empowering employees to succeed collectively. Initiatives to support professional growth and a healthy work-life balance.

Software Engineer Data Platform Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT QRT is a global quantitative and systematic investment manager operating across all liquid asset classes worldwide. Our technology-driven and research-focused culture enables us to solve complex challenges and deliver high-quality returns for our investors. Innovation and collaboration are at the heart of everything we do. Your Future Role at QRT We are seeking a highly skilled Software Engineer to join our Data Engineering team. You will contribute to designing, building, and scaling our data platform with a focus on developing a new data pipeline framework. Your work will directly impact our trading and research capabilities, collaborating with engineers and researchers to create robust, scalable solutions. While prior experience with financial data is a plus, it is not mandatory. We welcome talented developers from diverse backgrounds and provide comprehensive training. Key Responsibilities Design, develop, and maintain scalable and robust data services following best software engineering practices. Write automated tests to ensure reliability and support continuous delivery and integration. Maintain and scale delivery and integration pipelines. Develop reusable libraries and tools to enhance the Data Engineering team s productivity. Collaborate effectively with cross-functional teams, including researchers and engineers, to propose and implement new features in the data platform framework. Your Present Skillset Strong programming skills with a passion for software design and architecture, preferably in Python. Experience with testing frameworks and continuous integration/continuous deployment (CI/CD) pipelines. Familiarity with SQL and relational database concepts. Knowledge of modern data lake and lakehouse technologies such as Apache Iceberg, Delta Lake, or Snowflake. Excellent communication skills and ability to work collaboratively in a small, close-knit team environment. Experience with cloud platforms, preferably AWS. Fluency in English (written and spoken). Work in a technology-driven environment focused on innovation and impact. Equal opportunity employer embracing diversity and inclusion. Supportive culture encouraging professional development and work-life balance.

Senior Software Engineer Location: Mumbai, India (roles in Andheri East and / or Turbhe) Description We re hiring Senior Software Engineers to lead the design and delivery of robust, scalable, and production-grade data systems across a high-growth, multi-venture environment. This is a high-impact leadership role for someone who thrives in hands-on build mode, and who can scale technical delivery without losing speed, quality, or ownership. If this is interesting, we would love to hear from you! About Blenheim Chalcot Blenheim Chalcot India is part of Blenheim Chalcot, a global venture builder headquartered in London. With over 26 years of innovation, we've been at the forefront of creating some of the most groundbreaking GenAI-enabled companies. Our ventures lead the charge in digital disruption across a spectrum of industries, from FinTech to EdTech, GovTech to Media, and beyond. Our global presence spans the US, Europe, and Southeast Asia, with a portfolio that employs over 3,000 individuals, manages assets exceeding 1.8 billion, and boasts total portfolio sales of over 500 million. The role We re hiring Senior Software Engineers to build scalable products, tools, and systems across our portfolio companies. This is a high-impact role for someone who thrives in hands-on engineering, writes maintainable code, and is deeply motivated by solving real-world problems with technology. You ll work closely with product and engineering colleagues in both Mumbai and London, driving delivery within a specific business. If you're passionate about engineering craft, product-led development, and delivering systems that scale, we d love to hear from you. Behaviours that we look for Solve problems rigorously, not reactively - breaking them down into tractable elements and considering multiple paths to resolution. Write clean, defensive code with clear structure and minimal complexity. Think about testing and observability early, automating meaningful tests and implementing relevant metrics/logging. Design systems for operations, not just development - considering CI/CD, resilience, cost, and scalability from day one. Use data to guide decisions, validating design impact, performance, and real user outcomes. Key responsibilities Working within our Engineering Centre of Excellence in Mumbai, you can expect to: Build and maintain scalable services, data pipelines, and backend systems. Write readable, efficient code and collaborate closely in code reviews. Automate robust test coverage (unit, integration, and/or contract tests). Implement data models used by analysts and ML teams; ensure schema evolution and data integrity are maintained. Participate in system design sessions and contribute to architectural discussions. Debug production issues across multiple services and layers of the stack. Contribute to CI/CD pipelines and infrastructure-aware development practices. Opportunity This is an excellent opportunity for experienced engineers looking to step up their scope and impact. You ll join a collaborative team with exposure to modern engineering practices, GenAI-enabled systems, and business-critical data products. You'll be part of a global network, shaping real customer outcomes. About you We are seeking to onboard candidates with a proven track record in engineering, demonstrating strong technical leadership skills and a passion for building high-quality, scalable products. Excellent teamwork, adaptability, and a strategic mindset are essential to being successful in this role. The Ideal Candidate We are looking for candidates who bring: Strong proficiency in at least one modern programming language (e.g., Python, Java). Experience with both SQL and NoSQL databases; schema design and query optimisation. Comfort with cloud platforms such as AWS or Azure (e.g., S3, Redshift, Glue, Synapse). Familiarity with CI/CD practices, automated testing, and observability. Knowledge of data structures, algorithms, and their real-world trade-offs. A proactive mindset: ready to take ownership, iterate fast, and learn continuously. Great communication and teamwork skills particularly in cross-functional settings. Process We have a rigorous, but streamlined recruitment process, which respects the time of candidates and portfolio companies alike. This process starts with a 15-minute call with a member of our Talent Acquisition team, followed by a meeting with representatives from BC's Engineering Centre of Excellence. Please note that our roles are primarily office based, with modern and well-connected office locations in both Andheri East and Navi Mumbai.

SAP PP (Quality Management) Consultant Job Description Role and Responsibilities: Cross-Integration Workshops: Engage in cross-functional workshops that integrate inventory, manufacturing, and finance processes to ensure seamless SAP Quality Management (QM) solutions. Documentation: Prepare comprehensive Functional and Technical Specifications to ensure smooth execution and integration of quality management processes. Integration Testing: Participate actively in integration testing to validate the SAP QM solution and ensure that it aligns with business requirements. UAT Support: Provide support for User Acceptance Testing (UAT) to ensure that the implemented solution meets business needs and user expectations. Business Cutover Enablement: Assist in business cutover activities, ensuring the transition to the new system is smooth and efficient. QM Master Data: Demonstrate full experience and expertise in managing all aspects of QM Master Data, ensuring its accuracy and consistency. Quality Inspections: Provide in-depth knowledge of quality inspection processes during goods receipt, both for production orders and purchase orders. QM Notifications: Handle various types of QM notifications, including vendor notifications, internal notifications, and customer notifications. Deep knowledge of Certificate of Analysis is essential. Communication: Maintain effective communication with business users and technical teams to ensure successful implementation and issue resolution. Work Experience: 2-6 years of relevant experience in SAP Quality Management (QM), with a focus on integration and operational support. Hands-on experience with QM Master Data, quality inspections during goods receipt, and managing different QM notifications. Knowledge and experience in working with Certificate of Analysis and related processes. Strong communication skills, with the ability to effectively collaborate with cross-functional teams. Location: Mumbai (onsite) About Castaliaz: Castaliaz has been a trusted partner for implementing SAP applications across SMEs and large enterprises for over a decade. We are recognized as one of the Top 10 SAP implementation partners in India. With a proven track record in SAP Cloud, Rise with SAP, S/4HANA, Fiori, Ariba, and Digital Compliance (GST, E-Invoicing, E-way Bill), we help businesses through the full lifecycle of SAP implementation and management. Our time-tested approach has been embraced by our loyal clients across India.

Position: DP Operations Experience Required: 5+ years Educational Qualification: Graduate/Post Graduate Key Responsibilities: DIVS & Batches Management: Handle DIVS as a Checker (Authorizer) and manage the upload of DIVS batches in NSDL/CDSL. Monitor GAP reports and oversee the issuance and batch uploads in E-DPM. Transaction Authorization: Authorize daily requests for Dematerialization, Rematerialization, Conversion, and Reconversion redemption as the checker. Issue Resolution: Address system errors related to back-office batches and resolve transaction issues by coordinating with vendors and CDSL. MIS Reporting: Prepare daily transaction MIS and ensure proper transaction reconciliation. MIS Publication: Maintain and publish daily MIS reports covering account openings, transactions, demat/remat, pledging, unpledging, and fund payouts for management review. Audit Coordination: Collaborate with internal auditors to address discrepancies or issues related to transactions. FTR & TAT Reporting: Prepare and present monthly FTR and TAT reports for top management and business teams. Regulatory Compliance: Stay updated with and implement regulatory circulars in daily operations. Billing and Reconciliation: Generate monthly billing in the iBeats system and reconcile with CDSL billing. Perform stamp duty charges reconciliation with DP billing and the CDSL stamp duty file. Transaction Statements: Prepare monthly bill cum transaction statement schedules in Bizmail iBeats System and maintain proper logs for audit and inspection purposes. Compliance Reporting: Submit required compliance reports (IAR, RAT, BO grievance, etc.) to the compliance team. Client & Branch Support: Attend to and resolve client and branch requests raised via email. Location: Kalina, Mumbai (Work-from-Office) Qualification : Graduate/Post Graduate

Position: Assistant Manager/Manager MIS Experience Required: 4+ years Educational Qualification: Graduate (Commerce) / Post-Graduate (Finance) Key Responsibilities: MIS Development & Maintenance: Design, develop, and maintain the organization's Management Information System (MIS) to ensure timely and accurate data availability for decision-making. Data Management Policies: Develop and implement data management policies and procedures to ensure the integrity, security, and compliance of data with regulatory standards. Cross-Department Collaboration: Work closely with different departments to understand their data needs and provide guidance in establishing efficient processes for data collection, storage, and retrieval. Data Quality Assurance: Conduct regular data audits to identify and resolve issues, ensuring the data used for reporting and analysis is accurate and reliable. System Integration Management: Collaborate with IT teams and external vendors to manage system integrations and ensure smooth data interfaces between business applications. Location: Kalina, Mumbai (Work-from-Office) Prerequisites: Excellent verbal and written communication skills to engage with stakeholders at various levels. Strong knowledge of database management systems such as SQL and Oracle (additional knowledge is a plus). Proficient in data analysis tools and software, including Microsoft Excel, Power BI, or Tableau. Solid expertise in database management and data analysis.

Snowflake Developer Location: Mumbai Experience: 6+ years Key Responsibilities: Design & Development: Design and develop data models, schemas, and pipelines in Snowflake. ETL/ELT Implementation: Implement ETL/ELT processes using Snowflake Snowpipe, Streams, and Tasks. Performance Optimization: Optimize query performance, indexing, clustering, and partitioning for large datasets. Stored Procedures & UDFs: Develop stored procedures, UDFs, and views to support business logic. Security & Governance: Manage Snowflake security, role-based access control (RBAC), and data governance. Integration: Integrate Snowflake with various data sources using Python, AWS/Azure/GCP, or ETL tools like Informatica, dbt, Talend, etc. Best Practices: Implement best practices for data warehousing, data lake, and real-time analytics. Collaboration: Work closely with Data Engineers, BI teams, and Analysts to support reporting and analytics. Requirements: Experience: 6+ years of experience working with Snowflake and cloud data platforms. SQL Expertise: Strong expertise in SQL, performance tuning, and optimization. ETL/ELT Tools: Experience with ETL/ELT tools such as dbt, Matillion, Talend, or Informatica. Cloud Platforms: Familiarity with cloud platforms (AWS, Azure, or GCP) and services like S3, Lambda, Data Factory, or Cloud Functions. Data Modeling: Knowledge of data modeling concepts (Star Schema, Snowflake Schema, Fact & Dimension Tables). Scripting: Experience with Python/Shell scripting for automation and data transformations. CI/CD: Understanding of CI/CD for Snowflake development using Git, Terraform, or dbt. Security & Compliance: Strong knowledge of Snowflake security, access controls, and compliance standards. Communication: Excellent communication skills to effectively collaborate with cross-functional teams. If you're a skilled Snowflake Developer looking to work in a dynamic environment and bring innovative solutions to the table, apply now for the position in Mumbai!

About This Role Business Unit Overview: The Marketing and Sales Operations (MSO) team is a key part of the US Wealth Advisory business. We partner with various teams, including Product Marketing, EII, Retirement, and Global Marketing. Our support model is centered around a Digital First mentality, enabling a scaled digital experience through the following offerings: Marketing Material Development and Updates Content Delivery & Management Reporting & Oversight Sales Support & Miscellaneous Web Publishing Job Purpose/Background: We are looking for an organized, detail-oriented, and enthusiastic communicator to help create, improve, and maintain content on market trends, portfolio construction, and practice management. This role will focus on the creation, improvement, maintenance, and publication of content across various media formats, including PowerPoint presentations, print/PDF documents, website content, web articles, and tools. The individual will collaborate closely with data providers, marketing, compliance, design, and web publishing teams to manage a robust content suite and ensure its effective delivery to BlackRock Sales, advisors, and end clients. The candidate will be able to manage multiple simultaneous projects, ensuring timely completion, while keeping an eye on the design and quality of content. Key Responsibilities: Create, Update, and Maintain Content: Sourcing and updating data, collaborating with design, working with the legal team for review/approval, and uploading content to websites and other dissemination platforms. Content Management: Monitor and manage content across platforms to ensure it is up-to-date, orderable, and available on both internal and external websites, and approved by partner firms. Website and Web Page Updates: Partner with the broader team and web publishing to enhance and execute updates to team web pages, including direct publication of small changes. Automation Tools: Use automation tools to assist in updating content and distributing it across relevant channels. Timely Delivery: Ensure all tasks are completed on time with high accuracy, meeting deadlines and managing workload efficiently. Process Improvement: Evaluate systems, processes, and procedures to identify inefficiencies and make recommendations for improvement. Collaboration: Assist with ad-hoc projects and work independently when required, while also assisting team members as needed. Qualifications: Educational Background: MBA or Bachelor s degree in Marketing, Finance, Communications, or Journalism. Technical Skills: Experience with Adobe Creative Suite, Power BI, VBA, SQL, Data Analytics, and CMS tools (e.g., TeamSite) is a plus. Industry Knowledge: 3+ years of experience in the investment/asset management industry is a plus. Familiarity with the growing demand for alternative investments and their role in diversifying against traditional fixed-income securities is beneficial. Skills and Competencies: Team Player: Excellent attitude with attention to detail, strong verbal/written communication skills, and the ability to collaborate with internal and external partners at all levels. Tech-Savvy: Eager to harness new techniques and tools to improve workflows, especially in reporting and content delivery. Adaptability: Comfortable with change and fast-paced, rapidly evolving work environments. Time Management: Highly organized with strong focus on meeting deadlines and managing multiple priorities. Data Integrity: Values the importance of quality data and strives to maintain its accuracy in all systems. Critical Thinking: Strong problem-solving skills and the ability to think critically when facing challenges. Flexible Shift Timings: Open to flexible work hours, as required. Our Benefits To help you stay energized, engaged, and inspired, we offer a wide range of benefits, including: Strong Retirement Plan Tuition Reimbursement Comprehensive Healthcare Support for Working Parents Flexible Time Off (FTO) to relax, recharge, and be there for the people you care about. If you're a self-motivated individual with a passion for content creation and management, and you're looking for a collaborative environment where you can make a significant impact, this role at BlackRock may be the perfect opportunity for you. Qualification : MBA or Bachelors degree in Marketing, Finance, Communications, or Journalism.

Job Title: Data Collection Transformation Senior Associate Location: Mumbai Experience: Relevant experience in data acquisition, ESG data management, process automation, and data quality. Company: MSCI About MSCI: MSCI is a global leader in decision-support tools and services for the investment community. With over 50 years of expertise in research, data, and technology, we help clients understand key drivers of risk and return, enabling them to build more effective portfolios with enhanced transparency. At MSCI, we foster a culture of innovation, high performance, and inclusion, empowering our people to grow their careers through continuous learning and a wide range of internal mobility opportunities. Your Team: The ESG Data Collection team plays a critical role in acquiring, validating, and maintaining high-quality ESG data that powers MSCI s ESG products. As part of this team, you will work at the forefront of MSCI s ESG transformation agenda, driving projects that enhance data quality, scalability, and automation to meet the evolving ESG landscape and its growing importance in global financial markets. Your Key Responsibilities: Collaborate with internal ESG Research and Technology teams to design and operationalize data collection processes aligned with evolving ESG and Climate frameworks. Work on electronification of ESG policies and principles by converting them into structured, operational data definitions. Develop data collection templates and translate them into implementable data models. Conduct hands-on research and analysis of company disclosures to support scalable data collection solutions. Analyze collected and third-party datasets to detect patterns and trends, enabling development of automated anomaly detection frameworks. Design and implement contextual/thematic QA checks to strengthen data quality controls, leveraging historical data correction patterns. Collaborate with technology teams to build NLP-driven data extraction models (leveraging both traditional methods and LLMs) to automate identification and extraction of relevant ESG facts from disclosures. Help establish and optimize new data collection processes while ensuring seamless integration with existing workflows. Deliver high-quality data aligned with MSCI methodology, service-level agreements, and regulatory requirements. Contribute to creating methodology and SOP documentation, embedding data and content expertise into internal processes. Drive process automation by developing tools and systems for automated data quality diagnostics, reducing manual intervention. Build dashboards and reports to visualize data quality metrics, identify outliers, and provide data-driven recommendations to stakeholders. Partner with internal stakeholders, including downstream teams, Research, and Product teams, to understand data requirements and ensure seamless delivery. What We re Looking For: Strong analytical mindset with a keen attention to detail. Hands-on experience with Python/SQL for data analysis and process automation; exposure to Machine Learning/RPA is a plus. Experience working with visualization tools such as Power BI. Advanced Excel skills, with the ability to manipulate and analyze complex datasets. Self-starter with strong problem-solving abilities, capable of working in unstructured environments. Strong collaboration and communication skills, with comfort working across hierarchies, functions, and geographies. Previous experience in Financial Services, Technology, or Business Analysis, ideally with exposure to ESG data. Basic understanding of financial markets and asset classes; ESG knowledge would be a significant advantage. Preferred Qualifications: Bachelor s or Master s degree in Finance, Economics, Environmental Science, Data Science, Business, or a related field. Certifications in ESG, Sustainable Finance, or Data Analytics are a plus. What We Offer: Transparent compensation and comprehensive benefits tailored to your location. Flexible work options and access to cutting-edge technology. A culture of learning and development, with access to LinkedIn Learning Pro and Learning@MSCI. Clear career progression paths with opportunities for internal mobility and leadership development. A global network of talented colleagues, supported by inclusive Employee Resource Groups like Women in Tech, Climate Action Network, and more. Qualification : Bachelors or Masters degree in Finance, Economics, Environmental Science, Data Science, Business, or a related field.

Real Assets Data Analyst Job Description About the Role As a Real Assets Data Analyst at MSCI, you will be part of our Real Assets Data team, supporting real estate performance analysts in delivering real estate indexes, performance benchmarks, and customized analysis to global asset managers and asset owners. Key Responsibilities Track and monitor commercial real estate transactions from news sources and third-party data providers. Manage a portfolio of clients and/or funds, ensuring data accuracy and alignment with methodologies. Respond to client inquiries, analyze fund data, and apply necessary corrections based on MSCI s methodologies. Deliver custom performance analyses and reports as requested by clients. Collaborate with internal teams and local market experts to maintain high data quality and client satisfaction. Contribute to assigned projects, ensuring timely delivery. Identify opportunities for process improvements and drive operational efficiencies. Apply analytical and problem-solving skills to enhance workflows and processes. Skills & Qualifications Strong foundation in accounting and finance. Proficiency in MS Excel; knowledge of VBA or Python is a plus. Experience 0-4 years of experience in financial services or a related field. Education Bachelor s degree in finance, accounting, economics, engineering, or a related field. About MSCI MSCI is a leading provider of decision-support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, MSCI empowers clients to make better investment decisions by providing insights into risk, return, and portfolio transparency. Qualification : Bachelors degree in finance, accounting, economics, engineering, or a related field.

Role: Marketing Technology Manager Function/Department: HPE Experience: 5 to 10 Years Education: Any Graduate / Postgraduate Job Purpose: We are seeking a Marketing Technology Manager to enhance our B2C campaign efforts within Salesforce Marketing Cloud (SFMC). The ideal candidate will play a key role in executing BAU campaigns across multiple channels while building a cutting-edge marketing technology stack that aligns with our Customer First approach. Key Responsibilities: Campaign Development & Execution: Design and implement B2C marketing campaigns across Email, SMS, WhatsApp, Push Notifications, Journeys, Landing Pages, and Forms using SFMC modules such as Email Studio, Automation Studio, Journey Builder, Contact Builder, and Content Builder. Optimize existing campaigns for better engagement and performance. Data Management & Integration: Understand database architecture, including primary/foreign keys and data relationships. Create and update data extensions to support personalized campaign requirements. Develop responsive web cloud pages for landing pages and survey forms. Testing & Optimization: Implement a robust testing process before releasing new features/scripts. Continuously monitor and fine-tune features to enhance performance. Enforce email best practices and standard naming conventions. Marketing Technology & Strategy: Assess the current MarTech architecture and identify gaps for improvement. Coordinate with stakeholders and external agencies to enhance the digital marketing stack. Oversee data security, product enhancements, and compliance. Performance & Process Improvement: Ensure high performance and uptime of the marketing technology stack, aligning with department KPIs. Champion agile development to streamline operational processes. Exciting opportunity to work with advanced marketing technology. Collaborate with industry leaders in digital transformation. Make a real impact by driving customer-centric marketing strategies. If you're passionate about MarTech innovation, Salesforce Marketing Cloud, and data-driven campaigns, apply now and be a part of our dynamic team!