Data Warehousing Jobs in Mumbai

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.

Position: Data Analyst Collections Location: Mumbai Qualification: Graduate Experience: 3 to 6 years Job Description: We are looking for a Data Analyst Collections to join our team. This role involves analyzing and interpreting data from multiple sources to provide actionable insights and support decision-making. You will be responsible for reporting, system management, process improvement, and collaborating cross-functionally to drive performance improvements. Key Responsibilities: Data Analysis & Reporting: Collect and analyze data from various sources to identify trends, patterns, and key insights. Prepare daily, weekly, and monthly operational reports as well as client-specific reports. Design and manage interactive dashboards to track key performance indicators (KPIs) and provide insights for management decision-making. System Management: Oversee the daily operation and maintenance of information systems, ensuring smooth and secure data handling. Ensure the accuracy, security, and integrity of all databases. Provide support for troubleshooting and resolving any system-related issues. Process Improvement & Automation: Identify and implement opportunities to enhance reporting processes and system efficiency. Automate repetitive tasks and processes using advanced Excel functions (VBA, Macros), SQL, and BI tools such as Power BI or Tableau. Strategic & Cross-Functional Support: Collaborate with various departments to understand data requirements and deliver customized reports. Monitor compliance with Service Level Agreements (SLAs), internal controls, and regulatory standards. Provide technical support to enhance decision-making and business performance across teams. Key Qualifications & Skills: Technical Expertise: Advanced proficiency in MS Excel (functions, VBA/Macros), SQL, Tableau, Power BI, and database management systems. Analytical Skills: Strong ability to process large datasets, identify trends, and derive actionable insights. Regulatory Knowledge: Familiarity with debt collection laws, compliance requirements, and reporting standards (preferred for roles related to collection or finance MIS). Communication Skills: Ability to clearly present data insights to both technical and non-technical stakeholders. Qualification : Graduate

Job Title: Junior Data Center Engineer Location: Mumbai Experience: 1-5 Years Job Summary: We are looking for two enthusiastic and technically adept Junior Data Center Engineers to support the day-to-day operations at our Mumbai data center. Under the guidance of a Senior System Administrator, the ideal candidates will assist in hardware installations, monitoring, troubleshooting, and maintaining both physical and virtual infrastructure. Key Responsibilities: Hardware Installation & Maintenance: Assist in the installation and maintenance of servers, network devices, and racks. Environment Monitoring: Monitor key data center environmental factors such as temperature, humidity, and power to ensure optimal conditions. Troubleshooting: Perform basic troubleshooting of hardware and network issues, escalating more complex problems as needed. Remote Hands Support: Provide support for remote hands requests and coordinate with internal teams for resolutions. Inventory Management: Maintain accurate inventory of IT assets and ensure proper documentation for all equipment. Patching & Cabling: Assist in the patching, cabling, and labeling of equipment for organization and efficiency. Incident Handling: Follow SOPs for incident handling, escalation, and reporting to ensure smooth operations. Security & Compliance: Ensure compliance with physical security and access protocols for the data center. Scheduled Maintenance & Upgrades: Participate in scheduled maintenance and upgrades of data center infrastructure. Technical Skills: Operating Systems: Basic understanding of Windows and Linux operating systems. Networking: Familiarity with networking concepts such as IP, DNS, DHCP. Virtualization: Exposure to virtualization platforms like VMware and Nutanix (preferred). Data Center Operations: Knowledge of data center hardware components and operations. Monitoring & Ticketing Tools: Experience working with monitoring tools and ticketing systems. Hardware Handling: Comfort with hardware handling, cabling, and labeling. Soft Skills: Communication: Good communication and interpersonal skills to effectively collaborate with internal teams and vendors. Willingness to Learn: Eagerness to learn and adapt to new technologies in the data center environment. Attention to Detail: Strong attention to detail with a focus on documentation and operational accuracy. Adaptability: Ability to work in shifts and handle pressure in a fast-paced environment. Team Player: Proactive and collaborative attitude to contribute effectively to team success. Preferred Qualifications: Education: Diploma or Bachelor s degree in Computer Science, IT, or a related field. Certifications: Certifications such as CCNA, CompTIA A+, or equivalent (preferred but not required). Dynamic Environment: Be part of a fast-paced and innovative data center team, supporting critical infrastructure operations. Learning Opportunities: Gain hands-on experience in both physical and virtual environments with exposure to cutting-edge technologies. Growth Potential: Opportunity to expand your skill set and grow within a rapidly evolving field. Qualification : Diploma or Bachelors degree in Computer Science, IT, or a related field

Position Title: Senior Vice President Data, AI & Cloud Location: Mumbai Department: Technology Role Overview We are seeking a visionary technology leader to serve as Senior Vice President Data, AI & Cloud, responsible for architecting and executing our enterprise-wide data, AI/ML, and cloud strategy. This is a transformative leadership role that combines deep technical expertise with strong business acumen to drive innovation, operational efficiency, and intelligent decision-making across the organization. You will lead platform modernization, enable large-scale AI/ML adoption, and optimize cloud infrastructure, all while building a culture where data and AI are embedded in everyday decision-making. The ideal candidate will be both a strategic thinker and a hands-on technologist capable of translating cutting-edge developments like generative AI and LLMs into practical enterprise applications. Key Responsibilities Strategic Leadership Define and implement a cohesive strategy across Data, AI/ML, and Cloud aligned with enterprise objectives. Drive AI democratization by embedding intelligence in core workflows and decision systems. Champion a data-driven, innovation-first culture across both business and technology teams. AI Advocacy & Adoption Act as the internal evangelist for AI leading awareness, education, and enablement initiatives. Partner with cross-functional teams (product, credit, operations, etc.) to co-create impactful AI solutions. Translate advanced AI technologies (LLMs, generative AI, agentic workflows) into scalable enterprise applications. AI/ML Delivery & Innovation Lead end-to-end development and deployment of AI/ML solutions across key areas: credit scoring, collections, fraud detection, automation, and customer insights. Promote the adoption of LLMs and generative AI to power personalization and intelligent decisioning systems. Institutionalize MLOps, Infrastructure-as-Code (IaC), and model observability practices. Data Platform & Governance Overhaul and modernize data architecture with real-time, scalable, cloud-native solutions. Establish and enforce robust data governance, data quality, privacy, and compliance practices (aligned with RBI and other regulatory norms). Cloud Infrastructure & Optimization Architect and maintain a secure, scalable, cost-optimized AWS environment. Implement best-in-class DevOps, Infrastructure-as-Code, and monitoring practices using tools like Terraform, Kubernetes, and Cloud-native observability suites. Team & Capability Building Build and lead high-performing teams across Data Engineering, ML Engineering, and Cloud Operations. Mentor and inspire talent to drive innovation and cross-functional collaboration. Technology Stack AI/ML: Python, TensorFlow, PyTorch, MLflow, LangChain, LLMs, Agentic Workflows Cloud (AWS): S3, EKS, ECR, Lambda, CloudWatch, CloudTrail, IAM, SageMaker, Bedrock Databases: RDBMS, Amazon Redshift, MongoDB DevOps & Infrastructure: Terraform, Kubernetes, CI/CD tools, ETL pipelines Desired Candidate Profile 12+ years of progressive experience in data engineering, AI/ML, and cloud infrastructure roles, with at least 5 years in a leadership capacity. Proven success in leading data platform modernization and delivering enterprise-scale AI solutions in regulated industries preferably financial services. Deep hands-on expertise with Python, ML frameworks (TensorFlow, PyTorch), MLOps tools (MLflow), and generative AI platforms (LangChain, LLMs). Strong understanding of financial data, credit models, risk analytics, and compliance requirements (including RBI regulations). Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or a related field. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field

Data Scientist Location: Mumbai Experience: 2 7 years Employment Type: Full-Time About the Role We are looking for a highly skilled and motivated Data Scientist to join our team in Mumbai. The ideal candidate will have a strong background in data science, machine learning, and big data technologies, with the ability to draw actionable insights from complex data sets. If you're passionate about solving real-world problems using data and AI, and thrive in a fast-paced, collaborative environment we want to hear from you. Key Responsibilities Design and implement processes to collect and aggregate data from multiple sources. Clean, normalize, and prepare large datasets for analysis. Apply statistical methods and machine learning techniques to uncover insights and drive business decisions. Build scalable data pipelines and frameworks to manage large volumes of data. Work cross-functionally to develop innovative products, reports, and features aligned with business needs. Translate analytical findings into clear, actionable recommendations. Desired Candidate Profile 2 7 years of relevant experience in data science or related fields. Proficiency in Python, R, and SQL. Strong grasp of machine learning, AI, and natural language processing (NLP). Experience with big data technologies and handling large datasets. Excellent knowledge of algorithms, mathematics, and statistics. Ability to thrive in a dynamic, challenging environment. Strong problem-solving and communication skills. High attention to detail and analytical rigor. Opportunity to work on cutting-edge data-driven solutions. Collaborative and innovative work culture. Chance to shape impactful products and features in real-world applications. Career growth and learning in advanced data technologies and AI.

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.

Deputy Vice President Data Science Location: Mumbai Function: Technology Digital and Data Sciences Employment Type: Full Time Role Overview We are seeking a seasoned and innovative Deputy Vice President Data Science to lead cutting-edge AI and data science initiatives. The ideal candidate will drive the development and deployment of machine learning models, architect cloud-native AI platforms, and guide strategic transformation through advanced analytics. This role requires strong leadership, deep technical expertise, and the ability to collaborate across business and technology teams to deliver measurable impact. Key Responsibilities AI & Machine Learning: Design, develop, and implement advanced machine learning models for predictive analytics, NLP, computer vision, and recommendation engines. Lead end-to-end AI project lifecycles, including model validation, productionization, and continuous optimization using frameworks like TensorFlow, PyTorch, and scikit-learn. Stay current with the latest developments in Generative AI, foundation models, and LLMs; evaluate and integrate them into solutions where applicable. Identify and prioritize AI use cases in collaboration with cross-functional teams to create business value. Data Science & Analytics: Lead the complete analytics lifecycle from data exploration and model building to insight generation and product deployment. Work closely with data engineers and analysts to develop scalable, high-impact solutions that influence business outcomes. Leadership & Strategy: Mentor and develop junior team members, promoting a culture of learning, experimentation, and excellence. Contribute to enterprise-wide AI and cloud strategies, including vision setting and roadmap development. Cloud Architecture & Engineering: Architect and implement cloud-native AI and data platforms on GCP (preferred), with working knowledge of AWS or Azure. Build and optimize scalable ML workflows and data pipelines using platforms like Vertex AI, SageMaker, or Azure ML. Ensure secure, scalable, and cost-effective infrastructure, supported by CI/CD pipelines and MLOps best practices. Required Skills & Qualifications Technical Proficiency: Strong coding skills in Python and SQL. Expert-level knowledge of ML frameworks: TensorFlow, PyTorch, Hugging Face, scikit-learn. Practical experience with Large Language Models (LLMs), vector databases, and Retrieval-Augmented Generation (RAG) techniques. Cloud & Engineering: Proficient in designing solutions on Google Cloud Platform (GCP); experience with AWS or Azure is a plus. Familiarity with data tools like BigQuery, Kafka, Snowflake. Strong knowledge of MLOps, including CI/CD pipelines, model monitoring, and A/B testing frameworks. Governance & Ethics: Solid understanding of data privacy, governance, and responsible AI principles.

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

Position: Executive Freight Operations Location: Mumbai, India Department: Agri Commodities Logistics Company: Tata International Limited About Tata International Tata International Limited (TIL) is a leading trading and distribution company with a legacy spanning over 60 years. Operating in more than 29 countries, TIL is involved in diverse verticals such as trading, distribution, manufacturing, and retail. Guided by the Tata Code of Conduct and built on the values of Pioneering, Integrity, Excellence, Unity, and Responsibility, we foster a culture of ethical leadership, inclusion, and continuous growth. Job Purpose The role involves managing container freight, bulk, and break bulk shipping operations for the Agri Commodities division. The candidate will handle end-to-end freight booking, shipping documentation, cost optimization, and coordination with global stakeholders to ensure seamless trade execution. Key Responsibilities Container Freight Booking & Ocean Logistics (80%) Secure container freight bookings at competitive rates, staying within or below budget benchmarks Develop and maintain freight rate forecasts for key origins (Brazil, Myanmar, India) Negotiate demurrage and detention waivers to protect trade margins Address daily logistics challenges including container availability, prioritization, and schedule adherence Ensure timely freight payments with full audit compliance Build strong relationships with shipping lines to ensure rate advantages and container availability Collaborate with global commercial teams to create shipment plans and freight booking strategies Generate and publish daily/weekly/monthly MIS reports on shipment updates, freight trends, budget vs. actuals, and performance analysis Bulk / Break Bulk Shipping & Vessel Operations (20%) Manage post-fixture operations and execute charter party contracts Monitor vessel schedules, loading/discharge progress, and stowage plans; perform laytime tracking and analysis Prepare and manage shipping documentation: BLs, NORs, LOIs, and laytime calculations Execute freight settlements and voyage accounting; handle close-out formalities Coordinate with ports, shipping agents, and P&I Clubs to resolve operational issues Support voyage planning and freight differential estimation for chartering strategy Educational Qualifications Graduate degree with specialization or certification in Chartering, Container Freight Logistics, or Post Fixture Operations Experience & Skills Required 10+ years of hands-on experience in container shipping or vessel operations Expertise in freight booking, chartering, and contract execution Strong commercial understanding of international shipping legal frameworks In-depth knowledge of container logistics, supply chain processes, and freight markets Excellent negotiation, analytical, and coordination skills Proficiency in MS Excel, ERP systems, and shipping platforms Strong interpersonal and cross-functional communication skills Meticulous in planning and cost optimization Industry Preference Experience with carriers, booking agents, freight forwarders, or logistics/supply chain firms Exposure to commodity shipping, especially wheat, rice, pulses, or similar agri products Be part of a globally respected organization with strong values and ethical practices Work in a high-impact, cross-functional role that bridges logistics and commercial strategy Gain exposure to international shipping and agri commodities trade Thrive in a collaborative, growth-oriented environment with global opportunities Join Tata International and drive global freight excellence. Apply now to contribute to world-class logistics and trade operations. Qualification : Graduate degree with specialization or certification in Chartering, Container Freight Logistics, or Post Fixture Operations

Position: Data Analyst Location: Mumbai, India Division: Data & Analytics / Marketing About the Role As a Data Analyst within the Blenheim Chalcot portfolio and Oakbrook, you will be crucial in driving data-driven insights for our consumer lending business. You will analyze marketing performance across direct and third-party aggregator channels, helping optimize spend and strategy. Your work will involve building and maintaining dashboards (SQL, Power BI), monitoring campaign and product performance, and ensuring channel efficiency. Key Responsibilities Campaign & Channel Performance Analysis Track and analyze marketing campaigns (paid search, social, email, display, aggregators). Measure key conversion metrics: impressions → clicks → applications → approvals → disbursals. Identify underperforming campaigns/channels and recommend improvements. Aggregator Performance Monitoring Monitor lead volume, quality, and conversion rates from aggregators (e.g., Clear Score, Compare the Market). Benchmark aggregator ROI and provide actionable insights for partner management. Product Performance Tracking Analyze application, approval, and disbursal trends by product type. Segment performance by demographics, channel, and credit risk tiers (prime, near-prime, non-prime). Identify opportunities for product/pricing optimization. Dashboard Development & Reporting Design and maintain interactive dashboards using SQL and Power BI. Ensure data accuracy and real-time performance tracking. Present weekly/monthly reports and insights to marketing, finance, and product teams. Customer Journey & Funnel Analysis Analyze drop-off points in the customer journey. Collaborate with CRO and UX teams to improve application flows. Support A/B testing with data analysis. Marketing Data Governance Ensure campaign tagging and data standards across platforms (GA, CRM, ad networks). Collaborate with data engineering on data quality and pipeline improvements. About You Technical Skills: Advanced SQL skills (complex queries, joins, CTEs) on relational databases (Snowflake, Big Query, Redshift). Proficient in Power BI (dashboard design, KPI visualization, DAX calculations). Strong Excel/Google Sheets skills (pivot tables, VLOOKUP/XLOOKUP, array formulas). Data cleaning and preparation expertise; familiarity with Alteryx or Python/Pandas is a plus. Understanding of UTM tracking, campaign attribution models, and analytics platforms (Google Analytics, Adobe Analytics). Experience with A/B testing and statistical analysis. Familiarity with CRM and marketing platforms (Google Ads, Meta, email/SMS tools). Awareness of GDPR and data governance best practices. Non-Technical Skills: Commercial awareness in lending context (customer acquisition cost, ROI, bad debt rates). Ability to translate data insights for non-technical stakeholders (marketing, finance, compliance). Strong attention to detail and problem-solving mindset. Excellent time management balancing regular reporting and ad-hoc analysis. Curious and proactive in identifying trends and opportunities. Collaborative working style across marketing, product, risk, and data teams. About Blenheim Chalcot & Oakbrook Blenheim Chalcot is a world-leading digital venture builder with over 26 years of experience creating disruptive businesses in FinTech, EdTech, GovTech, and more. Our India team plays a vital role in our success, fostering innovation and entrepreneurship since 2014. Oakbrook, a fast-scaling FinTech venture in our portfolio, leverages advanced analytics and technology to provide personalized consumer lending solutions. We aim to simplify borrowing with fair, data-driven credit access tailored to individual customers. Join the world s leading digital venture builder. Work with a diverse, talented team in a culture of continuous learning and innovation. Opportunity to work on Gen AI-enabled cutting-edge solutions. A fun, open, and cricket-enthusiast environment (home of Rajasthan Royals IPL team!). 24 days annual leave + 10 public holidays. Private medical insurance for you and your family & life insurance coverage. Our Commitment We value diversity and inclusion, fostering a culture where everyone s skills and talents can thrive. We recruit, develop, and promote based on merit and competence, driven by curiosity and collaboration. Join us to make an impact in a data-driven, fast-paced environment.

Position: Lead Data Engineer Location: Mumbai, India (Hybrid 4 days onsite) Division: Engineering | Full-Time About Blenheim Chalcot Blenheim Chalcot is one of the world s leading digital venture builders. For over 20 years, we've been building disruptive, GenAI-enabled companies across industries such as FinTech, EdTech, GovTech, Media, and Sport. Headquartered in London, we operate globally, with a rapidly growing team in India that supports innovation, growth, and technical excellence across our portfolio. Blenheim Chalcot India, launched in 2009, is a central force behind our success. Our team delivers core services across technology, marketing, HR, finance, legal, and more serving as a powerful launchpad for ventures shaping global trends. About Fospha Fospha is a rapidly growing marketing measurement platform for eCommerce brands. We re certified partners of Meta, TikTok, and Snap, and have earned a reputation for helping some of the world s most well-known D2C brands unlock measurable growth. With product-market fit secured and award-winning success behind us, we re expanding globally and looking for top engineering talent to power our next phase of scale. The Role: Lead Data Engineer We re hiring a Lead Data Engineer to oversee the design, implementation, and performance of scalable ELT pipelines and data infrastructure. This is a hands-on leadership role, ideal for an experienced engineer who excels at building systems, mentoring teams, and driving business value through clean, reliable data. You will lead technical delivery in partnership with analysts, ML engineers, and stakeholders, ensuring data remains a strategic asset across Fospha s product suite. Key Responsibilities Lead and mentor a team of Data Engineers, cultivating a collaborative and high-performance environment. Own the end-to-end delivery of data engineering projects architecture, execution, quality, and scalability. Design and implement robust ELT pipelines using modern tooling and cloud infrastructure. Maintain and enhance data models used by analysts, ML engineers, and product teams. Collaborate across engineering, product, and analytics to define data requirements and delivery roadmaps. Ensure data integrity, reliability, and governance across multiple sources and systems. Contribute to exploratory data analysis, schema evolution, and pipeline optimizations. Identify and implement continuous improvements to processes, tools, and team workflows. Stay abreast of industry trends and emerging tools in data engineering and architecture. About You Required Experience & Skills Proven experience leading data engineering teams with end-to-end technical ownership. Expert-level knowledge of SQL (especially PostgreSQL) and relational databases. Proficiency in Python for data manipulation and scripting. Strong understanding of data pipelines, architecture, and ELT/ETL design. Familiarity with agile software development practices. Preferred Experience Experience using dbt (Data Build Tool) in production environments. Familiarity with AWS data services (e.g., Redshift, S3, Glue, Athena). Exposure to data modeling, statistics, or data science-friendly data design. Education Bachelor's or Master s degree in Computer Science, Engineering, or a related technical discipline. Join the world s leading venture builder, working on GenAI-enabled, high-growth startups. Hybrid work setup: 4 days onsite in our modern Mumbai office. Learn from diverse, top-tier global talent across engineering, data, and product. Culture of continuous learning, mentorship, and rapid innovation. 24 days of annual leave, 6 floater days, and 4 public holidays. Private medical insurance for you and your immediate family. Inclusive parental leave policies and a family-first work culture. A fun and collaborative environment we also own the Rajasthan Royals IPL team! Our Commitment to Diversity At Blenheim Chalcot, inclusion and meritocracy are at the core of our culture. We believe diversity drives better outcomes, and we are committed to fostering a workplace where everyone can thrive and make the most of their skills and potential. Application Process Our streamlined hiring process starts with a 15-minute introductory call, followed by interviews with our engineering leadership. We respect your time and aim to provide prompt, clear communication throughout. Qualification : Bachelor's or Masters degree in Computer Science, Engineering, or a related technical discipline.

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.

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.

Job Title: Senior Analyst Insights & Analysis Location: Mumbai Company: DGS India About the Role As a Senior Analyst, you will deliver insightful analysis aligned with client business goals, manage client communications, and lead junior team members to exceed performance targets. Key Responsibilities Understand client needs and act as the primary interface between clients and internal teams, ensuring clear communication. Address questionnaire-related client issues and suggest effective solutions. Use market research tools and programming languages to design surveys and deliver high-quality data tables. Independently review and execute projects according to guidelines and tools. Assign tasks to junior team members and support them in survey programming. Maintain work schedules and project plans for timely delivery.

Job Title: Senior Software Engineer (Data Engineer) Location: Mumbai Company: DGS India About the Role We are looking for a curious and self-driven Senior Software Engineer to join our technology team. In this role, you will maintain, improve, and manipulate large-scale operational and analytics databases critical to our business. You will collaborate closely with software engineers, data analysts, data scientists, and data warehouse engineers to implement database solutions that support global client objectives. Experience Required Minimum 3 years and up to 7 years of relevant experience. Key Responsibilities Work independently as an individual contributor, understanding design tasks and writing high-quality code. Build, maintain, and optimize multi-terabyte marketing databases integrated with cloud platforms. Analyze database performance and troubleshoot issues efficiently. Collaborate with cross-functional teams internally and externally to meet business goals. Must-Have Skills Experience with cloud platforms such as AWS, Azure, or GCP. Strong proficiency in SQL. Hands-on experience with ETL tools. Programming skills in Python or UNIX shell scripting. Familiarity with workflow orchestration tools like Tivoli, Tidal, or Stonebranch. Solid understanding of data modeling, data structures, and database technologies. Knowledge of both relational and non-relational databases, and when to apply each. Practical understanding of data warehousing concepts, data marts, ingestion, and transformation. Good communication skills for effective collaboration. Good-to-Have Skills Experience working with Data Warehouses (DWH). Strong debugging and troubleshooting skills. Familiarity with SVN, JIRA, and Agile methodologies. Experience in client-facing roles with excellent communication abilities. Ability to work collaboratively across cross-functional teams. Educational Qualifications Bachelor s degree in Engineering or a related field. Certifications (Preferred) Basic level certification in AWS, Azure, or GCP. Snowflake Associate/Core certification. Shift Timings 12:00 PM to 9:00 PM IST and/or 2:00 PM to 11:00 PM IST. Qualification : Bachelors degree in Engineering or a related field.

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!

Job Title: Sr. Procurement Manager, Logistics (Warehousing), Asia Location: India (Mumbai), Philippines (Manila), Indonesia (Jakarta), Thailand (Bangkok) ABOUT UNILEVER Unilever is a global company serving 3.4 billion people in over 190 countries with our products. We aim to make sustainable living commonplace and believe that doing business the right way drives superior performance. Our people are at the heart of everything we do, and we aim to create a better business and a better world. At Unilever, you ll work in an inclusive, collaborative, and flexible environment that empowers you to shape your career journey. ABOUT PROCUREMENT Procurement at Unilever manages over 30 billion in material and services spend globally with more than 60,000 suppliers. Our Procurement with Purpose vision aims to drive value through sustainable sourcing and competitive buying while responding to changing consumer needs. We are committed to making a positive impact on people and the planet by creating purpose-led partnerships and supplier-led innovation. PURPOSE OF THE JOB As part of Unilever s ambitious goals, this role is responsible for co-creating and executing Procurement Strategies for the Warehousing service portfolio across 12 key markets in Asia. The Sr. Procurement Manager will work closely with country leads to ensure that Unilever remains competitive while delivering world-class service, improving safety and sustainability, and building strong, purpose-led partnerships for warehousing services across the region. KEY ACCOUNTABILITIES Strategy Creation & Execution: Lead the development and implementation of warehousing sourcing strategies across the region, ensuring service excellence, competitive cost structures, and alignment with sustainability and safety goals. Market Requirement Understanding: Collaborate with market leads to understand business requirements, including cost, quality, safety, service levels, and sustainability, translating these into actionable sourcing specifications. Spend Analysis & Benchmarking: Analyze current spend and identify opportunities for cost optimization. Benchmark sourcing specifications, partner base, and cost against market standards. Sourcing Strategy Development: Co-create sourcing strategies to determine optimal suppliers, buying methods, and timelines, ensuring alignment with Unilever's business and sustainability objectives. Tool & Process Optimization: Introduce next-generation tools and processes to optimize sourcing practices and improve efficiency. Team Capability Building: Drive learning and development programs to build team expertise and capabilities. Performance Monitoring: Collaborate with internal teams (e.g., Procurement, Operations Excellence) to monitor performance and lead initiatives that drive continuous improvement. Inclusive Team Environment: Foster a collaborative and inclusive team culture to deliver high-impact results. KEY CONTACTS Internal Stakeholders: Unilever Logistics Procurement and Excellence Teams Unilever Finance Teams Unilever IT Teams External Stakeholders: Warehousing service suppliers TRAVEL Regional Travel: Approximately 20% of the year. SKILLS & COMPETENCIES The ideal candidate should possess the following skills: Analytical Skills: Ability to analyze complex data and drive decisions based on findings. Financial Analysis & Reporting: Proficiency in financial analysis and ability to report effectively. MS Office Proficiency: Expertise in MS Excel, Word, and PowerPoint. Interpersonal & Communication Skills: Strong communication skills to interact effectively with internal and external stakeholders. Language Skills: Fluency in spoken and written English, with proficiency in any Indian language considered an advantage. Procurement Skills (Preferred) Portfolio Strategy Development Negotiation Strategic Supplier Partnerships Digital Sourcing Platforms Knowledge EDUCATION & EXPERIENCE The candidate should have: Bachelor s degree with at least 10 years of experience in Procurement/Supply Chain Management, or Master s degree with specialization in Procurement/Supply Chain and at least 8 years of experience in the relevant field. Additionally, experience in Procurement/Operations of Warehousing Services is essential. DIVERSITY & INCLUSION STATEMENT Unilever is an Equal Opportunity Employer, committed to creating a diverse and inclusive workforce. We believe in offering equal consideration to all applicants, regardless of race, gender, sexual orientation, disability, or any other legally protected characteristic. We are dedicated to ensuring continuous development opportunities for employees of all backgrounds. This role presents an exciting opportunity to shape the future of warehousing procurement in a dynamic and rapidly evolving region. If you are ready to make an impact and drive sustainability, cost-effectiveness, and innovation, this role is for you! Qualification : Bachelors degree with at least 10 years of experience in Procurement/Supply Chain Management

About Us At Quantiphi, technology is the foundation of our business, but our true strength lies in our global and diverse culture. We take pride in fostering an environment built on transparency, diversity, integrity, continuous learning, and growth. If you re looking for a workplace that encourages innovation and supports your growth both professionally and personally Quantiphi is the perfect fit for you. Role & Responsibilities As a Looker Developer, you will play a key role in building and maintaining data models, developing impactful visualizations, and ensuring optimal performance of our Looker platform. You will collaborate with stakeholders to transform complex data into actionable insights, empowering teams to make data-driven decisions. Key Responsibilities: Create and maintain LookML code to define data models, dimensions, measures, and relationships within Looker. Develop reusable LookML components to streamline and standardize dashboard creation. Design and customize dashboards with effective data visualizations (charts, graphs, etc.) to present insights clearly. Write complex SQL queries to extract and manipulate data as needed, optimizing for performance. Identify and resolve performance bottlenecks impacting report and dashboard loading times. Optimize Looker performance through query tuning, caching strategies, and exploring indexing options. Configure user roles and permissions to manage access and enforce data security best practices (including row-level and field-level security). Leverage Looker APIs, SDKs, and the extension framework where necessary to build custom solutions. Use version control tools like Git to manage LookML code changes and collaborate with development teams. Provide training and support to business users, enabling them to effectively leverage Looker for their analysis needs. Troubleshoot and resolve technical issues related to data models, reports, and dashboards. Skills & Experience Required Hands-on experience with LookML and a strong understanding of Looker s data modeling framework. Strong SQL skills with the ability to write and optimize queries across different SQL dialects (preferably GCP/BigQuery). Knowledge of data modeling best practices and practical experience in building efficient data models. Proficiency in ETL processes for data transformation and preparation. Ability to design visually compelling and user-friendly dashboards within Looker. Performance tuning expertise, including query optimization, caching strategies, and indexing. Familiarity with related tools such as BigQuery, Apache Spark, and Python for data transformations. Strong analytical and problem-solving capabilities. Knowledge of data governance principles to ensure data quality, privacy, and compliance. Excellent understanding of advanced Looker features such as liquid variables, complex derived tables, caching, and PDTs (Persistent Derived Tables). Strong troubleshooting skills to identify root causes and effectively resolve issues related to data modeling, queries, and dashboards. Willingness to stay updated with the latest features and advancements in Looker and data analytics. Nice to Have Experience creating end-to-end documentation for data models, processes, and reports. Familiarity with cloud platforms (GCP, AWS, or Azure) and their data ecosystems. Exposure to advanced scripting for automation and monitoring within the BI environment. If you re excited about working in a fast-paced, collaborative environment with a team of enthusiastic over-achievers, Quantiphi is the place to be!

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.