Data Migration 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

Salesforce Analyst Location: Mumbai Experience: 5 to 7 Years Qualification: Graduate Employment Type: Full-time Job Description We are seeking a skilled Salesforce Analyst to act as the key interface between business stakeholders and technical teams, translating business requirements into efficient Salesforce solutions. The ideal candidate will provide ongoing support, optimize Salesforce processes, and ensure platform integrity and user adoption. Key Responsibilities Serve as the primary liaison between business users and technical teams to gather, analyze, and translate business needs into Salesforce solutions. Provide Salesforce support including troubleshooting user issues, managing profiles, roles, permissions, and resolving system incidents promptly. Analyze existing business processes, identify inefficiencies or gaps, and recommend improvements leveraging Salesforce capabilities. Partner with stakeholders to define and document user stories, acceptance criteria, and detailed process flows. Manage Salesforce platform configurations ensuring data integrity, security, and system automation through workflows, approvals, validation rules, and flows. Conduct user training sessions, create comprehensive documentation, and deliver ongoing support to maximize Salesforce adoption. Collaborate with developers and third-party vendors to coordinate system enhancements, customizations, and integrations. Perform regular system audits, manage release cycles, and ensure compliance with company governance and security policies. Monitor Salesforce performance and usage metrics, and provide actionable insights to business teams for continuous improvement. Required Skills and Qualifications Graduate degree in any discipline. 5 to 7 years of experience working with Salesforce in an analyst or support role. Strong understanding of Salesforce platform capabilities including Security, Profiles, Roles, and Permission Sets. Experience in managing Salesforce workflow automation, validation rules, approval processes, and Flows. Ability to analyze business processes and translate them into scalable Salesforce solutions. Excellent communication skills to collaborate effectively with cross-functional teams. Experience conducting user training and creating user documentation. Familiarity with Salesforce release management and compliance requirements. Proactive problem-solving skills and ability to work independently. Be part of a dynamic team driving digital transformation and business efficiency. Work in a collaborative environment with opportunities for continuous learning. Impact business processes through innovative Salesforce solutions. If you are a detail-oriented Salesforce professional who enjoys bridging business and technology, we want to hear from you! Qualification : Graduate

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

Job Title: Oracle Database Administrator (DBA) Location: Mumbai Employment Type: Full-Time Experience Required: Minimum 2 Years Salary: 7.5 LPA Position Overview: We are seeking a skilled and experienced Oracle Database Administrator (DBA) to join our team in Mumbai. The ideal candidate will have at least 2 years of hands-on experience managing Oracle databases and ensuring their performance, availability, and security in a production environment. Key Responsibilities: Install, configure, and maintain Oracle databases Monitor database performance and implement improvements Perform database backups, recovery, and disaster recovery planning Ensure data integrity, security, and compliance with internal policies Troubleshoot database issues and support development teams with SQL performance tuning Apply patches and updates as needed to maintain database health Required Skills & Qualifications: Strong knowledge of Oracle database architecture and administration Experience with Oracle backup and recovery tools (RMAN, Data Pump) Familiarity with performance tuning and optimization techniques Solid understanding of SQL and PL/SQL Ability to work independently and as part of a team Good communication and problem-solving skills Preferred: Oracle certification (OCA/OCP) is a plus Experience with cloud-based Oracle solutions or migration projects

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.

SAP PP/QM Consultant Job Description Role and Responsibilities: SAP Expertise: With 6+ years of SAP PP-PI (Production Planning Process Industry) & Discrete Manufacturing experience, you will play a crucial role in implementing SAP solutions. End-to-End Implementation: Lead at least 3 full life cycle implementations of SAP PP-PI, Discrete Manufacturing, and REM (Repetitive Manufacturing). Configuration & Testing: Strong skills in configuring and testing SAP modules, specifically in Forecasting, Demand Management, Production Planning (MRP Live), Shop Floor Execution, and Capacity Planning. S4/HANA Implementation: Experience in S4HANA implementation and migration processes, ensuring smooth transitions to the latest platforms. Module Integration: Expertise in integrating SAP PP with QM (Quality Management), CO (Controlling), MM (Materials Management), and SD (Sales and Distribution) modules. Cloud Implementation: Experience in SAP RISE or Public Cloud implementation would be an advantage. Manufacturing Processes: In-depth knowledge of processes such as MTS (Make to Stock), MTO (Make to Order), and Repetitive Manufacturing in SAP. Process Management: Strong understanding of process management using PI Sheets, Process Control Systems Integration, Recipe Management, Active Ingredient Calculation, and Batch Management. Change Management: Good experience in Engineering Change Management and Order Change Management functionality within SAP. Enhancements & Functional Requirements: Hands-on experience in gathering functional requirements, creating smart forms, and conducting enhancement development. S/4HANA and Fiori: Knowledge of SAP Fiori and the S/4HANA Data Migration Tool to enhance the user experience and streamline data transitions. UAT & Documentation: Experience in User Acceptance Testing (UAT), preparing training materials, and maintaining project documentation. Required Experience: Experience: 6 to 12 years of relevant work experience in SAP PP/QM consulting. Industry Knowledge: Prior experience working in industries utilizing SAP solutions, with a focus on manufacturing and production processes. Location: Mumbai (onsite) About Castaliaz: Castaliaz has been at the forefront of SAP implementation for SMEs and large enterprises across India for over a decade. We are recognized as one of the Top 10 SAP implementation partners in India. With expertise in a wide range of SAP applications, including SAP Cloud, Rise with SAP, S/4HANA, Fiori, Ariba, and Digital Compliance (GST, E-Invoicing, E-Way Bill), we help clients navigate the entire lifecycle of SAP implementation and management. Our proven, time-tested implementation approach has earned the trust and loyalty of our clients nationwide. As an SAP Gold Partner, Castaliaz continues to be a leader in delivering top-tier SAP solutions.

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 Requirements Role/ Job Title: Senior - Growth Manager - HPE Function/ Department: HPE Job Purpose: The role is responsible for development and execution of comprehensive marketing strategies to drive growth and revenue. Work closely with a team of competent marketing professionals and collaborate cross-functionally to optimize campaigns and initiatives. Roles & Responsibilities: Develop and execute innovative growth marketing strategies to achieve business objectives. Lead and mentor a team of growth marketing managers and associates. Analyze market trends, customer behavior, and competitor activities to identify opportunities for growth. Collaborate with product, sales, and other teams to align marketing efforts with overall business goals. Manage and optimize digital marketing channels. Implement A/B testing and other experimentation techniques to optimize campaign performance. Monitor and analyze key performance indicators (KPIs) to track the effectiveness of marketing efforts. Identify areas for improvement and implement initiatives to enhance marketing performance and efficiency. Stay up to date with industry trends and best practices in growth marketing. Secondary Responsibilities: Expert in problem solving skills & Positive attitude. Understand the Business Portfolio target & able to plan marketing strategy & plan execution with stakeholders. Optimized customer journey (CRO) on digital platform / assisted journey. Bureau data understanding & utilize the same in digital marketing. Basic Assets & Credit Card Product Knowledge. Expert in sales lead management / lead lifecycle. Knowledge to handle both existing & new customer marketing strategy. Comfortable to work in Agile team with incremental RoI strategy. Basic knowledge of Data Analytics & Statistics (From marketing perspective). Managerial & Leadership Responsibilities: Target-oriented with proven ability to multitask. Experienced in people management and development, comfortable managing in a matrixed and/or Agile environment. Education Qualification: Graduation: Science / Commerce /B Tech - Computer Science / IT Post-graduation: MBA Experience: 5 to 10 years of relevant experience. Qualification : Science / Commerce /B Tech - Computer Science / IT

Business Process Specialist Location: Mumbai, India About Dow At Dow, we believe in putting people first and are committed to delivering integrity, respect, and safety for our employees, customers, and the planet. We are a diverse and innovative team of relentless problem solvers who work together to transform industries and shape a sustainable future. Our purpose is simple: to deliver a better world through science and collaboration. If you're looking for a challenging and meaningful role, you re in the right place. About the Role Dow's Integrated Supply Chain & Improve & Scale Digital Solutions Team delivers value by defining, enabling, and supporting processes and system capabilities needed by our businesses. As a Business Process Specialist, you will play a critical role in executing strategies, driving process enhancements, and collaborating with global and regional teams to optimize supply chain operations. You will collect and analyze work process and system requirements, ensuring alignment with design principles and business needs. You will act as a subject matter expert for key supply chain functions, supporting systems like SAP, Microsoft Dynamics, OM Partners, Oracle Transportation Management, and more. Additionally, you will be responsible for compliance, regulatory adherence, training, and continuous process improvement initiatives. This role operates under the functional guidance of Global Business Process Leaders and Experts, collaborating with business process teams across Integrated Supply Chain (ISC) and Information Systems (IS). Key Responsibilities Process & System Optimization Develop in-depth knowledge of work processes, systems, technologies, applications, data, and key metrics. Provide expert-level support on system functionality, process improvement, and issue resolution. Gather, evaluate, and document work process requirements for global initiatives and projects. Ensure process compliance with regulatory and internal standards. Collaboration & Stakeholder Engagement Act as a key liaison between business units, IT teams, and process improvement functions. Support peer organizations and cross-functional teams in corporate initiatives, system testing, data migration, and implementation. Develop and deliver training programs, knowledge transfer sessions, and coaching for support teams. Data & Performance Analysis Analyze process performance metrics to monitor consistency and alignment with business goals. Identify gaps in global capabilities, leveraging best practices and emerging technologies for continuous improvement. Qualifications & Experience Education Bachelor s degree (Required) Engineering or Science preferred. Experience Minimum 3 years of relevant experience in Supply Chain, Customer Service, or Process Improvement. Technical Skills Advanced skills in Microsoft Excel, Power BI, and PowerPoint. Strong experience in handling large data sets from multiple sources. Proficiency in Data Visualization tools & techniques. Preferred Skills Digital mindset with a strong focus on innovation and automation. Critical thinking and problem-solving skills. Project management and system/process improvement expertise. Training delivery experience. Excellent communication skills verbal and written. Additional Information Flexibility to support global operations and alternate time zones (North America, EMEAI, LAA, APAC) is required. Relocation assistance is NOT available for this role. Competitive Salary & Bonus Market-aligned compensation with performance-based incentives. Career Growth Opportunities for training, mentoring, and professional development. Comprehensive Benefits Medical, life insurance, and mental health support. Work-Life Balance Flexible workplace culture for personal and professional productivity. Parental & Family Support Paid leave for new parents and caregivers. Paid Time Off & Volunteering Vacation allowance, community engagement, and Employee Resource Groups (ERGs). Wellbeing & Perks Gym memberships, discounts, and transportation benefits (location-dependent). About Dow India Dow Chemical International Pvt. Ltd. (Dow India) is a leader in sustainable materials science, providing innovative solutions across packaging, infrastructure, automotive, and consumer care. With 1,000+ employees, we are a Great Place to Work Certified company, committed to corporate social responsibility (CSR). We actively support women, children, and differently-abled individuals through technology and volunteerism. Join Our Team & Make an Impact! At Dow, we celebrate diversity, collaboration, and innovation. If you are passionate about business process improvement and digital transformation, we encourage you to apply! Apply now and be part of a global team transforming industries through science! Qualification : Bachelors degree (Required) Engineering or Science preferred.

About Seclore At Seclore, we are entrepreneurs, not employees a passionate team solving complex problems with cutting-edge, patent-pending technology. We challenge the status quo, take on industry giants, and thrive on meritocracy and innovation. Recognized as a "Great Place to Work" in both India and the USA, we take pride in building a culture of risk-taking, learning, and impact. Seclore is a global leader in Data-Centric Security, protecting highly confidential information across Fortune 100 companies, nuclear projects, and pharmaceutical innovations. Our award-winning technology enables organizations to control how their data is used even after sharing it externally. The Role We are seeking a highly skilled Cloud Architect to design, implement, and optimize our cloud infrastructure with a strong focus on security. This role demands strategic thinking, hands-on expertise, and collaboration with cross-functional teams to ensure scalable, resilient, and secure cloud solutions. Key Responsibilities Design & Optimize Cloud Infrastructure: Architect secure and scalable cloud solutions. Automation & DevOps: Implement automated cloud solutions using industry-standard tools. Monitoring & Security: Manage cloud monitoring, alerting systems, and security integrations. Incident Response & Ops Management: Define operational support processes and ensure adherence to policies. Collaboration: Work closely with SOC teams to integrate cloud security into overall operations. Cost Optimization: Implement strategies to optimize cloud expenses while maintaining performance. Minimum Qualifications Technical Degree: Engineering or MCA from a reputed institute. Experience: 8+ years in cloud technologies, 5+ years in AWS. Cloud Expertise: Proven experience managing multiple AWS production workloads. Scripting: Proficiency in Python & Bash. Containerization: Experience with Docker, Kubernetes, and their security implications. IaC & Automation: Hands-on experience with Terraform/CloudFormation. Security-Focused: Strong understanding of secure cloud architecture & DevSecOps practices. Certifications (Preferred): AWS Certified Solutions Architect / Security Specialty. Work on Industry-Leading Security Tech Collaborate with Global Enterprises Innovate & Solve Real-World Problems Competitive Salary & Benefits Be part of a team shaping the future of data security! Qualification : A technical degree (Engineering, MCA) from a reputed institute.

Experience: 4 5 years in Salesforce development Education: Bachelor s degree in Computer Science, Information Technology, or a related field Job Summary: We are seeking a skilled Salesforce Developer to join our Digital Transformation Cell. The ideal candidate will be responsible for the design, development, testing, and implementation of custom solutions within the Salesforce platform. This role requires a deep understanding of Salesforce architecture and the ability to collaborate with business stakeholders to deliver effective solutions that enhance business processes and drive success. Key Responsibilities: Develop and customize Salesforce applications using Apex, Visualforce, Lightning components, and other Salesforce technologies. Collaborate with stakeholders to gather and analyze requirements, translating them into technical specifications. Implement and manage Salesforce integrations with external systems and third-party applications. Design and create data models, custom objects, workflows, validation rules, and reports within Salesforce. Perform data migrations using tools like Data Loader and other ETL tools. Troubleshoot and resolve issues related to Salesforce applications, providing timely support to end-users. Maintain comprehensive documentation of processes, configurations, and code. Ensure the security, scalability, and reliability of Salesforce applications. Stay current with Salesforce updates and best practices, recommending improvements where necessary. Skills Required: Experience with Salesforce CPQ, Service Cloud, or Marketing Cloud. Knowledge of Agile development methodologies. Familiarity with version control systems such as Git. Understanding of Salesforce security and compliance standards. Qualification : Bachelors degree in Computer Science, Information Technology, or a related field

Position: AWS Partner Development Manager Overview: AWS Partner Development Managers (PDMs) are tasked with cultivating and advancing the AWS Partner Network (APN) within specific technology domains and industries, helping to bring AWS solutions to customers. As part of our rapidly expanding partner ecosystem, we are seeking a driven and technically proficient individual to enhance our network of AWS partners. These partners provide consulting services and solutions, assisting clients with cloud migration, application modernization, data and analytics, AI/ML, and the adoption of leading digital technologies. In this role, you will collaborate across the AWS organization to build and manage high-value partnerships, supporting our partner community s growth and ensuring alignment with AWS solutions. You will work closely with our partners to drive revenue growth, business development, and strategic initiatives. Key Responsibilities: Strategic Leadership: Develop and lead joint business plans with Global Systems Integrators (SIs) to drive partner revenue and AWS solution sales. Performance Tracking: Conduct regular business reviews to assess partner performance, ensuring alignment with revenue, pipeline, and competency objectives. Executive Relationship Management: Build and maintain strong relationships with senior executives at partner organizations to ensure continued engagement. Cross-functional Collaboration: Work within AWS to secure alignment and resources for partner development initiatives, driving mutual success. Pipeline & Opportunity Management: Set and track partner pipeline and opportunity registration targets, performing regular pipeline reviews to identify and capitalize on growth opportunities. Marketing & Sales Strategy: Plan and execute joint marketing campaigns and sales incentives aimed at accelerating partner solution sales. Internal Advocacy: Promote partner solutions within AWS through resources such as solution showcases and internal communications. Operational Oversight: Define and manage key partner operations, including opportunity registration, revenue reporting, and governance. Onboarding & Program Management: Lead the onboarding process for new partners and ensure continuous tracking of program progress and attainment. Continuous Learning: Stay up-to-date with AWS cloud platform developments and partner ecosystem trends through certifications and ongoing education. About the Team: AWS is committed to fostering a diverse and inclusive environment. We encourage candidates from all backgrounds, regardless of whether they meet all the listed qualifications, to apply. At AWS, we value diverse experiences and perspectives, and we believe that everyone can contribute to our mission of innovation and growth. Amazon Web Services (AWS) is the world s leading and most comprehensive cloud platform. Since pioneering cloud computing, AWS has continuously innovated to support the most successful startups and global enterprises. Inclusive Team Culture: AWS celebrates curiosity, inclusion, and connection. We believe in fostering a collaborative environment where employees from diverse backgrounds can thrive. Our employee-led affinity groups and inclusion events help create a stronger, more connected team. Mentorship & Career Growth: AWS offers a wealth of resources for knowledge sharing, mentorship, and career development, supporting your growth into a well-rounded professional. Work/Life Balance: We prioritize work-life harmony and flexibility, ensuring that success in the workplace does not come at the expense of personal well-being. Basic Qualifications: A minimum of 5 years of experience in developing, negotiating, and executing business agreements. A minimum of 5 years of professional or military experience. A Bachelor's degree or equivalent experience. Proven experience in developing strategies that influence leadership decisions at the organizational level. Expertise in managing programs across cross-functional teams, building processes, and coordinating schedules. Preferred Qualifications: Experience interpreting data to inform business decisions. Demonstrated ability to identify, negotiate, and execute complex legal agreements. Qualification : Bachelor's degree