Data Lakes Jobs in Mumbai

Job Title: SOC Manager Location: Mumbai Education: Graduate / Post-Graduate Experience: 14 18 years in IT Security / Information Security Certifications Required: CISSP or CISM About the Role We are seeking an experienced and dynamic SOC Manager to lead our Security Operations Center (SOC) and drive our cybersecurity defense strategy. The ideal candidate will have deep expertise in IT security, excellent leadership capabilities, and a proven track record of managing 24/7 SOC operations. In this critical role, you will be responsible for monitoring, detecting, responding to, and preventing cybersecurity threats across the organization. Key Responsibilities Leadership & Team Management: Lead, mentor, and manage the SOC team to ensure high performance and continuous development. Foster a high-performance culture, emphasizing ownership, accountability, and collaboration. Act as the primary escalation point for high-priority security incidents. SOC Operations: Oversee 24/7 security monitoring and real-time threat detection across the organization s infrastructure. Ensure smooth operations of SOC processes and consistent coverage of security monitoring tasks. Incident Management: Direct and coordinate all aspects of the incident response lifecycle identification, containment, investigation, remediation, and recovery. Ensure timely escalation and communication with executive leadership during major incidents. Security Tools & Technologies: Manage and optimize security tools and platforms including SIEM, PAM, firewalls, proxies, endpoint protection, etc. Ensure tools are properly configured and tuned for optimal threat detection and minimal false positives. Threat Intelligence & Analysis: Utilize threat intelligence feeds and platforms to proactively monitor emerging threats. Correlate threat intelligence with internal data to assess risk and recommend defensive strategies. Process Improvement & Automation: Drive continuous improvement and automation of SOC processes using SOAR and related tools. Enhance response efficiency through playbooks, automation scripts, and workflow optimization. Cross-Team Collaboration: Collaborate with IT, Application, and Network teams to ensure unified security efforts and seamless incident resolution. Act as a bridge between technical teams and business stakeholders. Reporting & Metrics: Define and report on key SOC performance metrics (KPIs) such as mean time to detect (MTTD) and mean time to respond (MTTR). Provide executive-level reporting on security incidents, trends, and the overall threat landscape. Compliance & Risk Management: Ensure SOC operations adhere to internal policies and external standards (e.g., ISO 27001, NIST, SEBI regulations). Support audits and compliance initiatives by providing evidence, reports, and expert insights. Security Posture Enhancement: Evaluate and recommend new technologies and methodologies to enhance detection and response capabilities. Contribute to the development and refinement of the organization s cybersecurity strategy. Training & Development: Lead SOC training initiatives to ensure analysts stay updated on the latest threats, tools, and best practices. Foster a learning environment with a focus on upskilling and career development. Key Skills & Competencies Leadership: Proven experience leading SOC or security teams in a fast-paced, mission-critical environment. Communication: Excellent verbal and written communication skills; ability to present to senior leadership and external stakeholders. Analytical Thinking: Strong problem-solving abilities; capable of analyzing complex security incidents and identifying root causes. Time Management: Exceptional organizational and prioritization skills; able to respond rapidly to high-impact incidents. Attention to Detail: Meticulous in investigation, documentation, and reporting. Mandatory Requirements 14 18 years of relevant experience in IT Security or Information Security CISSP or CISM certification (mandatory) Strong background in incident management, SOC tools, and regulatory compliance Hands-on experience in security monitoring, SIEM, SOAR, and threat hunting Be at the forefront of protecting a critical enterprise from evolving cyber threats Lead a talented team and shape the future of cybersecurity operations Exposure to a wide range of advanced tools and technologies Work in a culture that values innovation, accountability, and continuous learning Qualification : Graduate / Post-Graduate

Assistant Business Manager SEO Location: Mumbai Experience: 2 4 Years Education: Graduate (Any discipline) Employment Type: Full-Time About the Role We re looking for an enthusiastic and detail-oriented Assistant Business Manager with hands-on experience in SEO and digital marketing analytics. You ll play a crucial role in driving organic growth for client websites, delivering impactful SEO strategies, and ensuring data-driven decision-making through regular performance analysis. Key Responsibilities Develop and implement detailed SEO recommendations for assigned client websites Conduct comprehensive SEO audits to ensure content and structure compliance with current best practices Monitor timelines, deliverables, and ensure commitments are met for client projects Create and deliver monthly performance reports for clients, offering insights and action plans Stay up to date with the latest SEO trends, Google algorithm updates, and industry developments Work on Google Ads (AdWords) campaigns to support paid marketing efforts when needed Analyze quantitative and qualitative data using web analytics tools (such as Google Analytics) to guide strategic decisions Translate analytics findings into actionable, performance-driven SEO plans Requirements 2 4 years of experience in SEO, digital marketing, or a related field Strong understanding of both on-page and off-page SEO practices Hands-on experience with SEO tools (e.g., Google Search Console, SEMrush, Ahrefs, Screaming Frog) Working knowledge of Google Ads and campaign management Proficiency in using Google Analytics and other web analytics tools Ability to analyze data, identify trends, and translate them into strategy Strong written and verbal communication skills Highly organized, proactive, and capable of managing multiple projects simultaneously Preferred Qualities Self-motivated and results-driven mindset Passion for digital marketing and search engine technologies Ability to work collaboratively across teams and with external stakeholders Strong attention to detail and time management If you re passionate about SEO and want to be part of a dynamic team driving digital growth we d love to hear from you! Qualification : Graduate (Any discipline)

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: Digital AI Manager Location: Mumbai Function: Supply Chain Procurement About Procurement at Unilever Unilever s Procurement team manages over 30 billion in global spend across 50,000+ suppliers. As part of the Supply Chain, Procurement is essential to delivering sustainably sourced materials and services, driving innovation with our partners, and ensuring our purpose-led brands thrive. Our global procurement organization of 1,400+ professionals supports a wide network, including more than 1.5 million smallholder farmers, impacting over 7 million lives. Guided by our Procurement Lighthouse Strategy, we focus on five pillars: Competitive Buying, Resilience, Partnerships, Sustainability, and Value Chain Excellence all powered by Digital and Technology. About the Strategy & Insights Team Established three years ago, the Procurement Strategy & Insights team serves as the nerve center of Unilever s global procurement function. With a vision of transforming knowledge and data into future-fit strategies, the team enables breakthrough transformation across tools, processes, and business models. The team includes: Strategy Team Drives strategic priorities across Business Groups (BG) and Power of One. Insights Team Leads data-driven programs and cross-functional initiatives. Digital Transformation Team Builds digital capabilities, tools, and data infrastructure. Data & AI Innovation Team Focuses on cutting-edge analytics, AI, and Procurement GPT solutions. Role Overview: Digital AI Manager B&W As Digital AI Manager B&W, you will lead the adoption and integration of digital and AI tools within Unilever Procurement. You will drive the implementation of mature AI/analytics solutions, champion digital adoption within the buyer community, and manage transformation initiatives aligned with our 4D Digital Lighthouse Strategy. You will also act as the Program Manager for the Procurement GPT Hero Use Case, helping scale innovative AI-driven solutions. Key Responsibilities 1. Drive 4D Digital Lighthouse Strategy Data Foundations: Enhance the Procurement Data Lake by integrating internal (Unilever Datalake, BDL) and external data (market intelligence, sustainability, resilience, etc.). Maintain a high-quality, accessible data catalogue. Advanced Analytics: Deliver scalable analytics use cases, build self-service analytics tools, and enable data-driven decision-making across key procurement programs. Tool Integration & Automation: Improve and integrate digital tools into the 7-step strategic sourcing process. Enhance the Buyers Console as the central hub for digital tools and services. Culture & Capability Building: Lead digital adoption programs, deliver training (e.g., DigiCon), and drive capability building across the procurement community. 2. Procurement GPT Program Collaborate closely with the Data & AI Innovation team on advanced AI use cases. Manage the transition of innovations into mainstream adoption and support scaled implementation. Key Stakeholders Procurement Leadership Team (UPLT) Head of Strategy & Insights Global Buyer Community UniOps External technology and AI partners Leadership Competencies Strong stakeholder management across complex, matrixed environments Expertise in change management and adoption strategies Skilled in agile project and program management Passion for digital innovation, transformation, and continuous improvement Required Experience Minimum 5 years experience in Unilever or similar FMCG environment Proven experience in digital transformation, analytics, or change leadership roles Track record of delivering strategic, cross-regional initiatives Ability to work in diverse, cross-functional, and global teams

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: Technical Support Specialist (Japanese) Location: Mumbai, India About LRN: LRN is a SaaS based e-Learning provider with a presence across US, EMEA, APAC and LatAm. More than 2,500 companies worldwide (including some of the world s most recognizable brands) utilize LRN services and leverage LRN e-learning courses to help navigate complex regulatory environments and foster ethical, responsible, and inclusive cultures. In partnership with LRN, companies translate their values into concrete corporate practices, training materials, and leadership behaviors that create a sustainable competitive advantage. By acting upon shared values, companies and their people find the means to out behave and outperform. About the role: LRN team develops data specifically for a set of key product domains like eLearning, Disclosures, personalization and completions. We deal in AWS technologies like Redshift, S3, Glue, and Lambda. You'll build our data lake and partner with Product and BI teams to build new behavioral events, pipelines, datasets, models, and reporting to support their initiatives. You'll also assist to develop our analytics capabilities in Quicksight and build out our real time reporting capabilities. Your responsibilities will include: Provide support to internal and external customers on all aspects of LRN s proprietary applications (functions include: campaign set up, system generated e-mails, system reporting, user data management, and customization) Using defined systems and processes, keep both internal and external stakeholders updated as to the status of call tickets, requests, projects, issues, and changes. Update necessary tracking and reporting systems to ensure that group statistics can be tracked, managed and measured. Manage expectations of internal and external customers, ensuring capabilities are not exceeded to the detriment of the customer. Escalate issues related to capabilities where appropriate. Serve as an internal advocate for field personnel, as well as external customers. Prioritize requests based on need and impact. Work with internal stakeholders to address priorities. Prepare and present (in written and verbal forms) product information that will assist customers with the capabilities of LRN's systems. Maintain quality levels for all work related to customers requests. Ensure there is an ongoing dialog between LRN and each customer with whom the Partner Assistance Center team member is working. Collaborate with peers to discuss unique solutions and to document them. Perform other duties as assigned. Requirements: Bachelor s Degree 4-6 years of L2/L3 level experience in a customer facing role in an application support environment. Proficient in Japanese language (Written and spoken) - Mandatory Excellent communication skills in English. This position requires above par skills to write and speak in English. Extensive experience in supporting enterprise customers based in US and Europe. Familiarity with HTML and CSS. Familiarity with Learning Management Systems Expertise in Microsoft Office Suite especially in Excel. Should be able to understand and handle CSV files. Ability to review a Partner request, and apply the necessary analytical skills to ensure successful delivery of the end product. This role will involve direct Partner contact; an ability to work with others who are potentially very frustrated, in a professional manner is mandatory. An inherent ability to multitask and manage customer expectations to the satisfaction of all involved parties is critical to the success of the incumbent. Ability to consistently spot and report issues before they reach a point of becoming critical. A desire to constantly examine issues, looking for the opportunity to improve processes and/or technology. Must have an inherent attention to detail Benefits: LRN is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Qualification : Bachelors Degree

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.

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.

Executive/ Sr. Executive Marketing Data, Insights & Outreach Location: Mumbai Department: Marketing & Communication Reporting to: Head Marketing & Communication Objectives of the role: Assist in developing technical content for Marketing communications Becomes a Subject Matter expert from technical point of view for content Engaging with Existing and prospective Customers for Lead Generation Tele Calling and then meeting in person Liaison with sales for lead nurturing Primary Market Research via face-to-face meetings or tele calling Demonstrate Products & Solutions at customer site Data Generation, Cleaning & Maintenance Working with Various departments to source information regarding products, software, etc Build knowledge and education regularly through workshops, research, and seminars, and share best practices and local marketing tactics with team members Requirements: Experience of minimum 1 year of working in Marketing Department Acute eye for detailing Excellent Written and spoken English Education Bachelors of Engineering. MBA in Marketing will be an added advantage Skills: Good at Powerpoint presentations, Canva, other presentation tools Research Understanding Good with MS excel Good at using AI tools for rich media generation Perks: You will be a part of International Marketing Team. Opportunity to work with a company with an open-door policy Exposure to working in both Manufacturing & IT/Software set up at one go Exposure to International Marketing Working with a high-performance team Travel opportunity both in India & Abroad Educational Qualification: BE/ME/B.Tech/M.Tech/MCA / B. Pharm MBA in Marketing Desired Candidate Profile: Ability and capability to understand technicality of the product Keep abreast with the latest trends Good communication skills and be a team player Should be organised, motivated, self-driven and quick learner Good Analytical and problem solving skills Qualification : Bachelors of Engineering. MBA in Marketing will be an added advantage

Job Title: Associate Underwriting Location: Mumbai, India Company: Oakbrook (Part of Blenheim Chalcot Portfolio) Experience: 1 3 Years Industry: FinTech | Lending | Underwriting Employment Type: Full-Time About the Role: We are looking for a highly analytical and detail-oriented Associate Underwriting to join Oakbrook India, a FinTech venture within the Blenheim Chalcot ecosystem. You will play a critical role in supporting loan underwriting processes, document verification, and financial data analysis to ensure accurate risk assessment and timely decisions. You ll gain exposure to next-gen GenAI-enabled processes and will work in a fast-paced, agile, and collaborative environment, contributing directly to the future of digital lending. Key Responsibilities: Review loan applications and verify customer documentation for completeness and accuracy. Analyze financial statements, bank statements, credit reports, and related documents to assess creditworthiness. Prepare detailed customer risk profiles and support the underwriting team in decision-making. Identify discrepancies or red flags and escalate as required. Ensure compliance with internal policies and lending regulations. Collaborate with cross-functional teams including Customer Service, Risk, and Operations. Support process enhancements through automation and tech-driven tools including GenAI. Maintain accurate and well-documented audit trails of decisions and processes. Must-Have Skills: Experience in document verification and financial data analysis (bank statements, credit reports, income data, etc.). Strong understanding of lending operations and underwriting processes, especially for UK/US clients. Analytical thinking and decision-making ability with attention to detail. Good-to-Have Skills: Familiarity with GenAI tools or automation platforms in financial workflows. Clear stakeholder communication and reporting abilities. Proficient in MS Office tools, especially Excel. Qualifications: Graduate or Undergraduate from a recognized university. 1 3 years of experience in FinTech, lending, or mortgage operations, ideally with UK/US-based clients. Exposure across the lending customer lifecycle (call center, back office, retention) is an advantage. Strong documentation, compliance, and reporting awareness. What We Offer: Competitive compensation based on experience. Opportunity to work with global teams and FinTech leaders. Be part of Blenheim Chalcot, the world s leading digital venture builder. Exposure to the latest in GenAI and automation technologies. Private medical insurance for you and your family. Life insurance coverage. Vibrant work culture with regular social events and team activities. About Blenheim Chalcot: Blenheim Chalcot has been building disruptive businesses for over 26 years across FinTech, EdTech, HealthTech, Media, and more. Our India team is central to our innovation and success, supporting a diverse portfolio of ventures. We re not just investors we build businesses from the ground up, supporting them with strategic expertise and execution capabilities in technology, growth, talent, finance, and legal. If you have an eye for detail, love working with financial data, and want to be part of a purpose-driven FinTech team, we want to hear from you.

Principal Engineer Location: Mumbai, India (roles in Andheri East and / or Turbhe) Description We re hiring a Principal Engineer to lead the design and delivery of robust, scalable, and production-grade data systems across a high-growth, multi-venture environment. This is a high-impact leadership role for someone who thrives in hands-on build mode, and who can scale technical delivery without losing speed, quality, or ownership. If this is interesting, we would love to hear from you! About Blenheim Chalcot Blenheim Chalcot India is part of Blenheim Chalcot, a global venture builder headquartered in London. With over 26 years of innovation, we've been at the forefront of creating some of the most groundbreaking GenAI-enabled companies. Our ventures lead the charge in digital disruption across a spectrum of industries, from FinTech to EdTech, GovTech to Media, and beyond. Our global presence spans the US, Europe, and Southeast Asia, with a portfolio that employs over 3,000 individuals, manages assets exceeding 1.8 billion, and boasts total portfolio sales of over 500 million. The role We re hiring Principal Engineers and Lead Engineers to lead the design and delivery of robust, scalable, and production-grade data systems across Blenheim Chalcot portfolio businesses. These are great opportunities for someone who thrives in hands-on build mode, demonstrates high-impact leadership, and who can scale delivery without losing speed, quality, or ownership. As a key member of our Software Engineering team, you will be instrumental in leading, designing, developing, and deploying robust and scalable products. You will work in close collaboration with customers and cross functional teams in Mumbai and London, to deliver product-led delivery and solutions that really make a difference. Behaviours that we look for Rigorous problem-solving and systems thinking. Decomposes complex problems, evaluates multiple approaches, and designs scalable, maintainable architectures. Clean, performant, and secure code. Chooses suitable data structures, writes readable & defensive code, and bakes in performance and security from the start. Test-first and observable engineering. Designs for testability, automates meaningful unit/integration tests, and implements robust logging, metrics, and monitoring. Production and operations excellence. Understands CI/CD, infrastructure and cost drivers, engineers for reliable development, resilience, and fast recovery. Data-driven, outcome-focused decisions. Validates ideas with data, plans for schema evaluation, and aligns features with real user impact. Key responsibilities Successful candidates will take a leading role within our Engineering Centre of Excellence in Mumbai, with day to day responsibilities which will include: Lead and mentor a team of engineers, fostering a culture of collaboration and continuous improvement. Oversee the planning and execution of projects, ensuring alignment with business objectives and timelines. Provide technical guidance and expertise to the team, promoting best practices in engineering. Collaborate with cross-functional teams to understand requirements and deliver effective solutions. Implement and maintain ELT (Extract, Load, Transform) processes using scalable pipelines and data architecture. Ensure data integrity and quality across various data sources. Support data-driven decision-making by providing clean, reliable, and timely data. Design, develop, and maintain the data models used by ML Engineers, Data Analysts and Data Scientists to access data. Conduct exploratory data analysis to uncover patterns and trends. Identify opportunities for process improvement and drive continuous improvement in operations. Stay updated on industry trends, technologies, and best practices in engineering. Opportunity This role offers an excellent platform for experienced engineers to take their career to the next level. You will have the opportunity to make a significant impact on our product roadmap, contribute to scaling our technical capabilities, and work in a dynamic environment that values innovation and continuous learning. About you We are seeking to onboard candidates with a proven track record in engineering, demonstrating strong technical leadership skills and a passion for building high-quality, scalable products. Excellent teamwork, adaptability, and a strategic mindset are essential to being successful in this role. The Ideal Candidate Professional experience in engineering or full-stack software engineering. Proven experience in managing and developing junior engineers. Strong proficiency in one or more programming languages commonly used in engineering, such as Python or Java. Extensive experience with database systems, including SQL and NoSQL databases. In-depth knowledge of cloud data platforms like AWS or Azure (e.g., S3, Redshift, Glue, Data Factory, Azure Synapse, etc.). Experience with CI/CD practices for data solutions. Proven ability to take ownership over outputs and drive complex data projects to completion. Highly adaptable and comfortable working in ambiguous, problem-solving environments. Strong evidence of teamwork and successful cross-functional delivery; including particularly with customers, Product, Marketing, and Sales. Excellent communication, leadership, and collaboration skills. Process We have a rigorous, but streamlined recruitment process, which respects the time of candidates and portfolio companies alike. This process starts with a 15-minute call with a member of our Talent Acquisition team, followed by a meeting with representatives from BC's Engineering Centre of Excellence. Please note that our roles are primarily office based, with modern and well-connected office locations in both Andheri East and Navi Mumbai.

BFSI Enterprise Director Location: Mumbai, India As part of our rapidly expanding Enterprise business, we are looking for a BFSI Leader to scale the business in the India region. You will lead a team of professionals and be responsible for multiplying consumption, new customer acquisition, and developing the ecosystem. You will inherit a team of seasoned campaigners, passionate about building a data ecosystem in the India region, technically knowledgeable, and have a desire to help customers and partners succeed. You will report to the Head of Enterprise business, India Region. The Impact You Will Have: Scale a team of motivated Enterprise Account Executives to increase growth in the BFSI domain. Inspire a culture of teamwork, leading with value, and achieving desired customer outcomes. Develop trust-based relationships with customers and partners to ensure long-term success. Encourage learning and ongoing understanding of technical product details and our future product roadmap. Lead our BFSI Enterprise growth plans, ensure forecast accuracy, and drive a predictable, high-growth business. What We Look For: Desire to build a collaborative, inspired team culture. Alignment with our core values: customer obsession, teamwork, ownership, and data-driven decision making. 15+ years of experience building a high-growth sales team serving BFSI customers. Experience in the Big Data, Cloud, or SaaS Sales industry. A history of exceeding sales quotas in similar high-growth Enterprise software companies. Understanding of value selling and structured methodologies (e.g., MEDDPICC, Challenger, Command of Message). Knowledge of developing the partner ecosystem to help grow strategic enterprise territories. Success in implementing strategies for usage and booking-based sales revenue models. Enterprise BFSI experience coupled with Cloud Data & AI experience is highly desirable. About Databricks: Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe, and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake, and MLflow. Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

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.

Position: Sr. Network & Security Engineer Location: Andheri, Saki Naka, Mumbai Employment Type: Full-Time, Permanent About Swan Solutions: Swan Solutions is a rapidly growing IT Infrastructure service provider with a turnover of 500 Crore. Headquartered in Mumbai, the organization has been successful for over 33 years. Swan partners with industry leaders like HP, Cisco, Microsoft, VMware, and NetApp, delivering IT solutions to BFSI, PSU, SMBs, and corporate houses. We specialize in IT hardware and networking solutions, including servers, blades, peripherals, networks, and cloud technologies. Culture at Swan: At Swan, we encourage innovation and embrace challenging IT projects while having fun and celebrating the people who make it all happen. Our open-door culture allows everyone with a good idea to voice it and collaborate in transforming ideas into reality. Accountable, vibrant, willing to learn, independent, and impactful are key attributes of the Swan team. Job Role: Sr. Network & Security Engineer As a Senior Network & Security Engineer, you will be responsible for designing, configuring, and maintaining network infrastructure while ensuring robust security protocols are in place to protect the organization's IT systems. Key Responsibilities: Network Engineering: Design, configure, and deploy network solutions, including LAN, WAN, and WLAN. Optimize network performance and troubleshoot issues to ensure network availability and reliability. Implement and maintain network protocols, routing, and switching configurations. Collaborate with IT teams to integrate network solutions with existing systems. Monitor network traffic and performance using network management tools. Security Engineering: Develop and implement security policies, procedures, and standards to protect network infrastructure and data. Conduct regular security assessments, vulnerability scans, and risk analyses to identify and mitigate threats. Design and implement firewalls, intrusion detection/prevention systems (IDS/IPS), and other security measures. Monitor security incidents and respond to security breaches or threats. Stay updated on the latest security threats and trends to enhance defenses. Documentation and Reporting: Create and maintain comprehensive documentation of network configurations, changes, and security protocols. Prepare regular reports on network performance, security incidents, and compliance status. Required Skills and Experience: Education: Bachelor s degree in Computer Science, Information Technology, or a related field. Experience: Minimum of 7 years of experience in network engineering. Strong understanding of network technologies (LAN, WAN, WLAN) and protocols (TCP/IP, routing, switching). Experience with network design, configuration, and troubleshooting. Knowledge of security best practices and tools (firewalls, IDS/IPS, VPNs). Proficiency in network management tools and scripting languages (e.g., Cisco IOS, Ansible, Python). Excellent communication and problem-solving skills. Ability to work independently and collaboratively within a team. Preferred Qualifications: Certifications such as CCNA, CCNP, or CCIE. Experience with cloud networking and virtualization. Knowledge of cybersecurity frameworks (e.g., NIST Cybersecurity Framework, CIS Controls). Qualification : Bachelors degree in Computer Science, Information Technology, 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: Software Engineer (AI/ML) Location: Mumbai Job Type: Permanent Education: Any Graduate / Post Graduate Experience: 2 to 3 years Openings: 3 What You Will Do: Design, develop, and deploy machine learning models and AI-driven solutions. Pre-process and analyze large datasets to derive actionable insights. Implement and optimize deep learning models, including Natural Language Processing (NLP) and computer vision. Develop and fine-tune algorithms for classification, prediction, and recommendation systems. Leverage cloud platforms (AWS, Azure, GCP) for model training and deployment. Optimize ML models for performance, scalability, and real-time inference. Collaborate with data engineers to build efficient data pipelines. Stay updated with the latest AI/ML advancements and integrate best practices into development. Work closely with cross-functional teams to understand business requirements and deliver AI solutions. Qualifications: Experience: 2-3 years in AI/ML development. Technical Skills: Strong programming skills in Python and experience with libraries like TensorFlow, PyTorch, and Scikit-Learn. Hands-on experience in deep learning, NLP, and computer vision. Expertise in handling large datasets and data pre-processing techniques. Experience in deploying ML models using cloud platforms (AWS SageMaker, Azure ML, GCP AI). Solid knowledge of machine learning algorithms, model evaluation, and hyperparameter tuning. Familiarity with database technologies (SQL, NoSQL) and big data frameworks (Spark, Hadoop). Experience in data pre-processing for structured and unstructured data (text, audio, video). Knowledge of document processing, Vision AI, Audio AI, and building AI-driven systems using Langchain and Rasa. Experience building AI chatbots and voicebots. Familiarity with DevOps and CI/CD for cloud platforms (AWS, Azure, GCP). Experience working in Agile SDLC with an iterative development mindset. Strong logical, analytical, and creative thinking, with a passion for problem-solving. Qualification : Any Graduate / Post Graduate

Job Title: Senior Software Engineer (AI/ML) Location: Mumbai Job Type: Permanent Education: Any Graduate / Post Graduate Experience: 4 to 6 years Openings: 2 What You Will Do: Design, develop, and deploy machine learning models and AI-driven solutions. Pre-process and analyze large datasets to extract meaningful insights. Implement and optimize deep learning and NLP models for various applications. Develop and fine-tune algorithms for classification, prediction, and recommendation systems. Leverage cloud platforms (AWS, Azure, GCP) for model training, deployment, and scalability. Optimize ML models for high performance, scalability, and real-time inference. Collaborate with data engineers to build efficient and reliable data pipelines. Stay updated with the latest advancements in AI/ML technologies and best practices. Work closely with cross-functional teams to understand business requirements and deliver AI solutions that address key business challenges. What Qualifications You Will Need: Experience: 4-6 years in AI/ML development, with a focus on building real-world AI systems. Technical Skills: Strong programming skills in Python, with hands-on experience in libraries like TensorFlow, PyTorch, and Scikit-Learn. Proficiency in deep learning, NLP, and computer vision. Expertise in working with large datasets and employing data pre-processing techniques. Experience in deploying machine learning models using cloud platforms (AWS SageMaker, Azure ML, GCP AI). Solid understanding of machine learning algorithms, model evaluation, and hyperparameter tuning. Familiarity with database technologies (SQL, NoSQL) and big data frameworks (Spark, Hadoop). Experience in data pre-processing for both structured and unstructured data (e.g., text, audio, video). Knowledge of document processing, Vision AI, and Audio AI technologies. Experience building AI agentic systems using Langchain and Rasa. Hands-on experience with developing AI chatbots and voicebots. Familiarity with DevOps practices and CI/CD pipelines (AWS, Azure, GCP). Experience working in Agile SDLC with an iterative development mindset. Strong logical, analytical, and creative problem-solving abilities. Qualification : Any Graduate / Post Graduate

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!