Data Driven Farming Solutions Jobs in Bengaluru

Position: Lead Product Analyst Location: Bengaluru Department: Product Job Type: Full-time Industry: FinTech / Product Analytics About Tide At Tide, we re on a mission to help small and medium enterprises (SMEs) save time and money. We provide them with business accounts, banking services, and a comprehensive suite of connected administrative solutions from invoicing to accounting. Tide is revolutionizing the small business banking market, with over 1.6 million members globally across the UK, India, Germany, and France. We re committed to creating a seamless, data-driven experience for our members through innovative technology and quick, low-fee services. About the Role As a Lead Product Analyst, you ll play a crucial role in shaping and influencing the Acquiring Product strategy, including POS, T2P, and Digital initiatives. You ll leverage your expertise in data analytics to uncover insights that drive merchant growth, optimize pricing, and improve portfolio performance. You will be a hands-on expert who works closely with cross-functional teams in Product, Marketing, Commercial, and Data Science, ensuring data-driven decisions power the product roadmap. This is an exciting opportunity for someone who thrives in a high-impact, high-autonomy environment and can both lead and execute. You ll be responsible for driving multiple initiatives simultaneously, creating clarity from ambiguity, and providing actionable insights that influence strategic decisions. Key Responsibilities Product Strategy Influence: Shape the strategy for Acquiring Products by identifying product and marketing opportunities based on data insights. End-to-End Analytics Projects: Lead analytics projects from beginning to end including problem definition, hypothesis framing, stakeholder alignment, insight delivery, and storytelling. Deep-Dive Analyses: Conduct in-depth analyses of the merchant lifecycle, including acquisition, activation, engagement, retention, pricing sensitivity, and churn triggers to inform product and marketing strategies. KPI Definition & Monitoring: Define and monitor key performance indicators (KPIs) for new product launches and ongoing performance to ensure alignment with impact metrics. Collaboration with Cross-Functional Teams: Partner with Product, Marketing, and Finance teams to uncover growth opportunities, measure performance, and provide data-driven recommendations for product strategy. Advanced Data Analysis: Use SQL and Python to explore large datasets, conduct statistical analyses, build segmentations, and test hypotheses. Innovation & Scalability: Proactively identify new areas for analytics contribution. Introduce fresh ideas, scalable analytical frameworks, and approaches to enhance the overall impact of data insights. Mentorship & Advocacy: Coach other analysts and stakeholders, fostering a culture of data-driven decision-making and elevating the business s analytical maturity. Data Storytelling: Translate complex data into clear, actionable business stories and visualizations using tools like Looker or other BI tools. What We Are Looking For Experience 10+ years of analytics experience, preferably in a high-growth product or SaaS company. Proven track record in product analytics, particularly within the merchant acquiring or digital payments domain. Strong Analytical Skills Expertise in SQL for complex querying and Python for data analysis or prototyping. Strong understanding of merchant lifecycle analytics, including acquisition, activation, engagement, and retention metrics. Strategic & Commercial Mindset Deep understanding of how to use data to optimize pricing, target specific customer segments, and drive product performance. Ability to prioritize initiatives based on business impact and alignment with strategic goals. Influence & Leadership Proven ability to influence senior stakeholders and drive change without direct authority. Comfortable in high-autonomy, high-impact environments, taking the initiative and owning outcomes. Communication Skills Ability to convert complex data into clear, compelling narratives that resonate with both technical and non-technical stakeholders. Proficiency in using BI tools (Looker, Tableau, etc.) to visualize and communicate insights effectively. Self-Motivation A self-starter who can work independently, take initiative, and lead multiple projects simultaneously. What You ll Get In Return Competitive Salary: Competitive compensation and performance-based bonuses. Health Insurance: Self & family health insurance along with OPD benefits. Life & Accident Insurance: Comprehensive protection with term & life insurance. Mental Wellbeing: Access to Plumm, a mental wellbeing platform for therapy sessions and courses. Learning & Development: An annual budget for courses, books, and coaching to help you grow. Stock Options: Equity options that allow you to benefit from Tide s future success. Work From Home Setup: A contribution toward setting up your home office. Time Off: 15 days of privilege leave, 12 days of casual leave, 12 days of sick leave, and 3 paid days off for volunteering or L&D activities. At Tide, we re Member First, Data Driven, and One Team. Our Working Out of Office (WOO) policy allows you to work from anywhere in the world for up to 90 days a year. We embrace flexible working hours, trust our employees to manage their own schedules, and foster a collaborative, supportive team culture.

Staff Software Engineer AI & Automation Location: Bengaluru Company: Okta, The World s Identity Company Experience: 8+ Years Type: Full-Time About Okta Okta is the world s leading identity platform. We empower people to securely access any technology, anywhere, on any device. With products like the Okta Platform and Auth0, we place identity at the core of business security, enabling growth through safe digital transformation. At Okta, we value diverse perspectives and experiences. We believe in learning, collaboration, and building an inclusive environment where everyone belongs. About the Team The Business Technology - Shared Services team is at the forefront of Okta s internal digital transformation. We focus on building intelligent, automated platforms that simplify operations and deliver smarter, faster experiences to both employees and customers. We collaborate across engineering, data science, security, and business units to deliver cutting-edge solutions powered by Generative AI (GenAI), virtual agents, workflow orchestration, and intelligent recommendations. The Opportunity As a Staff Software Engineer, you ll play a critical role in designing and developing AI-powered platforms that drive automation, scale, and intelligence across Okta s business. You ll help make LLM-powered solutions and intelligent automation a reality for the enterprise ensuring performance, security, and reliability at scale. This is a hands-on, individual contributor (IC) role, ideal for engineers who are passionate about solving complex problems, architecting scalable systems, and pushing the boundaries of AI integration. What You ll Do Design & Build: Develop scalable backend services that embed GenAI and automation into core business workflows (e.g., virtual agents, document intelligence, smart routing). Collaborate Across Teams: Work closely with product managers, data scientists, and other engineers from ideation to production. Architect for Scale: Make key architectural decisions around LLM integration, API design, data flow, and observability. Code with Excellence: Write clean, secure, and maintainable code in Python, Java, or similar languages. Build for Production: Use Docker, Kubernetes, and CI/CD pipelines to build and deploy high-availability services. Champion Best Practices: Promote high standards for testing, security, code reviews, and operational readiness. Mentor & Guide: Support a collaborative team culture through peer mentorship and design reviews. What You ll Bring 8+ years of experience in software engineering with a strong track record of building and maintaining production-grade, cloud-native services. Expertise in distributed systems, API development, and cloud infrastructure (AWS, GCP, or Azure). Proficiency in Python, Java, or Go. Experience with Docker, Kubernetes, and observability tools (e.g., Prometheus, Grafana, ELK). Exposure to AI/ML concepts and eagerness to work with LLMs, NLP, or automation platforms. A strong sense of ownership, collaborative mindset, and a bias toward action. Passion for learning and working with emerging technologies especially in the AI and automation space. Why Join Okta Make AI Real: Help move GenAI from experimentation to enterprise-wide impact. Build with Purpose: Work on challenges that simplify and secure Okta s internal operations. Grow in a Human-Centered Culture: Join a humble, technically driven team that values learning, excellence, and personal growth. Join Okta and shape how identity, AI, and automation come together to power the modern enterprise.

Job Title: Specialist Software Engineering Location: Bengaluru Type: Full-Time Level: Senior Engineer About BetaNXT BetaNXT is redefining connected wealth management infrastructure with next-gen, real-time data solutions that streamline operations, enhance advisor productivity, and elevate the investor experience. By combining the strength of our trusted platforms Beta, Maxit, and Mediant we deliver flexible, scalable solutions that anticipate the evolving needs of the wealth management industry. We help firms transform legacy systems into strategic assets, enabling enterprise scale, cost efficiency, and accelerated growth. About the Role We are looking for a Specialist Software Engineering to join our Product Engineering team. This is an exciting opportunity for an experienced and technically driven engineer passionate about enterprise integration, legacy modernization, and building mission-critical systems. You ll play a key role in developing complex software solutions, collaborating with architects and cross-functional teams, and helping shape the next generation of our platform. Key Responsibilities Lead the design, development, and enhancement of complex software components and systems. Collaborate with Solution Architects and other stakeholders to define scalable, efficient solutions. Develop and maintain both new features and legacy systems in alignment with business and technical requirements. Conduct unit and integration testing to ensure software quality and compliance. Perform code reviews, provide feedback, and mentor junior engineers. Contribute to architectural discussions, risk assessments, and solution planning. Participate in Agile planning, providing effort estimates and technical inputs. Maintain clear, detailed technical documentation to support future maintenance and development. Provide regular progress updates, and support production systems and on-call rotations when needed. Drive knowledge sharing and help build technical capability across the team. Qualifications & Experience Must-Have 7+ years of experience in Enterprise Application Integration and Mainframe Technologies. Deep expertise in COBOL, JCL, CICS, DB2, VSAM, including CICS Web Services and Transaction Server 3.1. Experience with integration technologies: IBM Integration Bus (IIB 10) IBM App Connect Enterprise (ACE 12) IBM MQ Series, IBM DataPower Proficiency with mainframe tools: TSO, File-Aid, Syncsort, Platinum, Abend-Aid, Mainview Familiarity with JCL utilities and version control systems such as ChangeMan. Understanding of performance tuning metrics: CPU usage, response time, network latency, etc. Proven experience working in Agile/SCRUM teams. Strong analytical thinking, collaboration, and communication skills. Good to Have Exposure to modern DevOps practices, GIT, or CI/CD pipelines. Master s degree or relevant professional certifications. Work on high-impact platforms powering the wealth management industry. Be part of a modernization journey transforming legacy infrastructure into future-ready systems. Collaborate with cross-functional, global teams in a fast-paced and inclusive environment. Grow within a company that values technical excellence, innovation, and continuous learning. Qualification : Masters degree or relevant professional certifications

Job Title: Senior Data Business Partner Location: Bengaluru Department: Data & Analytics Experience: Senior-level Company: OSB India (Offshore subsidiary of OSB Group) About OSB India: OSB India (OSBI) is a wholly owned offshore subsidiary of OSB Group, a leading UK financial services provider. Established in 2004, OSBI delivers exceptional customer support and operational services to the Group s UK brands. Known for driving process excellence, innovation, and functional efficiencies, OSBI is a key strategic arm supporting the Group s long-term goals. Role Overview: We are looking for a Senior Data Business Partner to bridge the gap between business and data analytics. In this role, you will collaborate with business leaders to identify analytical needs, design data-driven solutions, and drive adoption of data across the organization. This is a high-impact role requiring strong analytical acumen, stakeholder management skills, and a passion for delivering insights that support strategic decision-making. Key Responsibilities: Build trusted relationships with business stakeholders to understand their data needs and priorities. Collaborate cross-functionally to translate complex business challenges into data solutions. Lead in-depth analysis using market-standard algorithms and modelling techniques. Ensure adherence to Data Governance standards, policies, and controls. Deliver timely, accurate, and well-documented data content and insights. Advise on analytics delivery planning across projects and business functions. Enable self-service analytics by training business users on available tools and platforms. Advocate and implement innovations in AI, Machine Learning, and data analytics. Partner with Data Engineering and Architecture teams, ensuring adherence to technical standards and best practices. Present findings and strategic insights to senior management and governance forums. Mentor team members on analytical approaches and best practices. Promote a culture of continuous improvement, innovation, and high-quality data usage. Champion the use of central data repositories, relational models, and the Data Warehouse to deliver consistent and reliable BI outputs. Identify risks related to data or projects and escalate when necessary. Support internal training efforts to improve data literacy across departments. Ensure compliance with Risk Management and Data Governance policies. Stay current on industry trends, tools, and technologies to enhance analytics capability. Candidate Profile: Qualifications: Bachelor s or Master s degree in Data Science, Computer Science, Business Analytics, Statistics, or a related field. Certifications in data analytics, data science, or relevant tools/platforms are a plus. Experience: 6+ years in a business-facing data analytics role, ideally within financial services or technology. Strong experience in data analysis, modelling, and data storytelling. Proven ability to work with senior business stakeholders and executive teams. Experience in mentoring and leading analytics professionals. Demonstrated expertise in translating business needs into actionable insights. Technical Skills: Proficiency in tools such as Power BI, Tableau, SQL, Python/R, or Excel for data analysis. Familiarity with data warehousing, ETL processes, and relational databases. Understanding of data governance, risk, and compliance frameworks. Exposure to AI/ML applications in business contexts is a strong advantage. Behavioral Competencies: Excellent communication and presentation skills. Strong business acumen with the ability to drive value from data. Strategic thinking with a problem-solving mindset. Collaborative, adaptable, and proactive. At OSBI, we believe in empowering individuals to grow both personally and professionally. Whether you re early in your career or a seasoned expert, we provide an inclusive and supportive environment to help you thrive. Be a part of a connected organization where your contributions make a difference and your career is a journey, not a destination. Qualification : Bachelors or Masters degree in Data Science, Computer Science, Business Analytics, Statistics, or a related field

Lead - Salesforce Development Department: Software Engineering Job Type: Full Time Location: Banglore JOB DESCRIPTION: We are looking for a Sr. Software developer/Lead to join our Salesforce team. The team is responsible for the end to end product development including the APIs and UI for the features, security and performance aspects, As a developer you will collaborate with product managers, quality engineers, and other top notch software engineers to design and implement features for our Qualityze Suite of products on force.com platform. RESPONSIBILITIES: Lead feature and architecture design with a major focus on force.com platform. Hands on design and development of custom solutions on the force.com platform including significant work in Apex, Visual Force and application integration patterns. Have a passion for quality and writing clean,solid, readable code thatscales and performs well. Adopt, embrace, and promote agile and test driven practices with your peers. Value team excellence over individual productivity. Designs and implements business technology solutions focused on cloud based business applications, specifically force.com. Release and Environment Management including sandbox usage planning, metadata and data migration, environment comparisons and version control. Participate and promote architectural initiatives, balancing long term velocity with short term customer needs. REQUIRED SKILLS AND EXPERIENCE: Good experience building large scale, data driven web applications. Hands on experience on Java. In depth Knowledge of databases and experience with SQL and relational schema design

Senior Associate Data Engineering L2 Location: Bengaluru, India Department: Engineering Data Employment Type: Full-Time About the Role As a Senior Associate Data Engineering (L2) at Publicis Sapient, you will lead technical solutions that drive digital transformation by building scalable, high-performance data platforms. You ll be responsible for translating business and technical requirements into modern, data-centric solutions using Big Data technologies, cloud services (Azure), and advanced data engineering practices. Key Responsibilities Design and implement data ingestion, integration, and transformation processes from multiple heterogeneous sources in both batch and real-time. Build scalable data platforms using Hadoop stack components such as HDFS, Kafka, Spark, Hive, NiFi, Oozie, Airflow, Flink, and Storm. Develop real-time analytics, aggregation, and search features to support various data-driven applications. Collaborate closely with cross-functional teams on data infrastructure, computation frameworks, and data visualization. Apply cloud-native principles and Azure services to build and deploy data pipelines. Ensure performance optimization and data pipeline tuning. Work with NoSQL and MPP platforms like MongoDB, Cassandra, Redshift, Azure SQL DW, HBase, BigQuery. Contribute to infrastructure, automation, and DevOps for data pipelines using CI/CD practices. Ensure data governance, lineage, and cataloging using tools like Collibra or Alation. Required Qualifications 6 8 years of professional experience in software/data engineering. Minimum of 3 years hands-on experience with Big Data technologies. Strong programming expertise in Java (preferred), Scala, or Python. Expertise in the Hadoop ecosystem and real-time stream processing tools (Kafka, Pulsar, Spark Streaming, etc.). Hands-on experience with Azure data services (e.g., Data Factory, Synapse, ADLS, Databricks). Experience working with modern ETL tools (Informatica, Talend, etc.) and traditional RDBMS platforms (Oracle, PostgreSQL, SQL Server, MySQL). Bachelor's degree in Computer Science, Engineering, or related field. Nice to Have Certifications in Azure Data Engineer, GCP Big Data, or related cloud specializations. Experience with distributed messaging frameworks (ActiveMQ, RabbitMQ, Solace). Familiarity with microservices architecture and search technologies (Elasticsearch). Performance tuning of distributed data processing systems. Exposure to data governance, security, and metadata management. Benefits and Culture at Publicis Sapient Gender-neutral workplace policies 18 paid holidays annually Generous parental leave + new parent transition support Flexible work arrangements Access to Employee Assistance Programs (wellness & well-being) A dynamic culture focused on learning, creativity, and collaboration Qualification : Bachelor's degree in Computer Science, Engineering, or related field.

Job Title: Engineering Manager Data Engineering Location: Bengaluru, Karnataka, India Department: Engineering Experience: 6 to 8 years Open Positions: 2 About the Role As an Engineering Manager - Data Engineering, you will lead a team of skilled data engineers who design, build, and maintain scalable data pipelines and infrastructure. You will collaborate with cross-functional teams and client stakeholders to deliver high-quality data systems that meet business goals. Your leadership will be pivotal in mentoring your team, driving project execution, and advancing data engineering capabilities across the organization. Key Responsibilities Lead, mentor, and develop a team of data engineers, fostering a collaborative and inclusive work environment. Conduct performance reviews, provide constructive feedback, and set clear goals for team members. Identify skill gaps and create opportunities for continuous professional growth. Plan, execute, and deliver data engineering projects on schedule and within scope. Coordinate with stakeholders to gather requirements, prioritize tasks, and define project timelines. Ensure all projects align with broader business objectives and data strategies. Oversee design, development, and maintenance of data pipelines, ETL processes, and data warehouses. Guarantee data quality, integrity, and security in all data engineering initiatives. Identify and drive process improvements to enhance efficiency and effectiveness in data operations. Manage client conversations to understand requirements and translate them into technical deliverables. Build and promote reusable frameworks to drive efficiency in data systems. Lead multiple projects involving streaming, batch, and large-scale data pipelines. Required Technical Skills Strong execution knowledge of data modeling, relational and non-relational databases (SQL and NoSQL). Expertise with ETL and orchestration tools such as IICS, Metatron, Airflow, Azure Data Factory, AWS Glue, or GCP Composer. Experience working with data warehouses like Snowflake, Redshift, Hive, or BigQuery. Proficiency in Apache Spark and optimization of Spark jobs. Strong programming skills in Python (mandatory), with knowledge of Scala, Rust, or Java as a plus. Understanding of Medallion architecture patterns. Advanced SQL skills with query optimization expertise. Experience with software development lifecycle, unit testing, and functional programming concepts. Required Non-Technical Skills Strong problem-solving skills with the ability to assess financial impacts of decisions. Excellent written and verbal communication skills, capable of engaging with mid-management client stakeholders. Ability to balance pragmatic solutions against perfect ones, driving team consensus and business value. Exceptional people management skills, including conflict resolution, empathy, negotiation, and active listening. Proven leadership and mentorship abilities, providing technical guidance to delivery teams. Self-driven, with a strong sense of ownership and accountability. Preferred Educational Qualifications Bachelor s degree in Engineering (B.E./B.Tech), MCA, or M.Sc. (Mathematics, Statistics). Lead and mentor a talented team working on cutting-edge data engineering projects. Collaborate closely with clients and cross-functional teams in a dynamic, fast-growing company. Drive innovation with scalable, high-impact data solutions. Grow your leadership and technical skills in a supportive, inclusive environment. Qualification : Bachelors degree in Engineering (B.E./B.Tech), MCA, or M.Sc. (Mathematics, Statistics).

Position Title: Lead AI/ML Engineer Location: Bengaluru Bellandur (GTP) Employment Type: Full-time Job Summary Synechron is seeking a seasoned Lead AI/ML Engineer to lead cutting-edge initiatives in artificial intelligence and machine learning. This role requires deep technical expertise in AI/ML, including deep learning, NLP, computer vision, and generative AI, combined with strong leadership skills to manage teams and drive innovation. You will collaborate closely with stakeholders to deliver high-impact solutions and play a key role in shaping the company s AI-driven digital transformation. Key Responsibilities Lead end-to-end development of AI/ML solutions across use cases involving machine learning, deep learning, computer vision, NLP, and generative AI. Design and implement scalable models and algorithms, ensuring performance, accuracy, and interpretability. Collaborate with product owners, engineers, and business stakeholders to align AI/ML initiatives with strategic objectives. Mentor and guide data scientists and ML engineers to elevate technical quality and delivery standards. Continuously evaluate emerging AI technologies, frameworks, and methodologies to enhance team capabilities. Contribute to innovation strategy by identifying new business opportunities driven by AI/ML. Ensure data and model governance, ethical AI practices, and responsible deployment of AI solutions. Required Skills & Tools Core Competencies: Strong hands-on experience in machine learning, deep learning, NLP, computer vision, and generative AI. Expertise in Python (primary), with additional knowledge of R, SQL, Java, or C++. Deep understanding of statistics, linear algebra, probability, and algorithm design. Frameworks & Tools: TensorFlow, PyTorch, Keras, OpenCV, Hugging Face, spaCy, Scikit-learn, etc. Data processing tools like Pandas, NumPy, and Spark. Version control and CI/CD tools (e.g., Git, MLflow, Docker, Airflow). Methodologies: Proficient in Agile development and model lifecycle management. Experience with productionizing AI models and deploying them on cloud platforms (AWS, Azure, GCP). Experience 8 12 years of experience in AI/ML, Data Science, or related domains. Minimum 8+ years in a leadership or technical lead role driving successful AI/ML initiatives. Proven record of delivering high-impact AI/ML projects at scale. Experience mentoring and managing AI/ML teams in collaborative, cross-functional environments. Day-to-Day Activities Direct and oversee AI/ML model development, validation, deployment, and monitoring. Review project designs, provide technical oversight, and conduct code/model reviews. Drive research and experimentation to apply novel AI methods to solve real-world problems. Support proposal development and client engagements with AI/ML subject matter expertise. Foster a culture of continuous learning, innovation, and data-driven thinking. Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Relevant certifications (e.g., TensorFlow, AWS Machine Learning, Azure AI Engineer) are a plus. Soft Skills Strong leadership, team management, and mentoring capabilities. Excellent communication and stakeholder engagement skills. Strategic thinking with a passion for innovation and emerging technologies. Ability to thrive in a dynamic, fast-paced environment and lead through ambiguity. Diversity & Inclusion at Synechron Synechron is committed to a diverse and inclusive workplace. Through our Same Difference DEI initiative, we celebrate unique backgrounds and perspectives while fostering a respectful, empowering environment. We welcome applications from candidates of all identities and provide support through mentoring, internal mobility, and flexible work arrangements. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

Project Manager (Implementation Manager) Location: Bangalore, India About MaxVal MaxVal, established in 2004, is a leader in IP services focused on efficiency, cost-effectiveness, and continuous improvement driven by metrics-based processes. We pioneered tech-enabled IP solutions well before it became industry standard and today serve over 600 clients worldwide with sophisticated products and services. Our team of 725+ IP and tech experts continuously innovate to achieve both customer and employee success. Job Overview The Implementation Manager leads end-to-end delivery of Symphony implementation projects, ensuring client satisfaction, timely execution, and quality. This role requires strong communication, project planning, issue resolution, and cross-team coordination to successfully deploy and transition Symphony, MaxVal s Intellectual Property Management Software. Key Responsibilities Develop, maintain, and secure client approval for detailed project plans. Establish and manage clear communication channels with clients and internal teams throughout project lifecycle. Analyze project requirements, propose solutions, and secure management support to meet deadlines. Lead complete implementation process, ensuring smooth handover to support post-go-live. Identify and propose Change Requests and additional revenue opportunities beneficial to clients. Deliver client requirements on time, maintaining quality and adherence to Statement of Work (SOW). Coordinate with Product Engineering, Support, Annuities, Rules, and Paralegal teams for seamless project delivery. Drive at least three process improvements to optimize project delivery and client support. Keep functional bugs within defined limits for all production releases. Proactively communicate potential risks and schedule impacts to clients and management. Provide accurate project status updates as requested by management. Train self and team members on implementation methodologies and client data validation. Requirements Proven hands-on Project Management experience using industry tools. Strong skills in project estimation, planning, costing, and proposal/RFP development. Understanding of design and solution processes preferred. Experience managing fixed-price projects, controlling scope creep, and optimizing resource usage. Excellent verbal and written communication skills.

Director Data Management (Data Migration & Automation) Location: Bangalore, India About MaxVal Founded in 2004, MaxVal is a pioneer in IP services focused on efficiency, cost-effectiveness, and continuous improvement driven by metrics-based processes. Our technology-driven IP solutions serve over 600 clients globally. With a talented team of 725+ IP and tech experts, MaxVal continuously innovates to deliver exceptional customer and employee success. Job Summary MaxVal is looking for an experienced and visionary Director of Data Migration and Automation to lead our data migration initiatives. You will oversee migrating data from various IP solutions to our software platform, ensuring accuracy, integrity, and efficiency through automation. This leadership role requires strategic thinking, strong domain expertise in Intellectual Property, and the ability to inspire and guide a team of specialists. Key Responsibilities Team Leadership & Management Lead, mentor, and empower a team of Data Migration specialists, ensuring resources and guidance for successful project delivery. Cultivate a collaborative, client-centric culture within the team. Data Mapping & Transformation Design comprehensive data mapping and transformation plans aligning external IP data with MaxVal s platform. Maintain data integrity and consistency throughout migration. Competitor Data Analysis Analyze competitor IP data structures and models to inform effective migration strategies. Automation System Development Architect and develop automation solutions to streamline migration workflows, including data mapping and transformation. Create processes and scripts to automate repetitive tasks and enhance efficiency. IP Domain Expertise Utilize deep knowledge of IP data types (patents, trademarks, copyrights, legal entities). Collaborate with legal experts to ensure precise migration of IP information. Technical Integration & Customization Partner with technical teams to embed automation into migration workflows. Customize automation tools to accommodate unique IP and legacy system requirements. Quality Assurance & Testing Define QA protocols specific to IP data migration. Conduct thorough testing to validate data accuracy and completeness. Stakeholder Engagement Interface with clients to understand migration needs and challenges. Offer expert recommendations to achieve successful migration aligned with client goals. Continuous Learning & Innovation Stay abreast of industry trends, best practices, and emerging technologies in data migration and automation. Drive continuous improvements in automation and migration efficiency. Cross-Functional Collaboration Work closely with product, engineering, and client-facing teams to ensure migration success and contribute to product enhancements. Documentation & Knowledge Sharing Maintain detailed documentation of migration processes and automation workflows. Lead workshops and training to disseminate best practices internally and to clients. Requirements Experience: 15+ years leading data migration projects in software implementations. 10+ years in leadership roles managing and mentoring teams. Expertise: Strong knowledge of data migration methodologies, tools, and best practices. Familiarity with automation tools, database management, and data integration platforms. Deep understanding of the Intellectual Property domain is highly preferred. Skills: Strategic leadership with excellent communication and stakeholder management skills. Ability to drive innovation and build scalable automation solutions.

Senior Software Engineer Cloud Native Protection Location: Bangalore, India About the Team Rubrik s Cloud Native Protection team safeguards customer data on public cloud platforms. With cloud data growing rapidly and cyber threats increasing, the team builds scalable, secure solutions to protect, search, and analyze cloud data efficiently. Operating like a startup within a startup, the team tackles complex engineering challenges in a culture driven by strong engineering values and collaboration. About the Role As a Senior Software Engineer, you will be a key technical leader responsible for driving complex projects, designing scalable cloud-native software, and mentoring team members. You ll work closely with other engineers and cross-functional partners, bringing technical expertise, initiative, and leadership to deliver impactful solutions. What You ll Do Design, develop, test, deploy, maintain, and improve cloud native protection software. Tackle open-ended, complex problems, leading investigation and scoping efforts. Own project execution and ensure successful delivery of assigned work. Mentor and guide junior engineers, fostering their growth. Collaborate with product management, QA, UI/UX, documentation, and support teams. Experience & Qualifications Education & Experience: Bachelor s or Master s degree in Computer Science or related field. 4+ years of professional experience in software development. Technical Skills: Proficient in one or more programming languages: Go, Java, C/C++, Scala, Python. Experience with public cloud platforms (AWS, Azure, GCP) is a plus. Familiarity with Docker, containers, Kubernetes, and microservices architectures is a bonus. Strong understanding of SDLC, design patterns, and software engineering best practices. Leadership & Collaboration: Proven problem-solving skills and attention to detail. Experience reviewing and designing software artifacts with high quality. Strong leadership and communication skills with a track record of mentoring others. Ability to work independently and deliver impactful results on complex projects. Rubrik is committed to securing the world s data through Zero Trust Data Security . Our platform combines machine learning and cloud-native technology to protect enterprises against cyberattacks, insider threats, and operational disruptions, ensuring data availability and integrity even under adverse conditions. Qualification : Bachelors or Masters degree in Computer Science or related field.

Data Scientist II Join the Meesho Tech Team Location: Bangalore, Karnataka | Department: Technology Empower the Future of E-Commerce with Meesho We are looking for an experienced Data Scientist II to join our Avengers-like Data Science team at Meesho. As part of our mission to revolutionize e-commerce in India, we solve complex problems related to fraud detection, inventory optimization, and localized platform experiences that impact millions of users daily. As a mid-level Data Scientist, you ll partner with stakeholders across teams to create data-driven strategies, improve platform performance, and lead initiatives that enable better business outcomes for resellers and end users across Bharat. What You ll Do Design and build predictive models and machine learning solutions using large-scale data Conduct experiments and extract insights from high-volume structured and unstructured data Enhance product usability and surface new growth opportunities through advanced analytics Analyze reseller behavior to deliver personalized product recommendations Design effective discount programs to increase reseller sales performance Identify customer preferences to help resellers better serve their buyers and drive revenue Uncover supply chain inefficiencies and support SLA adherence through data insights Forecast seasonal and regional demand to optimize key business metrics Mentor junior data scientists and contribute to team knowledge-sharing What You ll Need Bachelor s or Master s degree in Computer Science, Data Science, or a related technical field 2 4 years of experience in a Data Scientist role, ideally within a fast-moving B2C tech environment Strong knowledge of Machine Learning algorithms, Neural Networks, and data modeling techniques Hands-on experience with SQL, Python, and R for data manipulation and analysis Strong understanding of statistics, linear algebra, and A/B testing methodologies Demonstrated ability to turn business problems into data science solutions Experience working with product and engineering teams to deliver scalable systems Preferred Qualifications Prior experience solving personalization or recommendation engine problems Familiarity with Big Data technologies like Apache Spark, Hadoop, or Amazon Redshift About Meesho Meesho is India's top-rated e-commerce workplace, revolutionizing online commerce for the next billion users. We empower over 1.75 million sellers through an inclusive, technology-driven platform that offers zero-commission selling, the lowest logistics costs, and access to a massive customer base across every serviceable pincode in India. Our Mission Democratizing Internet Commerce for Everyone Meesho (Meri Shop) aims to help 100 million small businesses succeed online. With relatable merchandise and localized user experiences, we re building a truly inclusive digital shopping ecosystem for underserved markets in India. Our Culture and Benefits Meesho fosters a high-performance and people-first culture. Our workplace philosophy is shaped by 11 guiding principles ("Mantras") and practices like Reflections, Listen or Die, and a robust Internal Mobility Program. Our Total Rewards Include: Competitive compensation packages including performance-based equity Comprehensive wellness through our MeeCare Program covering medical, mental, and financial well-being Flexible leave policies and parental support benefits to ensure work-life balance Relocation support, salary advances, and learning & development assistance Fun, collaborative culture with team engagement events, gifts, and recognition programs We are not just building a company; we re creating a movement. If you re driven by data and inspired to make a difference, come be a part of Meesho s journey to redefine e-commerce in India. Apply today and let's build the future of commerce, together. Qualification : Bachelors or Masters degree in Computer Science, Data Science, or a related technical field

Data Engineer, Product Analytics Location: Bangalore, India Full Time Company: Meta Meta is looking for an experienced Data Engineer to join our Product Analytics team. In this role, you will work on some of the most extensive data sets in the world, crafting experiences for billions of people and millions of businesses. Your technical expertise and analytical mindset will help shape data solutions across Meta to drive user experience optimization, growth, and strategy. You'll work alongside software engineers, data scientists, and product managers to tackle the most interesting data challenges at a scale few companies can match. Key Responsibilities: Conceptualize and own the data architecture for multiple large-scale projects, balancing design and operational cost-benefit tradeoffs. Design and contribute to frameworks that improve logging data efficacy, working with data infrastructure teams to resolve issues. Collaborate with engineers, product managers, and data scientists to understand data needs and represent insights meaningfully. Define and manage Service Level Agreements (SLAs) for all data sets in allocated areas of ownership. Implement and maintain security models based on privacy requirements and ensure safeguards are followed to ensure data quality. Design, build, and launch sophisticated data models and visualizations that support multiple use cases across various products. Address complex data integration challenges using optimal ETL patterns, frameworks, and techniques from structured and unstructured data sources. Optimize existing processes, pipelines, dashboards, and systems to enhance the development of data artifacts. Influence product and cross-functional teams to identify data opportunities that will drive impact. Mentor junior team members by providing constructive feedback and receiving feedback to grow as a team. Minimum Qualifications: Bachelor s degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience. 4+ years of experience in roles focused on data engineering, data analysis, or similar positions, working with SQL, ETL, data modeling, and programming languages (e.g., Python, C++, Scala). Experience with SQL, ETL processes, and data modeling, along with at least one programming language (e.g., Python, C++, C#, Scala). Preferred Qualifications: Master's or Ph.D. degree in a STEM field (Science, Technology, Engineering, Mathematics). About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. Since launching Facebook in 2004, we have revolutionized how people connect. Our apps, including Messenger, Instagram, and WhatsApp, empower billions worldwide. Now, Meta is moving beyond 2D screens towards immersive experiences like augmented and virtual reality, building the next evolution in social technology. When you join Meta, you help shape the future of digital connection, taking us beyond screens, distance, and even the rules of physics. Equal Employment Opportunity: Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Qualification : Bachelors degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.

Senior Manager Business Intelligence | Power BI | Data Strategy | SQL | Bangalore Location: Bangalore, India Reports To: Director, Business Analytics & Insights Experience: 8+ years in Business Intelligence / Analytics Leadership Industry: SaaS | Revenue Lifecycle Management | Data & Analytics About Conga: At Conga, we empower businesses to achieve transformational revenue growth by aligning teams, technology, and processes through our comprehensive Revenue Lifecycle Management solutions. We simplify complexity across contract management, order execution, fulfillment, and renewals using a unified data model built to adapt to dynamic business needs. Our culture is defined by the Conga Way a people-first framework developed with input from employees that guides everything we do from hiring to leadership to innovation. Role Overview Senior Manager, Business Intelligence: We are seeking a highly driven Senior Manager Business Intelligence to lead our Power BI development team, drive analytics strategy, and modernize how we deliver data insights across the organization. Based in Bangalore, this high-impact leadership role is responsible for building scalable reporting infrastructure, streamlining automation, and delivering clear, actionable insights for senior stakeholders and executive decision-makers. Why this role matters: This position plays a critical role in transforming business intelligence from manual reporting to dynamic, real-time dashboards using Power BI. Your contributions will shape how our business leaders consume data, identify opportunities, and make informed decisions faster and with more accuracy. Key Responsibilities: Leadership & Oversight: Manage and mentor a team of Power BI developers and data analysts, guiding prioritization, best practices, and technical problem-solving. Foster a culture of data-driven decision-making across the organization. BI Development & Data Modeling: Lead the development of interactive Power BI dashboards, leveraging advanced DAX functions and data models. Utilize SQL (preferably in Snowflake) to support backend data transformation and reporting. Stakeholder & Project Management: Collaborate with cross-functional teams, including IT and enterprise analytics, to define project scopes, business priorities, and reporting solutions. Translate ambiguous business requirements into clear, actionable technical specifications. Data Governance & Documentation: Implement and oversee data quality, security, and governance standards across all BI assets. Maintain comprehensive documentation for BI tools, data models, and business logic. Automation & Process Efficiency: Oversee automation of recurring deliverables including board reports, senior leadership dashboards, and key business performance metrics. Leverage Power Automate and other workflow tools to reduce manual effort and enhance reporting accuracy. Strategic Data Integration: Partner with enterprise data teams to improve data integration and ensure scalability and reusability of analytics assets. Qualifications: 8+ years of experience in Business Intelligence, Analytics, or Data Strategy, including team leadership. Strong hands-on experience with Power BI, DAX, and SQL (preferably with Snowflake or similar cloud platforms). Proven success in project management, requirement gathering, and stakeholder engagement across multiple business units. Bachelor s or Master s degree in Engineering, Computer Science, or related technical field. An MBA is strongly preferred. Experience in data governance, automation, and working in a SaaS or enterprise software environment is a plus. What Sets You Apart: Excellent communicator You bridge the gap between technical and non-technical stakeholders with ease. Strategic mindset You think beyond dashboards to the big picture of business impact. Problem solver You enjoy tackling complex data challenges and finding innovative solutions. Passionate leader You inspire teams, drive accountability, and bring a growth mindset to everything you do. Drive data transformation at a high-impact SaaS company. Be part of a people-first culture that values growth, innovation, and inclusivity. Work on mission-critical projects that support strategic decision-making for global leadership. Qualification : Bachelors or Masters degree in Engineering, Computer Science, or related technical field. An MBA is strongly preferred.

Location: Bengaluru Designation: Assistant Manager Entity: Deloitte Unleash Your Potential with Deloitte India's impact on the global economy has skyrocketed, and at Deloitte, we offer you an opportunity to unlock your potential by working alongside leaders and organizations that are shaping the future, both in the region and beyond. At Deloitte, we celebrate the whole you. Join us, and you ll be part of a team driven to make an impact that matters by collaborating, innovating, and growing together. About the Team The Technology & Transformation team is about more than just numbers. It s about building upon past achievements, addressing current challenges, and laying the foundation for future success. At Deloitte, we help organizations navigate change, ensuring they stay ahead of the curve. Learn more about the Technology & Transformation Practice. Your Role and Responsibilities As an Assistant Manager (AM) in our Cyber Team, you'll play a key role in building and maintaining positive relationships with both internal teams and clients. Your main goal will be to exceed client expectations and ensure their security and privacy needs are met. Key responsibilities include: Security and Privacy Expertise: Apply knowledge in security and privacy domains such as governance, risk management, compliance, access control, security architecture, incident response, disaster recovery, business continuity, data protection, etc. Industry Standards: Leverage frameworks and standards such as PCI-DSS, ISO/IEC 27001, ISO/IEC 17799, COBIT, ITIL, and others. Risk Management: Demonstrate a deep understanding of security controls and risk management processes. Certifications: Preferably hold certifications like CEH, CISSP, CISA, ISO 27001, ISO 22301, or equivalent. Information Security Management: Assist in ISO 27001-based Information Security Management System (ISMS) implementation and maintenance. Assessing and Improving Security Posture: Evaluate client information security posture, identify risks, and develop solutions to close gaps. Information Security Controls: Review and implement security controls across various areas such as change management, incident management, access management, antivirus management, physical security, etc. Data Privacy: Advise clients on data privacy and information security topics like data leakage prevention and identity management. Client Guidance: Serve as a subject matter expert in security and privacy, supporting clients in developing frameworks and implementing solutions. Audits & Reviews: Conduct information systems audits covering IT infrastructure and advise on best practices for data protection. Desired Qualifications Educational Background: Degree in IT, Computer Science, or related fields. Certifications: PCI-DSS, ISO 27001, ISO 31000, ISO 22301, CISA, ITIL, or equivalent certifications preferred. Other Certifications: CISSP, CEH, GSEC, GCIH, LPT, CCSK, etc. are a plus. Location and Work Style Base Location: Bengaluru Travel: This role involves occasional or frequent travel to client locations. Hybrid Work: Deloitte s default work style is hybrid, tailored to the needs of each domain. Key Expectations for the AM Role As an Assistant Manager at Deloitte, you ll be expected to embrace and live our purpose. You should challenge yourself to identify key issues that matter to clients, your team, and society. Specifically, we expect our AMs to: Inspire and Lead: Lead with integrity, inclusivity, and motivation. Create Purpose: Help shape a vision and purpose that drives positive change. Be Agile: Deliver high-quality results through collaboration and teamwork. Build Diverse Capabilities: Develop and support future capabilities within the team. Influence & Persuade: Ability to influence stakeholders and drive decisions. Collaborate for Solutions: Work together to create new solutions for clients. Drive Value: Leverage business acumen to deliver client value. Expand Business: Spot and leverage new business opportunities. Analytical Thinking: Use data and analytics to inform decisions and recommend impactful solutions. Communication: Effectively communicate and structure ideas for win-win outcomes. Engagement Management: Manage engagements to ensure timely execution and quality results. Adapt to Change: Respond resiliently to changing environments and needs. Manage Quality & Risk: Ensure high-quality results while mitigating risks. Strategic Problem Solving: Apply strategic thinking to solve complex business challenges. Tech Savvy: Use ethical technology practices to create high-impact solutions. Empathy & Inclusion: Foster a safe, inclusive environment where everyone is valued. Growth at Deloitte Connect for Impact: Work alongside exceptional professionals solving complex global issues and making a positive impact on the community, society, and the planet. Empower to Lead: Regardless of your career level, you ll have opportunities to inspire, support, and grow both professionally and personally. Inclusion for All: We value diversity and inclusivity in everything we do. At Deloitte, we are committed to creating a culture where everyone feels respected, valued, and empowered. Drive Your Career: You have the autonomy to shape your career path. With global mobility, cross-business opportunities, and continuous upskilling, you can chart a fulfilling career journey. A Culture of Wellbeing At Deloitte, we prioritize your 360-degree wellbeing. Our workspaces and initiatives cater to your unique needs, including flexibility, accessibility, safety, and support for caregiving. Join us for a workplace where you can thrive. Your Next Step: Unleash Your Potential at Deloitte! Qualification : Degree in IT, Computer Science, or related fields.

About Us While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and take pride in fostering a culture built on transparency, diversity, integrity, learning, and growth. If you want to work in an environment that encourages you to innovate and excel both professionally and personally Quantiphi is the place for you! Role: Sales Lead - Insurance Quantiphi Solving What Matters About the Role We are seeking a highly driven and experienced sales leader to drive growth in the Insurance sector across North America. This role reports to the Senior Client Solutions Partner for Financial Services & Insurance. The ideal candidate should possess: Deep understanding of the Insurance industry landscape Ability to build and manage relationships with Fortune 1000 companies Responsibilities Strategic Account Development Develop and execute account strategies targeting large enterprise Insurance customers in North America Identify and nurture business growth opportunities through strong industry knowledge and C-level engagement Sales Cycle Management Manage full sales cycles, from prospecting and needs assessment to proposal development, negotiation, and closure Present Quantiphi s value proposition to executive audiences, tailored to client-specific needs with clear ROI demonstrations Customer-Centric Approach Understand each client s business drivers, technology landscape, and competitive challenges Showcase how Quantiphi s AI-powered solutions address key challenges such as: Claims processing Underwriting Fraud detection Personalized insurance offerings Enhancing customer experience Relationship Building Establish and grow relationships within target accounts Position yourself as a trusted advisor by offering valuable insights on AI and data science innovations Collaboration & Partnership Work closely with marketing, solutions architects, and delivery teams to ensure seamless execution and client satisfaction Collaborate with alliance partners to extend market reach and enhance solution offerings Forecasting & Goal Achievement Maintain accurate sales forecasts and actively manage pipeline Consistently achieve assigned sales targets Market Expertise Stay updated on Insurance industry trends, Insurtech innovations, regulations, and competitive dynamics Leverage this expertise to identify growth opportunities and strengthen Quantiphi s market position Qualifications Proven success in enterprise sales within the Insurance industry Strong network within the North American Insurance sector, ideally with Fortune 1000 connections Deep understanding of Insurance business challenges and the application of AI and data science to solve them Excellent communication, presentation, and interpersonal skills, with the ability to influence at all levels Experience managing complex sales cycles and negotiating large enterprise deals Strong collaboration skills with the ability to manage multiple stakeholders Bachelor s degree in a relevant field (MBA preferred) Minimum 5 years of enterprise sales experience within the Insurance industry Qualification : Bachelors degree in a relevant field (MBA preferred)

Job Title: Tech Architect Experience: 7 to 10 years Education: B.E./B.Tech, MCA, M.E./M.Tech About HashedIn: We are software engineers solving business problems with a Product Mindset for leading global organizations. By combining engineering talent with business insight, we build software and products that create enterprise value. We thrive in a fast-paced learning environment, driven by extreme ownership and a fun, inclusive culture. If you are a problem solver who thrives in dynamic environments, enjoys working on cutting-edge technologies, and values collaboration and high performance, HashedIn is the place to be! Overview of the Role: As a Tech Architect, you will drive architecture and design decisions, ensuring scalability, performance, and reliability. You will play a critical role in setting up best practices, defining technical roadmaps, and ensuring high-quality delivery. This role requires hands-on technical leadership, a deep understanding of cloud platforms, architecture patterns, and modern engineering practices. Key Responsibilities: Design and deploy resilient APIs, bridging cloud infrastructure with software development. Build and manage data and pipeline management frameworks using Hadoop, Hive, Spark, HBase, Kafka Streaming, Tableau, Airflow, and cloud services like S3, Redshift, Athena, Kinesis, etc. Collaborate with cross-functional teams to build innovative, secure, and cost-effective distributed solutions. Design and develop big data solutions, real-time analytics, and streaming platforms using industry-standard technologies. Own delivery of complex components, ensuring adherence to technical and business requirements. Serve as a team lead or influential individual contributor, driving architecture decisions and best practices. Identify requirement inconsistencies, proactively highlight risks, and maintain clear communication with stakeholders. Create and maintain clear technical specifications, ensuring proper work breakdown and estimation. Support customer communication, handle critical issues, and contribute to client presentations. Set standards for software development processes and deployment methodologies, contributing to team-wide best practices. Desired Skills & Experience: 7-10 years of experience, including at least 4 years as an Application Architect or Data Architect. Strong expertise in Java, Python, UI Development, or Data Engineering. Hands-on experience with GCP, AWS, or Azure cloud platforms. Knowledge of Generative AI-enabled application design patterns is a plus. Strong understanding of cloud architecture, distributed applications, integration, and API design. Experience in technology stack selection and defining solution architectures for small to mid-sized cloud-hosted platforms. Strong grasp of design and architecture patterns, with experience in developing scalable architectures. Experience in setting up and governing engineering processes, tools, and standards. Proficient in effort estimation techniques, project planning, and defining test strategies. Experience responding to RFPs/RFIs and working directly with customers. Up-to-date with latest technology trends and engineering practices. Experience with PAAS and SAAS platforms hosted on cloud environments. Hands-on experience with infrastructure sizing and design for both on-premises and cloud platforms. Ability to understand business domains and translate requirements into scalable technical solutions. Excellent interpersonal skills, with the ability to engage and present to CXOs. Strong leadership, business communication, and consulting skills. Positive, service-oriented mindset. Qualification : B.E./B.Tech, MCA, M.E./M.Tech

Job Title: Sr. Engineering Manager - Data Engineering Level: L5 Experience: 13-16 years Overview We are seeking an experienced Engineering Manager with a strong background in Data Engineering, including ETL/ELT processes and cloud-based data platforms such as Snowflake. The ideal candidate will lead and mentor a team of data engineers, drive data architecture initiatives, and work closely with cross-functional stakeholders to ensure our data infrastructure supports evolving business needs. Key Responsibilities Team Leadership: Lead, mentor, and develop a high-performing data engineering team, fostering a culture of collaboration, innovation, and continuous learning. Data Pipeline Development: Oversee the design, development, and maintenance of robust ETL/ELT pipelines to ingest, transform, and process data at scale. Cloud Data Infrastructure: Drive the architecture and implementation of cloud-based data solutions, especially leveraging Snowflake, ensuring scalability, security, and reliability. Cross-Functional Collaboration: Partner with product managers, analysts, data scientists, and other business stakeholders to gather requirements and prioritize engineering efforts that deliver the most impact. Architecture and Design: Develop and enforce data architecture standards for high-performance data warehousing, ensuring seamless data integration across diverse sources. Performance Optimization: Identify and resolve performance bottlenecks, focusing on query optimization, cost management, and resource efficiency. Data Quality & Governance: Define and implement data quality frameworks and governance practices, ensuring data consistency and reliability across all pipelines. Innovation & Strategy: Stay informed on emerging data technologies and industry best practices, continuously improving processes and aligning solutions with long-term data strategies. Required Skills 8+ years of hands-on experience in data engineering, including 5+ years in a leadership role. Strong expertise in ETL/ELT processes and hands-on experience with tools like Talend, Informatica, or similar platforms. Deep proficiency in Snowflake or comparable cloud data platforms such as Redshift or BigQuery. Advanced SQL skills, including query optimization, performance tuning, data modeling, and schema design. Hands-on experience with Python or Java for data processing and automation. Knowledge of data governance, compliance standards, and data security best practices. Excellent communication and project management skills, with the ability to prioritize and manage multiple projects in parallel. Preferred Skills Exposure to Big Data technologies such as Spark, Hadoop, Databricks, Synapse, etc. Experience with workflow orchestration tools like Apache Airflow or AWS Step Functions. Familiarity with CI/CD pipelines and DevOps practices within data engineering. Experience working with BI tools like Tableau or Power BI, and reporting integrations.

ABOUT THE ROLE: As a Product Analyst you ll work closely with Tide s product teams to use data to drive product adoption. You ll work within the product analytics team to use data to inform our collective understanding of users, their problems and thus inform product strategy. This role will suit an individual that can operate with a high degree of independence and has hands-on experience of proactively working with the product community. You are an expert and constructive critique of digital products with strong views on data-driven techniques to improve adoption and engagement of various products & features. You will be working as a part of the product squad with a functional reporting into the Lead of Growth Product Analytics. Some of the things you ll be doing: Product Discovery hypothesis driven deep dives (existing product usage data) to identify user problems, quantify size of the problem and highlight solution(s) to impact revenue. Solution confidence product experiments are a means to an end. They help us produce data to build confidence on the product & features we plan to invest in. You would be the champion of product experimentation and would observe data, propose, design and analyse product experiments. Product and feature performance review new features solve user user problems and drive product usage and thus adoption. You would work with product teams to identify features that need to be shipped, scaled or killed. User research solving user problems helps us achieve commercial goals. You would identify opportunities, perform data deep dives (exploratory and hypothesis driven) to improve our collective understanding of user problems and assist working groups to focus on and prioritise high impact user problems. Goals to KPI translations you would work with product managers to break overall revenue goals into business KPIs, identify impact hypotheses and convert into measurable product KPIs. You would work with analytics engineers to enable KPI reporting through visually speaking dashboards. Experimentation & product growth you will operate with a high degree of user behaviour awareness (backed by consistent event data observation) and assist product managers by designing experiments to drive product adoption. You would use custom data analysis and statistical methods to analyse experiment results. Self Serve Product Analytics partner with data, engineering, data product and data science teams to deliver a world-class self-serve event data analytics platform for app and web products. Our experimentation stack includes platforms like LaunchDarkly for shipping variants, Segment for events, Heap for visualisation. You would be required to partner with data-science teams to build a stats-engine for relevant KPIs for each product enabling a seamless self-serve analytics for business and product teams. WHAT WE ARE LOOKING FOR: You have 3-7 years of experience working on Product Analytics for a digital product. You have strong hold on product strategy, experimentation, roadmapping, & prioritisation You are a consumer tech geek, preferably fintech (not mandatory). You are a natural storyteller with exceptional presentation skills. You believe and invest time in project management and have exceptional people skills. You understand and believe user experience is a product. You are humble enough to know that you need to learn, and confident enough to showcase your skills, speak your mind and even challenge the status quo. You have an intrinsic need to be excellent but have learnt to be action oriented. You have failed and can talk about it at length. You have excellent SQL proficiency and are willing to crunch complex numbers. You are a self starter and can operate with a high degree of independence. You have the ability to deal with ambiguity and competing objectives in a fast paced environment. WHAT YOU LL GET IN RETURN: Competitive salary Self & Family Health Insurance Term & Life Insurance OPD Benefits Mental wellbeing through Plumm Learning & Development Budget WFH Setup allowance 15 days of Privilege leaves 12 days of Casual leaves 12 days of Sick leaves 3 paid days off for volunteering or L&D activities Stock Options TIDEAN WAYS OF WORKING: At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.

Description Do you have a passion for leveraging AI and machine learning to create transformative solutions? We are seeking a Lead Data Scientist to drive innovation, scale critical data science products, and set new standards in AI excellence. As a thought leader in the team, you will play a pivotal role in mentoring peers, advancing AI capabilities, and delivering measurable business impact. Role As a Lead Data Scientist, you will own the development of complex AI solutions, driving innovation and scaling data science products that are critical to Salesforce Customer s success. You will serve as a thought leader, pushing boundaries while collaborating across teams. Key Responsibilities Machine Learning and AI Development Design, implement, and deploy state-of-the-art models, including LLMs and Generative AI frameworks. Perform model optimization for performance, scalability, and accuracy. Implement advanced feature engineering techniques for both structured and unstructured data. Leverage leading libraries like TensorFlow, PyTorch, and Hugging Face for experimentation and production. Write clean, maintainable, and highly optimized code while following advanced Git workflows like Gitflow. Build and optimize machine learning pipelines with tools like AWS SageMaker, Airflow, or Prefect. Deployment and tracking of real time and batch models Containerize applications using Docker and deploy them to cloud platforms. Implement robust CI/CD pipelines for seamless machine learning deployments. Design and optimize SQL queries and database schemas for efficient data retrieval. Develop and manage scalable feature engineering pipelines. Architect scalable, fault-tolerant machine learning systems. Drive engineering excellence through best practices in clean, modular code and system design. Team Leadership Mentor and guide junior data scientists, fostering a culture of learning and innovation. Establish and enforce standards and best practices for data science workflows. Influence stakeholders beyond the data science team, driving organizational alignment on DS/ML standards. Operational Excellence Establish and maintain streamlined, scalable processes for data science solution development. Align with company standards to ensure consistency and scalability in AI deployments. Business Impact Collaborate with stakeholders to define problems, metrics, and data-driven solutions. Translate complex technical insights into actionable business strategies that deliver measurable value. Qualifications Experience and Education 3+ years of experience in data science, including deploying AI/ML products at scale. Bachelor s or Master s degree in Mathematics, Computer Science, or a related field (or equivalent experience). Technical Expertise Mastery of Python for data manipulation, machine learning, and software development. Proficiency in ML frameworks like TensorFlow, PyTorch, and scikit-learn. Knowledge of software engineering principles and best practices, including version control, code optimization, modular design, and testing methodologies. Experience with tools like Docker, AWS SageMaker, and Airflow for pipeline optimization. Proficiency in SQL, Spark, and ETL processes. Familiarity with Generative AI, LLMs, NLP frameworks, and vector databases. Hands-on experience with cloud platforms like AWS. Soft Skills Craft detailed design documents and technical white papers. Translate technical concepts into business-friendly language. Lead cross-functional discussions and align diverse viewpoints. Deliver polished presentations to senior stakeholders. Exhibit exceptional problem-solving and leadership abilities. Why Join Us? Work on cutting-edge AI and data science projects with a measurable business impact. Collaborate with a talented and passionate team of professionals. Grow professionally with access to modern tools, technologies, and resources. Be part of a culture that values innovation, collaboration, and growth. Qualification : Bachelors or Masters degree in Mathematics, Computer Science, or a related field (or equivalent experience).