16420 Spark Jobs - Page 42

Job description: Job Summary Are you a person who gets inspired by exploring data? Are you someone who can inspire others to consider courses of action they hadn’t previously thought of? Are you a person who thrives in collaboration with people? Well, we want you! As our Business Intelligence Expert, you will join our newly created Sustainability Value Stream. The sustainability value stream team supports Tetra Pak global sustainability organisation with capability building related to data, process, systems and people. We need to serve the Sustainability Unit with accessible, auditable, useful, and actionable data for reporting purposes, legal requirements and regulations, performance management and not the least – to drive sustainability improvements. This position will be permanently based at Chakan, Pune office and will report into Director Value Stream Sustainability. What you will do Daily problem-solving to enable efficient and effective support for both current and future business challenges. Daily interaction with colleagues in a truly multi-cultural and multidimension organization. Lots of opportunities and expectations to take initiative and suggest new ideas of how to deliver value. Be part of a small, non-hierarchical team with an opportunity to impact our future journey. Specialize in exploring and collecting data, preparing it for analysis and developing visualizations that transform the data into understandable, actionable, and inspirational insights, and enable our stakeholders to make fact-based decisions. Use data to tell the story of what’s happening in the business today and in the future. Collaborate with stakeholders to identify critical data necessary for informed decisions. Drive standardization and automation of data collection, consolidation, and analysis processes. Actively participate in IT development projects related to analytics. Contribute to designing and implementing data-driven solutions. Provide timely support to end-users within the Sustainability community. Profile description: We believe you have 10 plus years Experience from working in Power BI and SAP BusinessObjects or other similar reporting tools. A Full Time University degree in Data/Information Science, Economics, Business administration or Engineering. Experience from working with SAP HANA Studio, KNIME or similar data preparation tools. Proficient in utilizing Power BI, SAP BusinessObjects, or comparable reporting platforms to design and deliver insightful reports. General understanding of Databricks, Notebooks with languages Spark, SQL and Python Hands-on experience with data preparation tools such as SAP HANA Studio, KNIME, or other similar platforms for efficient data modeling and transformation. As a person you enjoy speed in all the above and rather try and fail, than wait for the perfect moment! You proactively seek out new ideas and opportunities to create value, always prioritizing the best interests of customers, with intuition for both the broader context and the critical details that matter. You have an excellent analytical mind, strong problem-solving skills, and a desire to explore new techniques and tools to do things in a smarter and better way. We Offer You • Variety of exciting challenges with ample opportunities for development and training in a truly global landscape • Culture that pioneers spirit of innovation where our engineering genius drives visible result • Equal opportunity employment experience that values difference and diversity • Market competitive compensation and benefits with flexible working arrangements Apply Now If you are excited for a new adventure in Tetra Pak, please submit your resume in English through our career website. This job posting expires on 24th July 2025 Ankur Shrivastava

Who we are: Irdeto is the world leader in digital platform cybersecurity, empowering businesses to innovate for a secure, connected future. Building on over 50 years of expertise in security, Irdeto’s services and solutions protect revenue, enable growth and fight cybercrime in video entertainment, video games, and connected industries including transport, health and infrastructure. Irdeto is the security partner dedicated to empowering a secure world where people can connect with confidence. With teams and offices around the world, Irdeto’s greatest asset is its people - our diversity is celebrated through an inclusive workplace, where everyone has an equal opportunity to drive innovation and contribute to Irdeto's success. The Role: As a Data Engineer Intern, you will work closely with the data engineering team to support the development, maintenance, and optimization of data infrastructure and pipelines. Your primary focus will be on data integration, data transformation, and data quality, enabling the efficient and reliable flow of data across various systems. This internship offers a valuable opportunity to gain hands-on experience in the field of data engineering while contributing to real-world projects and initiatives. Key Responsibilities: Data Integration: Collaborate with data engineering and data science teams to understand data requirements and source data from various internal and external systems. Implement data extraction, transformation, and loading (ETL) processes to ensure a smooth flow of data into the data warehouse. Data Pipeline Development: Assist in designing and building scalable, robust, and maintainable data pipelines that collect, process, and store data from different sources. Work with technologies like Apache Spark, Apache Kafka, or other relevant tools. Data Quality Assurance: Contribute to the development and implementation of data quality checks and validation procedures to ensure data accuracy, consistency, and completeness. Database Management: Help manage and maintain databases, ensuring data integrity, security, and high availability. Monitor database performance and troubleshoot issues as they arise. Documentation: Document data engineering processes, data pipelines, and system configurations to facilitate knowledge sharing and ensure that the data infrastructure remains well-documented. Automation: Identify opportunities to automate repetitive tasks and processes within data engineering workflows, enhancing efficiency and reducing manual efforts. Data Governance: Adhere to data governance and security policies, maintaining data privacy and confidentiality throughout all data-related activities. Collaborative Projects: Collaborate with cross-functional teams on data-related projects, supporting their data needs and contributing to the success of company initiatives. Continuous Learning: Stay updated with the latest advancements in data engineering technologies and practices, and proactively apply this knowledge to improve data engineering processes. Requirements: Enrolled in a bachelor’s or master’s degree program in Computer Science, Data Science, Information Technology, or a related field. Familiarity with programming languages like Python, Java, or Scala. Basic understanding of databases and SQL. Knowledge of data integration and ETL concepts. Experience with big data technologies is a plus. Analytical mindset and attention to detail. Strong problem-solving skills and the ability to work independently and in a team. Good communication skills and the ability to collaborate effectively with various stakeholders. What you can expect from us: We invest in our talented employees and promote collaboration, creativity, and innovation while supporting health and well-being across our global workforce. In addition to competitive remuneration, we offer: A multicultural and international environment where diversity is celebrated Professional education opportunities and training programs Innovation sabbaticals Volunteer Day State-of-the-art office spaces Additional perks tailored to local offices (e.g., on-site gyms, fresh fruit, parking, yoga rooms, etc.) Equal Opportunity at Irdeto Irdeto is proud to be an equal opportunity employer. All decisions are based on qualifications and business needs, and we do not tolerate discrimination or harassment. We welcome applications from individuals with diverse abilities and provide accommodation during the hiring process upon request. If you’re excited about this role but don’t meet every qualification, we encourage you to apply. We believe diverse perspectives and experiences make our teams stronger. Welcome to Irdeto!

Role: MLOps Manager As the MLOps Lead, you will be responsible for leading the deployment and operationalization of AI/ML solutions. You will collaborate with data scientists, engineers, and IT teams to ensure that machine learning models are efficiently deployed, monitored, and maintained. Your role will be crucial in bridging the gap between data science and production, ensuring that our AI initiatives are scalable, reliable, and deliver business value. Responsibilities: • Lead the design, implementation, and management of MLOps pipelines to deploy machine learning models into production. • Work closely with data scientists to understand model requirements and ensure smooth integration and deployment. • Develop and maintain infrastructure for model training, validation, deployment, and monitoring. • Implement best practices for CI/CD pipelines in the context of AI/ML model development and deployment. • Ensure scalability, reliability, and performance of deployed models through monitoring and continuous optimization. • Leverage containerization and orchestration tools (e.g., Docker, Kubernetes) to manage model deployment environments. • Collaborate with IT and DevOps teams to ensure seamless integration of AI/ML solutions with existing systems. • Implement and enforce security best practices for AI/ML models and data pipelines. • Stay updated with the latest advancements in MLOps tools, frameworks, and methodologies. • Provide technical leadership and mentorship to junior team members. Requirements: • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. • Proven experience (8+ years) in MLOps , DevOps, or a related field, with a focus on deploying machine learning models. • Strong understanding of machine learning, deep learning, NLP, and generative AI techniques. • Proficiency with MLOps tools and frameworks such as MLflow, Kubeflow, TensorFlow Extended (TFX), or similar. • Experience with CI/CD tools such as Jenkins, GitLab CI, or CircleCI. • Proficiency in programming languages such as Python and familiarity with ML/DL frameworks like TensorFlow, PyTorch, and scikit-learn. • Experience with cloud platforms (AWS, GCP, Azure) and their AI/ML services. • Knowledge of containerization and orchestration tools (Docker, Kubernetes). • Strong understanding of version control systems (e.g., Git) and collaborative development workflows. • Excellent problem-solving skills and the ability to design robust, scalable MLOps solutions. • Strong communication skills, with the ability to collaborate effectively with cross-functional teams. • Experience in leading and mentoring technical teams. Preferred Qualifications: • Experience with big data technologies and tools such as Hadoop, Spark, and Kafka. • Familiarity with data visualization tools such as Tableau, Power BI, or similar.

About Gap Inc. Our past is full of iconic moments - but our future is going to spark many more. Our brands - Gap, Banana Republic, Old Navy and Athleta - have dressed people from all walks of life and all kinds of families, all over the world, for every occasion for more than 50 years. But we're more than the clothes that we make. We know that business can and should be a force for good, and it's why we work hard to make product that makes people feel good, inside and out. It's why we're committed to giving back to the communities where we live and work. If you're one of the super-talented who thrive on change, aren't afraid to take risks and love to make a difference, come grow with us. About The Role In this role, you will support the overall Finance function for a large, multi-brand retailer in a fast-paced, complex environment. Gap Inc.'s headquarters Finance team provides financial support to various business units and the Executive Leadership teams. You will be responsible for providing guidance, data, and analysis to other areas of Finance or the brands. The teams are responsible for leading several key financial performance management activities for Gap Inc., including the annual budget / operating plan, long-range plan, and monthly forecast. Using these activities as a foundation, they provide the executive leaders and other relevant stakeholders with forward-looking financial projections, performance perspective, and foundations for optimal decision-making. What You'll Do Prepare monthly financial reports to Gap Inc management and ensure reports are accurate and distributed in a timely manner Deliver financials for the company, whether related to financial close, internal or external reporting, or analysis for key stakeholders in Finance Provide financial support and analysis to key internal groups such as Corporate Real Estate, Store Development, Real Estate Finance, Financial Planning & Analysis and Internal Audit Identify and research variances to forecast, budget and prior year expenses, proactively identifying opportunities for improvement Develop and maintain effective relationships with business partners and cross functional teams at all levels of the organization Participate in projects and assignments of diverse scope Who You Are Understanding of financial statements including balance sheets and general ledgers, Sarbanes Oxley compliance, and the financial close process High level of individual accountability and motivation Experience and proficiency with Microsoft Office Suite, especially Microsoft Excel Committed to continuous growth and learning Benefits At Gap Inc. One of the most competitive paid time off plans in the industry Comprehensive health coverage for employees, same-sex partners and their families Health and wellness program: free annual health check-ups, fitness center and Employee Assistance Program Comprehensive benefits to support the journey of parenthood Retirement planning assistance See more of the benefits we offer. Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity.

About Gap Inc. Our past is full of iconic moments — but our future is going to spark many more. Our brands — Gap, Banana Republic, Old Navy and Athleta — have dressed people from all walks of life and all kinds of families, all over the world, for every occasion for more than 50 years. But we’re more than the clothes that we make. We know that business can and should be a force for good, and it’s why we work hard to make product that makes people feel good, inside and out. It’s why we’re committed to giving back to the communities where we live and work. If you're one of the super-talented who thrive on change, aren't afraid to take risks and love to make a difference, come grow with us. About The Role The Director of Product Development is a leadership role within our Product team, focused on driving local sourcing initiatives for the India market. Created during a period of significant growth, this newly established position plays a pivotal role in shaping the future of our localized product development and sourcing strategy in the region. You will have deep expertise in sourcing and developing a product aesthetic for global iconic brands, with a strong track record of building and executing robust sourcing strategies, coupled with a strong passion for fabric and product creation within global quality standards and the ability to influence strategic direction with external partners. You must be a leader who thrives in a matrix organization and can successfully collaborate and influence cross-functional teams across Gap Inc. and manage external partners, vendors and agencies. What You'll Do Develop exclusive products for the local franchise market, and work in partnership with the Franchise Product teams in creating assortments that meet market-specific customer needs, grow market share, and are aligned to the overall brand strategy Build and strengthen strategic relationships with franchise partner and successfully collaborate across varied functions and levels with stakeholders to drive results and influence strategic sourcing direction Own end-to-end product development process for locally sourced products, from fabric development through to order placement, ensuring alignment with brand aesthetic, quality standards, and service level agreements. Develop and implement scalable processes that support product excellence, technical design, product integrity, and safety compliance. Influence vendor strategy and sourcing initiatives to drive responsive capabilities to support partner’s business needs for closer in-market decisions and replenishment Develop fabric strategy initiatives with partner to support responsive supply chain, differentiated market needs while aligning with global aesthetic and standards Partner closely with franchise business partner to monitor and influence local sourcing initiatives, ensuring timely product approvals and vendor onboarding. Serve as the primary liaison between partner, Gap Inc.’s strategic vendors and GIS leadership, facilitating domestic production to support key product initiatives tailored for the local market Support the design team in aligning locally sourced products with brand vision and quality expectations. Work with Sourcing central teams to ensure quality assurance, technical design, and compliance standards are met across all locally sourced products. Serve as a key member of the cross-functional leadership team, contributing to strategic planning and execution of growth initiatives. Who You Are Previous experience in retail/apparel license and wholesale businesses 12+ years of experience, including significant apparel sourcing, fabric development, product development, and/or production experience Thrives in a highly collaborative environment, working with diverse cultures, and influencing people Exceptional analytical and problem-solving skills Strong project management and communication skills as well as ability to work successfully with peers, teams, and executives in a matrixed organization Strong change management, strategy, and operational experience Strong influencing skills to both internal and external stakeholders Strong oral, written and formal presentation skills including the ability to communicate complex ideas in a simple way Strong interpersonal skills, works well as a part of a cross-functional team and can influence and interact at all levels of the organization Ability to work in and bring structure to ambiguous environments Benefits at Gap Inc. One of the most competitive paid time off plans in the industry Comprehensive health coverage for employees, same-sex partners and their families Health and wellness program: free annual health check-ups, fitness center and Employee Assistance Program Comprehensive benefits to support the journey of parenthood Retirement planning assistance See more of the benefits we offer. Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity.

Job Title: Data Science Trainer Company: HERE AND NOW Artificial Intelligence Research Institute Location: HERE AND NOW AI, Salem About Us At the HERE AND NOW Artificial Intelligence Research Institute, we are at the forefront of AI innovation. Our mission is to empower the next generation of AI professionals through comprehensive education, innovative AI applications, and groundbreaking research. We are looking for a passionate and experienced Data Science Trainer to join our team and help us achieve our goals. Job Description Title: Data Science Trainer Location: Salem, Tamil Nadu Job Type: Part-Time / Contract Date of Training: 28.07.2025 Experience: Minimum 2 years in Data Science, Machine Learning, or AI domain Industry: IT Training / EdTech / Technical Education About the Role We are hiring a dedicated and skilled Data Science Trainer in Salem to deliver hands-on training in Python for Data Science, Machine Learning, Big Data Analytics, and Deep Learning. If you're passionate about teaching and mentoring aspiring data scientists, this is your chance to contribute to the AI revolution. Responsibilities Deliver interactive classroom or virtual sessions covering: Data Science: Python, Pandas, NumPy, Matplotlib, Statistics, Machine Learning (Supervised & Unsupervised), Model Evaluation, Real-world Projects. Big Data Analytics: Hadoop Ecosystem (HDFS, MapReduce, Hive, Pig, Sqoop, Flume), Apache Spark, Spark SQL, Spark MLlib, NoSQL basics (MongoDB/Cassandra). Deep Learning: Neural Networks, CNN, RNN, LSTM, GANs, using TensorFlow, Keras, and Google Colab. Design and customize curriculum for beginner to intermediate learners. Facilitate real-time mini-projects, assignments, and model-building activities. Evaluate student progress and provide mentorship. Collaborate with academic and placement teams to ensure outcomes align with industry needs. Required Skills Strong understanding of Python and ML libraries (Pandas, Scikit-learn, Matplotlib, Seaborn). Proficiency in Big Data tools: Hadoop, Spark, Hive. Familiarity with Deep Learning frameworks: TensorFlow, Keras. Understanding of statistical concepts and machine learning algorithms. Excellent communication, presentation, and mentoring skills. Willingness to conduct sessions at our Salem center. Preferred Qualifications B.E./B.Tech/MCA/M.Sc in Computer Science, Data Science, or related fields. Training experience in Data Science, Big Data, or AI. Certification in Data Science/Machine Learning/Big Data preferred. Exposure to cloud tools (AWS/GCP) and BI tools (Power BI/Tableau) is a plus. Benefits Competitive salary + performance-based incentives Opportunity to be part of a growing AI research and training community Certificate of contribution for each training batch Job Types: Part-time, Fresher, Contractual / Temporary, Freelance Benefits: Flexible schedule Food provided Paid sick time Schedule: Day shift Supplemental Pay: Commission pay Performance bonus Shift allowance Experience: total work: 2 years (Required) Work Location: In person

About Us: Planet Spark is reshaping the EdTech landscape by equipping kids and young adults with future-ready skills like public speaking, and more. We're on a mission to spark curiosity, creativity, and confidence in learners worldwide. If you're passionate about meaningful impact, growth, and innovation—you're in the right place. Location: Gurgaon (On-site) Experience Level: Entry to Early Career (Freshers welcome!) Shift Options: Domestic | Middle East | International Working Days: 5 days/week (Wednesday & Thursday off) | Weekend availability required Target Joiners: Any (Bachelor’s or Master’s) 🔥 What You'll Be Owning (Your Impact): Lead Activation: Engage daily with high-intent leads through dynamic channels—calls, video consults, and more. Sales Funnel Pro: Own the full sales journey—from first hello to successful enrollment. Consultative Selling: Host personalized video consultations with parents/adult learners, pitch trial sessions, and resolve concerns with clarity and empathy. Target Slayer: Consistently crush weekly revenue goals and contribute directly to Planet Spark’s growth engine. Client Success: Ensure a smooth onboarding experience and transition for every new learner. Upskill Mindset: Participate in hands-on training, mentorship, and feedback loops to constantly refine your game. 💡 Why Join Sales at Planet Spark? Only Warm Leads: Skip the cold calls—our leads already know us and have completed a demo session. High-Performance Culture: Be part of a fast-paced, energetic team that celebrates success and rewards hustle. Career Fast-Track: Unlock rapid promotions, performance bonuses, and leadership paths. Top-Notch Training: Experience immersive onboarding, live role-plays, and access to ongoing L&D programs. Rewards & Recognition: Weekly shoutouts, cash bonuses, and exclusive events to celebrate your wins. Make Real Impact: Help shape the minds of tomorrow while building a powerhouse career today. 🎯 What You Bring to the Table: Communication Powerhouse: You can build trust and articulate ideas clearly in both spoken and written formats. Sales-Driven: You know how to influence decisions, navigate objections, and close deals with confidence. Empathy First: You genuinely care about clients’ goals and tailor your approach to meet them. Goal-Oriented: You’re self-driven, proactive, and hungry for results. Tech Fluent: Comfortable using CRMs, video platforms, and productivity tools. ✨ What’s in It for You? 💼 High-growth sales career with serious earning potential 🌱 Continuous upskilling in EdTech, sales, and communication 🧘 Supportive culture that values growth and well-being 🎯 Opportunity to work at the cutting edge of education innovation

Varahe Analytics is on the hunt for a Video Editor with flair, someone who doesn’t just stitch clips together but crafts compelling narratives that inform, inspire, and spark conversation across digital platforms. What You’ll Be Doing - Craft punchy, fast-paced video content that simplifies complex ideas and makes them scroll-stopping. - Edit political explainers, cultural deep dives, and trending narratives with engaging visuals, pacing, and transitions. - Add motion graphics, sound design, memes, and moments of magic that make viewers say: “Wait, replay that!” - Collaborate with our researchers, writers, and design team to turn insights into impact. Your Editing Arsenal Should Include: - Adobe Premiere Pro, After Effects, Photoshop, Illustrator, Audio, Geolayer Plugin and emerging AI tools. - Any editing software you swear by is welcome, it’s the storytelling that matters most. - Understanding of visual storytelling, retention dynamics, and emotional pacing. - A good eye for color grading, typography, and how visuals land on social feeds.Bonus: Experience with high-speed editing workflows or content that’s gone viral. Preferred Background - Degree/Diploma in Film, Media, Communication, or Design (self-taught legends also welcome). - 4-7 years of editing experience, preferably in content creation or digital storytelling. - A showreel or portfolio is required. let your edits do the talking. You’ll Thrive If You: - Know how to keep viewers hooked within the first 5 seconds. - Know the difference between a cut that tells a story vs. a cut that kills it. - Can handle feedback, deadlines, and rapid turnarounds without compromising quality. Job Location: Sector 8, Noida, Uttar Pradesh. Ready to Join? Send your: CV, Showreel, A few lines on the kind of stories you love to tell. parth.patel@varaheanalytics.com Job Type: Full-time Pay: ₹40,000.00 - ₹75,000.00 per month Work Location: In person

Company Description Strategic Engagement and Event Solutions (SEES) is a provider and enabler of technology, consulting, and management solutions in the meetings domain. SEES leverages technology and design to make meetings effective, engaging, and easy. The company's founding pillars are transparency, value, and sustainable inclusive partnerships with clients. By mapping the latest trends, SEES provides innovative solutions that drive lasting business results. Role Description This role is all about people power. You'll help Mommyfest's voice reach new moms, influencers, and wellness champions across India. You'll be the one building bridges between our festival and the vibrant communities we aim to celebrate. Selected intern's day-to-day responsibilities include: 1. Work with SEES to create a thriving Mommyfest community through WhatsApp groups, Instagram polls, and contests 2. Identify and connect with mommy bloggers, micro-influencers, and parenting groups for collaborations 3. Craft fun and friendly outreach messages that spark conversations and partnerships 4. Coordinate influencer content (stories, reels, and posts) to align with our event buzz 5. Be the digital glue keeping our moms and creators engaged, supported, and hyped for Mommyfest Why this rocks: You'll build a strong network in the creator economy and learn how to manage influencer relationships like a pro. Qualifications Strong Interpersonal Skills and Community Engagement abilities Excellent Communication and Customer Service skills Experience in Community Management Proactive and organized with the ability to handle multiple tasks Relevant experience in a similar or related role is a plus Bachelor's degree in Communications, Public Relations, or a related field

About Us: Planet Spark is reshaping the EdTech landscape by equipping kids and young adults with future-ready skills like public speaking, and more. We're on a mission to spark curiosity, creativity, and confidence in learners worldwide. If you're passionate about meaningful impact, growth, and innovation—you're in the right place. Location: Gurgaon (On-site) Experience Level: Entry to Early Career (Freshers welcome!) Shift Options: Domestic | Middle East | International Working Days: 5 days/week (Wednesday & Thursday off) | Weekend availability required Target Joiners: Any (Bachelor’s or Master’s) 🔥 What You'll Be Owning (Your Impact): Lead Activation: Engage daily with high-intent leads through dynamic channels—calls, video consults, and more. Sales Funnel Pro: Own the full sales journey—from first hello to successful enrollment. Consultative Selling: Host personalized video consultations with parents/adult learners, pitch trial sessions, and resolve concerns with clarity and empathy. Target Slayer: Consistently crush weekly revenue goals and contribute directly to Planet Spark’s growth engine. Client Success: Ensure a smooth onboarding experience and transition for every new learner. Upskill Mindset: Participate in hands-on training, mentorship, and feedback loops to constantly refine your game. 💡 Why Join Sales at Planet Spark? Only Warm Leads: Skip the cold calls—our leads already know us and have completed a demo session. High-Performance Culture: Be part of a fast-paced, energetic team that celebrates success and rewards hustle. Career Fast-Track: Unlock rapid promotions, performance bonuses, and leadership paths. Top-Notch Training: Experience immersive onboarding, live role-plays, and access to ongoing L&D programs. Rewards & Recognition: Weekly shoutouts, cash bonuses, and exclusive events to celebrate your wins. Make Real Impact: Help shape the minds of tomorrow while building a powerhouse career today. 🎯 What You Bring to the Table: Communication Powerhouse: You can build trust and articulate ideas clearly in both spoken and written formats. Sales-Driven: You know how to influence decisions, navigate objections, and close deals with confidence. Empathy First: You genuinely care about clients’ goals and tailor your approach to meet them. Goal-Oriented: You’re self-driven, proactive, and hungry for results. Tech Fluent: Comfortable using CRMs, video platforms, and productivity tools. ✨ What’s in It for You? 💼 High-growth sales career with serious earning potential 🌱 Continuous upskilling in EdTech, sales, and communication 🧘 Supportive culture that values growth and well-being 🎯 Opportunity to work at the cutting edge of education innovation

About The Role Grade Level (for internal use): 10 The Team : The Data Engineering team is responsible for architecting, building, and maintaining our evolving data infrastructure, as well as curating and governing the data assets created on our platform. We work closely with various stakeholders to acquire, process, and refine vast datasets, focusing on creating scalable and optimized data pipelines. Our team possesses broad expertise in critical data domains, technology stacks, and architectural patterns. We foster knowledge sharing and collaboration, resulting in a unified strategy and seamless data management. The Impact: This role is the foundation of the products delivered. The data onboarded is the base for the company as it feeds into the products, platforms, and essential for supporting our advanced analytics and machine learning initiatives. What’s in it for you: Be the part of a successful team which works on delivering top priority projects which will directly contribute to Company’s strategy. Drive the testing initiatives including supporting Automation strategy, performance, and security testing. This is the place to enhance your Testing skills while adding value to the business. As an experienced member of the team, you will have the opportunity to own and drive a project end to end and collaborate with developers, business analysts and product managers who are experts in their domain which can help you to build multiple skillsets. Responsibilities Design, develop, and maintain scalable and efficient data pipelines to process large volumes of data. To implement ETL processes to acquire, validate, and process incoming data from diverse sources. Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand data requirements and translate them into technical solutions. Implement data ingestion, transformation, and integration processes to ensure data quality, accuracy, and consistency. Optimize Spark jobs and data processing workflows for performance, scalability, and reliability. Troubleshoot and resolve issues related to data pipelines, data processing, and performance bottlenecks. Conduct code reviews and provide constructive feedback to junior team members to ensure code quality and best practices adherence. Stay updated with the latest advancements in Spark and related technologies and evaluate their potential for enhancing existing data engineering processes. Develop and maintain documentation, including technical specifications, data models, and system architecture diagrams. Stay abreast of emerging trends and technologies in the data engineering and big data space and propose innovative solutions to enhance data processing capabilities. What We’re Looking For 5+ Years of experience in Data Engineering or related field Strong experience in Python programming with expertise in building data-intensive applications. Proven hands-on experience with Apache Spark, including Spark Core, Spark SQL, Spark Streaming, and Spark MLlib. Solid understanding of distributed computing concepts, parallel processing, and cluster computing frameworks. Proficiency in data modeling, data warehousing, and ETL techniques. Experience with workflow management platforms, preferably Airflow. Familiarity with big data technologies such as Hadoop, Hive, or HBase. Strong Knowledge of SQL and experience with relational databases. Hand on experience with AWS cloud data platform Strong problem-solving and troubleshooting skills, with the ability to analyze complex data engineering issues and provide effective solutions. Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. Nice to have experience on DataBricks Preferred Qualifications: Bachelor’s degree in Information Technology, Computer Information Systems, Computer Engineering, Computer Science, or other technical discipline What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf IFTECH202.1 - Middle Professional Tier I (EEO Job Group) Job ID: 315442 Posted On: 2025-07-23 Location: Ahmedabad, Gujarat, India

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. As a Medicare Risk Adjustment Data Analyst, you’ll play a crucial role in supporting the development and enhancement of new analytical applications related to Medicare risk adjustment as well as supporting existing applications such as Coding Transformation Modernization, Attribution Analytics, Financial Risk Adjustment and Management Engine. Primary Responsibilities This position is for OI Clinical Solutions - Decision intelligence team and upon selection, you will be part of dynamic team working on developing and delivering Best in-class Analytics for end users. Your work will focus on understanding CMS Medicare Advantage business and developing best in-class Analytics for OI Clinical Solutions - Decision Intelligence team according to Business/Technical requirements. Here are the key responsibilities, qualities and experience we will look for in an ideal candidate: Gather and analyze business and/ or functional requirements from 1 or more client business teams Validate requirements with stakeholders and day to day project team, provide suggestions and recommendations in line with industry best practices Developing and delivering Best in-class Analytics for end users using Big Data and Cloud platforms Document, discuss and resolve business, data, data processing and BI/ reporting issues within the team, across functional teams, and with business stakeholders Present written and verbal data analysis findings, to both the project team and business stakeholders as required to support the requirements gathering phase and issue resolution activities Manage changing business priorities and scope and work on multiple projects concurrently Self - motivated and proactive with the ability to work in a fast - paced environment Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications 3+ years of solid work experience with python, spark and HIVE and solid experience in developing Analytics at scale using Python, Spark and HIVE 3+ years of solid work experience in developing E2E Analytics pipeline on Hadoop/Bigdata platform 3+ years of solid work experience in SQL or associated languages 3+ years of solid work experience - Ability to convert Business requirements into technical requirements and ability to develop Best in class code as per Technical/Business requirements Proven interpersonal, collaboration, diplomatic, influencing, planning and organizational skills Consistently demonstrate clear and concise written and verbal communication Proven ability to effectively use complex analytical, interpretive and problem-solving techniques Proven relationship management skills to partner and influence across organizational lines Demonstrated ability to be work under pressure and to meet tight deadlines with proactive, decisiveness and flexibility Preferred Qualifications AWS/GCP or any other cloud-based platform development experience Domain Experience: Understanding of Medicare risk adjustment programs Understanding of CMS datasets such as MMR/MOR/EDPS etc. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

The Impact: Design, build, and measure complex ELT jobs to process disparate data sources and form a high integrity, high quality, clean data asset. Executes and provides feedback for data modeling policies, procedure, processes, and standards. Assists with capturing and documenting system flow and other pertinent technical information about data, database design, and systems. Develop comprehensive data quality standards and implement effective tools to ensure data accuracy and reliability. Collaborate with various Investment Management departments to gain a better understanding of new data patterns. Collaborate with Data Analysts, Data Architects, and BI developers to ensure design and development of scalable data solutions aligning with business goals. Translate high-level business requirements into detailed technical specs. The Minimum Qualifications Education: Bachelor’s or Master’s degree in Computer Science, Information Systems or related field. Experience: 7-9 years of experience with data analytics, data modeling, and database design. 3+ years of coding and scripting (Python, Java, Scala) and design experience. 3+ years of experience with Spark framework. 5+ Experience with ELT methodologies and tools. 5+ years mastery in designing, developing, tuning and troubleshooting SQL. Knowledge of Informatica Power center and Informatica IDMC. Knowledge of distributed, column- orientated technology to create high-performant database technologies like - Vertica, Snowflake. Strong data analysis skills for extracting insights from financial data Proficiency in reporting tools (e.g., Power BI, Tableau).

About Client: It is a global IT services company specializing in product engineering and digital transformation. They are known for their unique delivery platform, Excel Shore, which leverages data science to enhance client value. With over 28 years of experience, partners with technology-led businesses worldwide, including independent software vendors (ISVs). offers end-to-end software product development, modernization, and platform integration services. has multiple locations and serves a diverse range of industries, including software, media, travel, retail, and healthcare. have a large team of over 7,500 employees dedicated to delivering innovative solutions. emphasizes a diverse and inclusive workplace, with a significant percentage of women in their workforce. Job Title: Dotnet Fullstack Developer · Location: Pan India · Experience: 7 + Yrs · Mode of Work : Remote/Hybrid · Job Type : Contract to hire. · Notice Period: Immediate joiners. · Project Tenure: Long-term project Job Description: Python, ML, NLP (LDA, embeddings, RAG), AI techniques, LLM-based matching (e.g., GPT/embeddings), timeseries forecasting Django is essential Experience with Databricks, Azure ML Stack, OpenAI API, Spark, and fuzzy matching would be a plus. Builds and deploys ML pipelines (incl. MLOps, API endpoints, CI/CD) Works with Langchain, Azure Synapse, Kubernetes, and modern ML frameworks

About Us: Planet Spark is reshaping the EdTech landscape by equipping kids and young adults with future-ready skills like public speaking, and more. We're on a mission to spark curiosity, creativity, and confidence in learners worldwide. If you're passionate about meaningful impact, growth, and innovation—you're in the right place. Location: Gurgaon (On-site) Experience Level: Entry to Early Career (Freshers welcome!) Shift Options: Domestic | Middle East | International Working Days: 5 days/week (Wednesday & Thursday off) | Weekend availability required Target Joiners: Any (Bachelor’s or Master’s) 🔥 What You'll Be Owning (Your Impact): Lead Activation: Engage daily with high-intent leads through dynamic channels—calls, video consults, and more. Sales Funnel Pro: Own the full sales journey—from first hello to successful enrollment. Consultative Selling: Host personalized video consultations with parents/adult learners, pitch trial sessions, and resolve concerns with clarity and empathy. Target Slayer: Consistently crush weekly revenue goals and contribute directly to Planet Spark’s growth engine. Client Success: Ensure a smooth onboarding experience and transition for every new learner. Upskill Mindset: Participate in hands-on training, mentorship, and feedback loops to constantly refine your game. 💡 Why Join Sales at Planet Spark? Only Warm Leads: Skip the cold calls—our leads already know us and have completed a demo session. High-Performance Culture: Be part of a fast-paced, energetic team that celebrates success and rewards hustle. Career Fast-Track: Unlock rapid promotions, performance bonuses, and leadership paths. Top-Notch Training: Experience immersive onboarding, live role-plays, and access to ongoing L&D programs. Rewards & Recognition: Weekly shoutouts, cash bonuses, and exclusive events to celebrate your wins. Make Real Impact: Help shape the minds of tomorrow while building a powerhouse career today. 🎯 What You Bring to the Table: Communication Powerhouse: You can build trust and articulate ideas clearly in both spoken and written formats. Sales-Driven: You know how to influence decisions, navigate objections, and close deals with confidence. Empathy First: You genuinely care about clients’ goals and tailor your approach to meet them. Goal-Oriented: You’re self-driven, proactive, and hungry for results. Tech Fluent: Comfortable using CRMs, video platforms, and productivity tools. ✨ What’s in It for You? 💼 High-growth sales career with serious earning potential 🌱 Continuous upskilling in EdTech, sales, and communication 🧘 Supportive culture that values growth and well-being 🎯 Opportunity to work at the cutting edge of education innovation

About Us: Planet Spark is reshaping the EdTech landscape by equipping kids and young adults with future-ready skills like public speaking, and more. We're on a mission to spark curiosity, creativity, and confidence in learners worldwide. If you're passionate about meaningful impact, growth, and innovation—you're in the right place. Location: Gurgaon (On-site) Experience Level: Entry to Early Career (Freshers welcome!) Shift Options: Domestic | Middle East | International Working Days: 5 days/week (Wednesday & Thursday off) | Weekend availability required Target Joiners: Any (Bachelor’s or Master’s) 🔥 What You'll Be Owning (Your Impact): Lead Activation: Engage daily with high-intent leads through dynamic channels—calls, video consults, and more. Sales Funnel Pro: Own the full sales journey—from first hello to successful enrollment. Consultative Selling: Host personalized video consultations with parents/adult learners, pitch trial sessions, and resolve concerns with clarity and empathy. Target Slayer: Consistently crush weekly revenue goals and contribute directly to Planet Spark’s growth engine. Client Success: Ensure a smooth onboarding experience and transition for every new learner. Upskill Mindset: Participate in hands-on training, mentorship, and feedback loops to constantly refine your game. 💡 Why Join Sales at Planet Spark? Only Warm Leads: Skip the cold calls—our leads already know us and have completed a demo session. High-Performance Culture: Be part of a fast-paced, energetic team that celebrates success and rewards hustle. Career Fast-Track: Unlock rapid promotions, performance bonuses, and leadership paths. Top-Notch Training: Experience immersive onboarding, live role-plays, and access to ongoing L&D programs. Rewards & Recognition: Weekly shoutouts, cash bonuses, and exclusive events to celebrate your wins. Make Real Impact: Help shape the minds of tomorrow while building a powerhouse career today. 🎯 What You Bring to the Table: Communication Powerhouse: You can build trust and articulate ideas clearly in both spoken and written formats. Sales-Driven: You know how to influence decisions, navigate objections, and close deals with confidence. Empathy First: You genuinely care about clients’ goals and tailor your approach to meet them. Goal-Oriented: You’re self-driven, proactive, and hungry for results. Tech Fluent: Comfortable using CRMs, video platforms, and productivity tools. ✨ What’s in It for You? 💼 High-growth sales career with serious earning potential 🌱 Continuous upskilling in EdTech, sales, and communication 🧘 Supportive culture that values growth and well-being 🎯 Opportunity to work at the cutting edge of education innovation

About Us: Planet Spark is reshaping the EdTech landscape by equipping kids and young adults with future-ready skills like public speaking, and more. We're on a mission to spark curiosity, creativity, and confidence in learners worldwide. If you're passionate about meaningful impact, growth, and innovation—you're in the right place. Location: Gurgaon (On-site) Experience Level: Entry to Early Career (Freshers welcome!) Shift Options: Domestic | Middle East | International Working Days: 5 days/week (Wednesday & Thursday off) | Weekend availability required Target Joiners: Any (Bachelor’s or Master’s) 🔥 What You'll Be Owning (Your Impact): Lead Activation: Engage daily with high-intent leads through dynamic channels—calls, video consults, and more. Sales Funnel Pro: Own the full sales journey—from first hello to successful enrollment. Consultative Selling: Host personalized video consultations with parents/adult learners, pitch trial sessions, and resolve concerns with clarity and empathy. Target Slayer: Consistently crush weekly revenue goals and contribute directly to Planet Spark’s growth engine. Client Success: Ensure a smooth onboarding experience and transition for every new learner. Upskill Mindset: Participate in hands-on training, mentorship, and feedback loops to constantly refine your game. 💡 Why Join Sales at Planet Spark? Only Warm Leads: Skip the cold calls—our leads already know us and have completed a demo session. High-Performance Culture: Be part of a fast-paced, energetic team that celebrates success and rewards hustle. Career Fast-Track: Unlock rapid promotions, performance bonuses, and leadership paths. Top-Notch Training: Experience immersive onboarding, live role-plays, and access to ongoing L&D programs. Rewards & Recognition: Weekly shoutouts, cash bonuses, and exclusive events to celebrate your wins. Make Real Impact: Help shape the minds of tomorrow while building a powerhouse career today. 🎯 What You Bring to the Table: Communication Powerhouse: You can build trust and articulate ideas clearly in both spoken and written formats. Sales-Driven: You know how to influence decisions, navigate objections, and close deals with confidence. Empathy First: You genuinely care about clients’ goals and tailor your approach to meet them. Goal-Oriented: You’re self-driven, proactive, and hungry for results. Tech Fluent: Comfortable using CRMs, video platforms, and productivity tools. ✨ What’s in It for You? 💼 High-growth sales career with serious earning potential 🌱 Continuous upskilling in EdTech, sales, and communication 🧘 Supportive culture that values growth and well-being 🎯 Opportunity to work at the cutting edge of education innovation

About The Role Grade Level (for internal use): 10 The Team : The Data Engineering team is responsible for architecting, building, and maintaining our evolving data infrastructure, as well as curating and governing the data assets created on our platform. We work closely with various stakeholders to acquire, process, and refine vast datasets, focusing on creating scalable and optimized data pipelines. Our team possesses broad expertise in critical data domains, technology stacks, and architectural patterns. We foster knowledge sharing and collaboration, resulting in a unified strategy and seamless data management. The Impact: This role is the foundation of the products delivered. The data onboarded is the base for the company as it feeds into the products, platforms, and essential for supporting our advanced analytics and machine learning initiatives. What’s in it for you: Be the part of a successful team which works on delivering top priority projects which will directly contribute to Company’s strategy. Drive the testing initiatives including supporting Automation strategy, performance, and security testing. This is the place to enhance your Testing skills while adding value to the business. As an experienced member of the team, you will have the opportunity to own and drive a project end to end and collaborate with developers, business analysts and product managers who are experts in their domain which can help you to build multiple skillsets. Responsibilities Design, develop, and maintain scalable and efficient data pipelines to process large volumes of data. To implement ETL processes to acquire, validate, and process incoming data from diverse sources. Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand data requirements and translate them into technical solutions. Implement data ingestion, transformation, and integration processes to ensure data quality, accuracy, and consistency. Optimize Spark jobs and data processing workflows for performance, scalability, and reliability. Troubleshoot and resolve issues related to data pipelines, data processing, and performance bottlenecks. Conduct code reviews and provide constructive feedback to junior team members to ensure code quality and best practices adherence. Stay updated with the latest advancements in Spark and related technologies and evaluate their potential for enhancing existing data engineering processes. Develop and maintain documentation, including technical specifications, data models, and system architecture diagrams. Stay abreast of emerging trends and technologies in the data engineering and big data space and propose innovative solutions to enhance data processing capabilities. What We’re Looking For 5+ Years of experience in Data Engineering or related field Strong experience in Python programming with expertise in building data-intensive applications. Proven hands-on experience with Apache Spark, including Spark Core, Spark SQL, Spark Streaming, and Spark MLlib. Solid understanding of distributed computing concepts, parallel processing, and cluster computing frameworks. Proficiency in data modeling, data warehousing, and ETL techniques. Experience with workflow management platforms, preferably Airflow. Familiarity with big data technologies such as Hadoop, Hive, or HBase. Strong Knowledge of SQL and experience with relational databases. Hand on experience with AWS cloud data platform Strong problem-solving and troubleshooting skills, with the ability to analyze complex data engineering issues and provide effective solutions. Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. Nice to have experience on DataBricks Preferred Qualifications: Bachelor’s degree in Information Technology, Computer Information Systems, Computer Engineering, Computer Science, or other technical discipline What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf IFTECH202.1 - Middle Professional Tier I (EEO Job Group) Job ID: 315442 Posted On: 2025-07-23 Location: Ahmedabad, Gujarat, India

About Us: Planet Spark is reshaping the EdTech landscape by equipping kids and young adults with future-ready skills like public speaking, and more. We're on a mission to spark curiosity, creativity, and confidence in learners worldwide. If you're passionate about meaningful impact, growth, and innovation—you're in the right place. Location: Gurgaon (On-site) Experience Level: Entry to Early Career (Freshers welcome!) Shift Options: Domestic | Middle East | International Working Days: 5 days/week (Wednesday & Thursday off) | Weekend availability required Target Joiners: Any (Bachelor’s or Master’s) 🔥 What You'll Be Owning (Your Impact): Lead Activation: Engage daily with high-intent leads through dynamic channels—calls, video consults, and more. Sales Funnel Pro: Own the full sales journey—from first hello to successful enrollment. Consultative Selling: Host personalized video consultations with parents/adult learners, pitch trial sessions, and resolve concerns with clarity and empathy. Target Slayer: Consistently crush weekly revenue goals and contribute directly to Planet Spark’s growth engine. Client Success: Ensure a smooth onboarding experience and transition for every new learner. Upskill Mindset: Participate in hands-on training, mentorship, and feedback loops to constantly refine your game. 💡 Why Join Sales at Planet Spark? Only Warm Leads: Skip the cold calls—our leads already know us and have completed a demo session. High-Performance Culture: Be part of a fast-paced, energetic team that celebrates success and rewards hustle. Career Fast-Track: Unlock rapid promotions, performance bonuses, and leadership paths. Top-Notch Training: Experience immersive onboarding, live role-plays, and access to ongoing L&D programs. Rewards & Recognition: Weekly shoutouts, cash bonuses, and exclusive events to celebrate your wins. Make Real Impact: Help shape the minds of tomorrow while building a powerhouse career today. 🎯 What You Bring to the Table: Communication Powerhouse: You can build trust and articulate ideas clearly in both spoken and written formats. Sales-Driven: You know how to influence decisions, navigate objections, and close deals with confidence. Empathy First: You genuinely care about clients’ goals and tailor your approach to meet them. Goal-Oriented: You’re self-driven, proactive, and hungry for results. Tech Fluent: Comfortable using CRMs, video platforms, and productivity tools. ✨ What’s in It for You? 💼 High-growth sales career with serious earning potential 🌱 Continuous upskilling in EdTech, sales, and communication 🧘 Supportive culture that values growth and well-being 🎯 Opportunity to work at the cutting edge of education innovation

As a part of Microsoft's Cloud Supply Chain (CSCP) organization, your role will be crucial in supporting the growth of Microsoft's Cloud business which includes AI technologies. The vision of CSCP is to empower customers to achieve more by providing Cloud Capacity Differentiated at Scale. The mission is to deliver capacity for all cloud services predictably through intelligent systems and continuous learning. The responsibilities of CSCP extend beyond traditional supply chain functions to include supportability, decommissioning, and disposition of Data centre assets on a global scale. Within the Cloud Manufacturing Operations and Fulfilment (CMOF) organization, your role will focus on developing scalable and secure data architecture to support analytics and business processes. You will lead the creation of data pipelines, models, and integration strategies to enable analytics and AI capabilities across CMOF. This position plays a critical role in aligning data infrastructure with Microsoft's evolving Security Future Initiative (SFI) and engineering best practices. Key Responsibilities: - Design and develop scalable data ingestion pipelines from multiple sources. - Implement data orchestration using tools like Spark, PySpark, and Python. - Develop ETL jobs to optimize data flow and reliability. - Design logical and physical data models to support near real-time analytics. - Perform data profiling and gap analysis for migration to next-gen platforms. - Ensure data models support scalability, privacy, and governance. - Adhere to Microsoft's SFI guidelines, data residency policies, and data privacy regulations. - Implement data security measures like data masking and encryption. - Collaborate with engineering teams to ensure system updates and data lineage tracking. - Enable self-service BI and analytics using tools like Power BI and Azure Synapse. - Create reusable datasets, data models, and visualizations aligned with business priorities. - Translate business requirements into technical specs for scalable data solutions. Qualifications: Required: - Bachelor's degree in computer science, MIS, Data Engineering, or equivalent. - 5-8 years of experience in building cloud-based data systems and ETL frameworks. - Proficiency in relational databases, cloud-based data systems, and data orchestration tools. - Experience with visualization tools like Microsoft Power Platform and Fabric. Preferred: - Strong foundation in data modeling, warehousing, and data lake architecture. - Familiarity with ERP systems such as SAP and Dynamics 365. - Experience in modern development practices, agile methodologies, and version control. - Hands-on experience in data security, compliance controls, and governance frameworks. - Knowledge of AI applications for automated learning. Key Competencies: - Strong business acumen and strategic alignment of data capabilities. - Deep understanding of data privacy, compliance, and lifecycle management. - Excellent collaboration and communication skills across global teams. - Self-starter mindset with the ability to thrive in a fast-paced environment. - Strong analytical thinking, problem-solving skills, and continuous improvement mindset. - Ability to drive change and promote a data-driven culture within the organization.,

Role: Senior Analyst - Data Engineering Experience: 4 to 6 years Location: Chennai, Tamil Nadu , India (CHN) Job Description: A highly skilled and motivated Senior Engineer with deep expertise in the Databricks platform to join our growing data engineering and analytics team. As a Senior Engineer, you will play a crucial role in designing, building, and optimizing our data pipelines, data lakehouse solutions, and analytics infrastructure on Databricks. You will collaborate closely with data scientists, analysts, and other engineers to deliver high-quality, scalable, and reliable data solutions that drive business insights and decision-making. Job Responsibilities: Design, develop, and maintain scalable and robust data pipelines and ETL/ELT processes using Databricks, Spark (PySpark, Scala), Delta Lake, and related technologies. Architect and implement data lakehouse solutions on Databricks, ensuring data quality, integrity, and performance. Develop and optimize data models for analytical and reporting purposes within the Databricks environment. Implement and manage data governance and security best practices within the Databricks platform, including Unity Catalog and RBAC. Utilize Databricks Delta Live Tables (DLT) to build and manage reliable data pipelines. Implement and leverage Change Data Feed (CDF) for efficient data synchronization and updates. Monitor and troubleshoot data pipelines and system performance on the Databricks platform. Collaborate with data scientists and analysts to understand their data requirements and provide efficient data access and processing solutions. Participate in code reviews, ensuring adherence to coding standards and best practices. Contribute to the development of technical documentation and knowledge sharing within the team. Stay up-to-date with the latest advancements in Databricks and related data technologies. Mentor and guide junior engineers on the team. Participate in the planning and execution of data-related projects and initiatives. Skills Required: Databricks, SQL, Pyspark, Python Data modeling, DE concepts Job Snapshot Updated Date 24-07-2025 Job ID J_3897 Location Chennai, Tamil Nadu, India Experience 4 - 6 Years Employee Type Permanent

Job Description: Job Title: Data/AI Engineer – GenAI & Agentic AI Integration (Azure) Location: Bangalore, India Job Type: Full-Time About the Role We are seeking a highly skilled Data/AI Engineer to join our dynamic team, specializing in integrating cutting-edge Generative AI (GenAI) and Agentic AI solutions within the Azure cloud environment. The ideal candidate will have a strong background in Python, data engineering, and AI model integration, with hands-on experience working on Databricks, Snowflake, Azure Storage, and Palantir platforms. You will play a crucial role in designing, developing, and deploying scalable data and AI pipelines that power next-generation intelligent applications. Key Responsibilities Design, develop, and maintain robust data pipelines and AI integration solutions using Python on Azure Databricks. Integrate Generative AI and Agentic AI models into existing and new workflows to drive business innovation and automation. Collaborate with data scientists, AI researchers, software engineers, and product teams to deliver scalable and efficient AI-powered solutions. Orchestrate data movement and transformation across Azure-native services including Azure Databricks, Azure Storage (Blob, Data Lake), and Snowflake, ensuring data quality, security, and compliance. Integrate enterprise data using Palantir Foundry and leverage Azure services for end-to-end solutions. Develop and implement APIs and services to facilitate seamless AI model deployment and integration. Optimize data workflows for performance and scalability within Azure. Monitor, troubleshoot, and resolve issues related to data and AI pipeline performance. Document architecture, designs, and processes for knowledge sharing and operational excellence. Stay current with advances in GenAI, Agentic AI, Azure data engineering best practices, and cloud technologies. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent practical experience). 5+ years of professional experience in data engineering or AI engineering roles. Strong proficiency in Python for data processing, automation, and AI model integration. Hands-on experience with Azure Databricks and Spark for large-scale data engineering. Proficiency in working with Snowflake for cloud data warehousing. In-depth experience with Azure Storage solutions (Blob, Data Lake) for data ingestion and management. Familiarity with Palantir Foundry or similar enterprise data integration platforms. Demonstrated experience integrating and deploying GenAI or Agentic AI models in production environments. Knowledge of API development and integration for AI and data services. Strong problem-solving skills and ability to work in a fast-paced, collaborative environment. Excellent communication and documentation skills. Preferred Qualifications Experience with Azure Machine Learning, Azure Synapse Analytics, and other Azure AI/data services. Experience with MLOps, model monitoring, and automated deployment pipelines in Azure. Exposure to data governance, privacy, and security best practices. Experience with visualization tools and dashboard development. Knowledge of advanced AI model architectures, including LLMs and agent-based systems. #DataEngineer Weekly Hours: 40 Time Type: Regular Location: Bangalore, Karnataka, India It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.

Category Engineering Experience Principal Associate Primary Address Bangalore, Karnataka Overview Voyager (94001), India, Bangalore, Karnataka Principal Associate- Fullstack Engineering Job Description Generative AI Observability & Governance for ML Platform At Capital One India, we work in a fast paced and intellectually rigorous environment to solve fundamental business problems at scale. Using advanced analytics, data science and machine learning, we derive valuable insights about product and process design, consumer behavior, regulatory and credit risk, and more from large volumes of data, and use it to build cutting edge patentable products that drive the business forward. We’re looking for a Principal Associate, Full Stack to join the Machine Learning Experience (MLX) team! As a Capital One Principal Associate, Full Stack, you'll be part of a team focusing on observability and model governance automation for cutting edge generative AI use cases. You will work on building solutions to collect metadata, metrics and insights from the large scale genAI platform. And build intelligent and smart solutions to derive deep insights into platform's use-cases performance and compliance with industry standards. You will contribute to building a system to do this for Capital One models, accelerating the move from fully trained models to deployable model artifacts ready to be used to fuel business decisioning and build an observability platform to monitor the models and platform components. The MLX team is at the forefront of how Capital One builds and deploys well-managed ML models and features. We onboard and educate associates on the ML platforms and products that the whole company uses. We drive new innovation and research and we’re working to seamlessly infuse ML into the fabric of the company. The ML experience we're creating today is the foundation that enables each of our businesses to deliver next-generation ML-driven products and services for our customers. What You’ll Do: Lead the design and implementation of observability tools and dashboards that provide actionable insights into platform performance and health. Leverage Generative AI models and fine tune them to enhance observability capabilities, such as anomaly detection, predictive analytics, and troubleshooting copilot. Build and deploy well-managed core APIs and SDKs for observability of LLMs and proprietary Gen-AI Foundation Models including training, pre-training, fine-tuning and prompting. Work with model and platform teams to build systems that ingest large amounts of model and feature metadata and runtime metrics to build an observability platform and to make governance decisions to ensure ethical use, data integrity, and compliance with industry standards for Gen-AI. Partner with product and design teams to develop and integrate advanced observability tools tailored to Gen-AI. Collaborate as part of a cross-functional Agile team,data scientists, ML engineers, and other stakeholders to understand requirements and translate them into scalable and maintainable solutions. Bring research mindset, lead Proof of concept to showcase capabilities of large language models in the realm of observability and governance which enables practical production solutions for improving platform users productivity. Basic Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. At least 4 years of experience designing and building data intensive solutions using distributed computing with deep understanding of microservices architecture. At least 4 years of experience programming with Python, Go, or Java Proficiency in observability tools such as Prometheus, Grafana, ELK Stack, or similar, with a focus on adapting them for Gen AI systems. Excellent knowledge in Open Telemetry and priority experience in building SDKs and APIs. Hands-on experience with Generative AI models and their application in observability or related areas. Excellent knowledge in Open Telemetry and priority experience in building SDKs and APIs. At least 2 years of experience with cloud platforms like AWS, Azure, or GCP. Preferred Qualifications: At least 4 years of experience building, scaling, and optimizing ML systems At least 3 years of experience in MLOps either using open source tools like MLFlow or commercial tools At least 2 Experience in developing applications using Generative AI i.e open source or commercial LLMs, and some experience in latest open source libraries such as LangChain, haystack and vector databases like open search, chroma and FAISS. Preferred prior experience in leveraging open source libraries for observability such as langfuse, phoenix, openInference, helicone etc. Contributed to open source libraries specifically GEN-AI and ML solutions Authored/co-authored a paper on a ML technique, model, or proof of concept Preferred experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow. Prior experience in NVIDIA GPU Telemetry and experience in CUDA Knowledge of data governance and compliance, particularly in the context of machine learning and AI systems. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). This carousel contains a column of headings. Selecting a heading will change the main content in the carousel that follows. Use the Previous and Next buttons to cycle through all the options, use Enter to select. This carousel shows one item at a time. Use the preceding navigation carousel to select a specific heading to display the content here. How We Hire We take finding great coworkers pretty seriously. Step 1 Apply It only takes a few minutes to complete our application and assessment. Step 2 Screen and Schedule If your application is a good match you’ll hear from one of our recruiters to set up a screening interview. Step 3 Interview(s) Now’s your chance to learn about the job, show us who you are, share why you would be a great addition to the team and determine if Capital One is the place for you. Step 4 Decision The team will discuss — if it’s a good fit for us and you, we’ll make it official! How to Pick the Perfect Career Opportunity Overwhelmed by a tough career choice? Read these tips from Devon Rollins, Senior Director of Cyber Intelligence, to help you accept the right offer with confidence. Your wellbeing is our priority Our benefits and total compensation package is designed for the whole person. Caring for both you and your family. Healthy Body, Healthy Mind You have options and we have the tools to help you decide which health plans best fit your needs. Save Money, Make Money Secure your present, plan for your future and reduce expenses along the way. Time, Family and Advice Options for your time, opportunities for your family, and advice along the way. It’s time to BeWell. Career Journey Here’s how the team fits together. We’re big on growth and knowing who and how coworkers can best support you.

Category Engineering Experience Principal Associate Primary Address Bangalore, Karnataka Overview Voyager (94001), India, Bangalore, Karnataka Principal Associate- Fullstack Engineering Job Description Generative AI Observability & Governance for ML Platform At Capital One India, we work in a fast paced and intellectually rigorous environment to solve fundamental business problems at scale. Using advanced analytics, data science and machine learning, we derive valuable insights about product and process design, consumer behavior, regulatory and credit risk, and more from large volumes of data, and use it to build cutting edge patentable products that drive the business forward. We’re looking for a Principal Associate, Full Stack to join the Machine Learning Experience (MLX) team! As a Capital One Principal Associate, Full Stack, you'll be part of a team focusing on observability and model governance automation for cutting edge generative AI use cases. You will work on building solutions to collect metadata, metrics and insights from the large scale genAI platform. And build intelligent and smart solutions to derive deep insights into platform's use-cases performance and compliance with industry standards. You will contribute to building a system to do this for Capital One models, accelerating the move from fully trained models to deployable model artifacts ready to be used to fuel business decisioning and build an observability platform to monitor the models and platform components. The MLX team is at the forefront of how Capital One builds and deploys well-managed ML models and features. We onboard and educate associates on the ML platforms and products that the whole company uses. We drive new innovation and research and we’re working to seamlessly infuse ML into the fabric of the company. The ML experience we're creating today is the foundation that enables each of our businesses to deliver next-generation ML-driven products and services for our customers. What You’ll Do: Lead the design and implementation of observability tools and dashboards that provide actionable insights into platform performance and health. Leverage Generative AI models and fine tune them to enhance observability capabilities, such as anomaly detection, predictive analytics, and troubleshooting copilot. Build and deploy well-managed core APIs and SDKs for observability of LLMs and proprietary Gen-AI Foundation Models including training, pre-training, fine-tuning and prompting. Work with model and platform teams to build systems that ingest large amounts of model and feature metadata and runtime metrics to build an observability platform and to make governance decisions to ensure ethical use, data integrity, and compliance with industry standards for Gen-AI. Partner with product and design teams to develop and integrate advanced observability tools tailored to Gen-AI. Collaborate as part of a cross-functional Agile team,data scientists, ML engineers, and other stakeholders to understand requirements and translate them into scalable and maintainable solutions. Bring research mindset, lead Proof of concept to showcase capabilities of large language models in the realm of observability and governance which enables practical production solutions for improving platform users productivity. Basic Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. At least 4 years of experience designing and building data intensive solutions using distributed computing with deep understanding of microservices architecture. At least 4 years of experience programming with Python, Go, or Java Proficiency in observability tools such as Prometheus, Grafana, ELK Stack, or similar, with a focus on adapting them for Gen AI systems. Excellent knowledge in Open Telemetry and priority experience in building SDKs and APIs. Hands-on experience with Generative AI models and their application in observability or related areas. Excellent knowledge in Open Telemetry and priority experience in building SDKs and APIs. At least 2 years of experience with cloud platforms like AWS, Azure, or GCP. Preferred Qualifications: At least 4 years of experience building, scaling, and optimizing ML systems At least 3 years of experience in MLOps either using open source tools like MLFlow or commercial tools At least 2 Experience in developing applications using Generative AI i.e open source or commercial LLMs, and some experience in latest open source libraries such as LangChain, haystack and vector databases like open search, chroma and FAISS. Preferred prior experience in leveraging open source libraries for observability such as langfuse, phoenix, openInference, helicone etc. Contributed to open source libraries specifically GEN-AI and ML solutions Authored/co-authored a paper on a ML technique, model, or proof of concept Preferred experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow. Prior experience in NVIDIA GPU Telemetry and experience in CUDA Knowledge of data governance and compliance, particularly in the context of machine learning and AI systems. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Location Gurugram, Haryana, India Category Corporate Job Id GGN00002168 Tech Ops / Maintenance - Management & Administrative Job Type Full-Time Posted Date 07/24/2025 Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what’s next. Let’s define tomorrow, together. Description At United, we have some of the best aircraft in the world. Our Technical Operations team is full of aircraft maintenance technicians, engineers, planners, ground equipment and facilities professionals, and supply chain teams that help make sure they’re well taken care of and ready to get our customers to their desired destinations. If you’re ready to work on our planes, join our Tech Ops experts and help keep our fleet in tip-top shape. Job overview and responsibilities United's Maintenance & Engineering operation collects mountains of data, including maintenance plans, log pages, task signoffs, schedule reliability performance, aircraft routing, part availability, and more. The Tech Ops Business Intelligence team will be tasked to deliver the right information to the right people in the right format at the right time, all with the goal of enabling better operational decisions that improve United's flight completion rate, on-time performance, productivity, and cost. This includes both performance trends looking backward, real-time operational status, and expectations looking forward. The team has five core responsibilities: Data design and validation, Data analysis, KPI design, dashboard creation, and automation. Support with design of meaningful metrics that indicate operational health and inform operational decisions Generate high-quality operational dashboards and reports for Tech Ops leadership, front-line management, and individual business teams throughout the organization Curate tables and views that serve as the "single source of truth" for United's Tech Ops data Continuously interface with business groups throughout Tech Ops to understand organizational needs and design solutions Support with automating existing manual reports and processes to improve operational throughput Document the Tech Ops data landscape, maintain an inventory of reports, and plan for report consolidation, elimination, and/or improvement This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. This position is for United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc. Qualifications What’s needed to succeed (Minimum Qualifications): Bachelor's degree in a quantitative field like Math, Statistics, Operations Research, Computer Science, Engineering, or related field required At least 2 years of experience in analytics/ reporting required Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Understanding of data structures, relationships, and efficient transformations Knowledge and application of data visualization best practices" Familiarity with writing complex queries and procedures using both traditional and modern technologies/languages (i.e. SQL, Python, Spark, etc.) Data visualization skills using one or more reporting tools (i.e. Spotfire, Tableau, ggplot2, etc.) to produce meaningful, elegant dashboards Experience with JavaScript, D3, HTML, CSS / front-end development Ability to learn what a business team does, then design a data/technology solution that connects business processes with quantifiable outcomes Must be legally authorized to work in India for any employer without sponsorship Must be fluent in English (written and spoken) Successful completion of interview required to meet job qualification Reliable, punctual attendance is an essential function of the position What will help you propel from the pack (Preferred Qualifications): Master's Degree in a quantitative field preferred Airline experience or knowledge of airline operations preferred Familiarity with various parts of the data ecosystem (acquisition, engineering, storage, management, analysis, visualization, and deployment) preferred Exposure to statistical and analytical methods preferred