5335 Hive Jobs - Page 4

You should have 6-8 years of hands-on experience with Big Data technologies such as pySpark (Data frame and SparkSQL), Hadoop, and Hive. Additionally, you should possess good hands-on experience with python and Bash Scripts, along with a solid understanding of SQL and data warehouse concepts. Strong analytical, problem-solving, data analysis, and research skills are crucial for this role. It is essential to have a demonstrable ability to think creatively and independently, beyond relying solely on readily available tools. Excellent communication, presentation, and interpersonal skills are a must for effective collaboration within the team. Hands-on experience with Cloud Platform provided Big Data technologies like IAM, Glue, EMR, RedShift, S3, and Kinesis is required. Experience in orchestrating with Airflow and any job scheduler is highly beneficial. Familiarity with migrating workloads from on-premise to cloud and cloud to cloud migrations is also desired. In this role, you will be responsible for developing efficient ETL pipelines based on business requirements while adhering to development standards and best practices. Integration testing of different pipelines in AWS environment and providing estimates for development, testing, and deployments on various environments will be part of your responsibilities. Participation in code peer reviews to ensure compliance with best practices is essential. Creating cost-effective AWS pipelines using necessary AWS services like S3, IAM, Glue, EMR, Redshift, etc., is a key aspect of this position. Your experience should range from 6 to 8 years in relevant fields. The job reference number for this position is 13024.,

You should possess a BTech degree in computer science, engineering, or a related field of study, or have 12+ years of related work experience. Additionally, you should have at least 7 years of design and implementation experience with large-scale data-centric distributed applications. It is essential to have professional experience in architecting and operating cloud-based solutions, with a good understanding of core disciplines such as compute, networking, storage, security, and databases. A strong grasp of data engineering concepts like storage, governance, cataloging, data quality, and data modeling is required. Familiarity with various architecture patterns like data lake, data lake house, and data mesh is also important. You should have a good understanding of Data Warehousing concepts and hands-on experience with tools like Hive, Redshift, Snowflake, and Teradata. Experience in migrating or transforming legacy customer solutions to the cloud is highly valued. Moreover, experience working with services like AWS EMR, Glue, DMS, Kinesis, RDS, Redshift, Dynamo DB, Document DB, SNS, SQS, Lambda, EKS, and Data Zone is necessary. A thorough understanding of Big Data ecosystem technologies such as Hadoop, Spark, Hive, and HBase, along with other relevant tools and technologies, is expected. Knowledge in designing analytical solutions using AWS cognitive services like Textract, Comprehend, Rekognition, and Sagemaker is advantageous. You should also have experience with modern development workflows like git, continuous integration/continuous deployment pipelines, static code analysis tooling, and infrastructure-as-code. Proficiency in a programming or scripting language like Python, Java, or Scala is required. Possessing an AWS Professional/Specialty certification or relevant cloud expertise is a plus. In this role, you will be responsible for driving innovation within the Data Engineering domain by designing reusable and reliable accelerators, blueprints, and libraries. You should be capable of leading a technology team, fostering an innovative mindset, and enabling fast-paced deliveries. Adapting to new technologies, learning quickly, and managing high ambiguity are essential skills for this position. You will collaborate with business stakeholders, participate in various architectural, design, and status calls, and showcase good presentation skills when interacting with executives, IT Management, and developers. Furthermore, you will drive technology/software sales or pre-sales consulting discussions, ensure end-to-end ownership of tasks, and maintain high-quality software development with complete documentation and traceability. Fulfilling organizational responsibilities, sharing knowledge and experience with other teams/groups, conducting technical training sessions, and producing whitepapers, case studies, and blogs are also part of this role. The ideal candidate for this position should have 10 to 18 years of experience and be able to reference the job with the number 12895.,

The team at Walmart Global Tech builds reusable technologies to assist in acquiring customers, onboarding and empowering merchants, and ensuring a seamless experience for all stakeholders. They focus on optimizing tariffs and assortment while maintaining Walmart's philosophy of Everyday Low Cost. Additionally, the team creates personalized omnichannel experiences for customers across various platforms. The Marketplace team serves as the gateway for Third-Party sellers, enabling them to manage their onboarding, catalog, orders, and returns. They are responsible for designing, developing, and operating large-scale distributed systems using cutting-edge technologies. As a Staff Data Scientist at Walmart Global Tech, you will be responsible for developing scalable end-to-end data science solutions for data products. You will collaborate with data engineers and analysts to build ML- and statistics-driven data quality workflows. Your role will involve solving business problems by scaling advanced Machine Learning algorithms on large datasets. You will own the MLOps lifecycle, from data monitoring to model lifecycle management. Additionally, you will demonstrate thought leadership by consulting with product and business stakeholders to deploy machine learning solutions. The ideal candidate should have knowledge of machine learning and statistics, experience with web service standards, and proficiency in architecting solutions with Continuous Integration and Continuous Delivery. Strong coding skills in Python, experience with Big Data technologies like Hadoop and Spark, and the ability to work in a big data ecosystem are preferred. Candidates should have experience in developing and deploying machine learning solutions and collaborating with data scientists. Effective communication skills and the ability to present complex ideas clearly are also desired. Educational qualifications in Computer Science, Statistics, Engineering, or related fields are preferred. Candidates with prior experience in Delivery Promise Optimization or Supply Chain domains and hands-on experience in Spark or similar frameworks will be given preference. At Walmart Global Tech, you will have the opportunity to work in a dynamic environment where your contributions can impact millions of people. The team values innovation, collaboration, and continuous learning. Join us in reimagining the future of retail and making a difference on a global scale. Walmart Global Tech offers a hybrid work model that combines in-office and virtual presence. The company provides competitive compensation, incentive awards, and a range of benefits including maternity leave, health benefits, and more. Walmart fosters a culture of belonging where every associate is valued and respected. The company is committed to creating opportunities for all associates, customers, and suppliers. As an Equal Opportunity Employer, Walmart believes in understanding, respecting, and valuing the uniqueness of individuals while promoting inclusivity.,

As an Assistant Manager - Analytics, you will be responsible for overseeing data-driven projects, designing intricate data solutions, offering valuable insights to stakeholders, and contributing to the advancement of our Ads product and business metrics. Your role will involve delving into deep insights on Ads core product, conducting large-scale experimentation on Adtech innovation, and forecasting demand-supply to drive growth within our Ads product and a multifaceted Ads Entertainment business. The Central Analytics team, situated within various business & product teams in a matrix structure, serves as a thought partner by providing comprehensive data insights to steer strategic decisions. This team acts as a strategic enabler for JioHotstar Ads business and product functions. By analyzing consumer experience, consumer supply, advertisers demand, and our Ad serving capabilities, we aim to achieve goals (KPIs) across Ads product, Advertisers objectives, and Entertainment business planning. We implement experiments, leverage GenAI for innovative problem-solving, and construct analytical frameworks to guide key decisions. Reporting to the Manager - Product Analytics, your key responsibilities will include applying analytics knowledge in problem-solving, generating and delivering quality data insights through reports, dashboards, and structured documentation using tools like Power BI and Tableau, developing a profound understanding of the data platform and technology stack, utilizing statistical techniques for validation, effectively communicating complex data concepts to diverse audiences, partnering with stakeholders for identifying opportunities and supporting strategic decisions, managing projects end-to-end, contributing data-driven insights in experiments, and fostering a culture of innovation, collaboration, and continuous improvement. To excel in this role, you should demonstrate expertise in predictive analysis with proficiency in R, SQL, Python, and Pyspark. Familiarity with big data platforms and tools like Hadoop, Spark, and Hive is preferred. Experience in dashboard building and data visualization using tools such as Tableau and Power BI is advantageous. You should possess advanced technical skills and the ability to collect, organize, and disseminate information accurately. A background in digital analytics, clickstream data, passion for the entertainment industry, and understanding of online video streaming platforms are desirable. Experience in Adtech and OTT platforms is also preferred. Ideally, you should hold a Bachelor's or Master's degree in Engineering, Mathematics, Operational Research, Statistics, Physics, or a related technical discipline, coupled with 4-6 years of experience in Business/Product Analytics, preferably from consumer technology companies. JioStar is an equal opportunity employer that values diversity and aims to create an inclusive workplace free from discrimination.,

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Consultant, Advisors & Consulting Services, Performance Analytics Consultant – Performance Analytics Advisors & Consulting Services Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercard’s rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement, and scale analytical solutions for customers. They use qualitative and quantitative analytical techniques and enterprise applications to synthesize analyses into clear recommendations and impactful narratives. Positions for different specializations and levels are available in separate job postings. Please review our consulting specializations to learn more about all opportunities and apply for the position that is best suited to your background and experience: https://careers.mastercard.com/us/en/consulting-specializations-at-mastercard Roles and Responsibilities Client Impact Provide creative input on projects across a range of industries and problem statements Contribute to the development of analytics strategies and programs for regional and global clients by leveraging data and technology solutions to unlock client value Collaborate with Mastercard team to understand clients’ needs, agenda, and risks Develop working relationship with client analysts/managers, and act as trusted and reliable partner Team Collaboration & Culture Collaborate with senior project delivery consultants to identify key findings, prepare effective presentations, and deliver recommendations to clients Independently identify trends, patterns, issues, and anomalies in defined area of analysis, and structure and synthesize own analysis to highlight relevant findings Lead internal and client meetings, and contribute to project management Contribute to the firm's intellectual capital Receive mentorship from performance analytics leaders for professional growth and development Qualifications Basic qualifications Undergraduate degree with data and analytics experience in business intelligence and/or descriptive, predictive, or prescriptive analytics Experience managing clients or internal stakeholders Ability to analyze large datasets and synthesize key findings Proficiency using data analytics software (e.g., Python, R, SQL, SAS) Advanced Word, Excel, and PowerPoint skills Ability to perform multiple tasks with multiple clients in a fast-paced, deadline-driven environment Ability to communicate effectively in English and the local office language (if applicable) Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs Preferred Qualifications Additional data and analytics experience in building, managing, and maintaining database structures, working with data visualization tools (e.g., Tableau, Power BI), or working with Hadoop framework and coding using Impala, Hive, or PySpark Ability to analyze large datasets and synthesize key findings to provide recommendations via descriptive analytics and business intelligence Experience managing tasks or workstreams in a collaborative team environment Ability to identify problems, brainstorm and analyze answers, and implement the best solutions Relevant industry expertise Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Data Science (GenAI & Prompt engineering) – Bangalore Business Analytics Analyst 2 About CITI Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. Analytics and Information Management (AIM) Citi AIM was established in 2003, and is located across multiple cities in India – Bengaluru, Chennai, Pune and Mumbai. It is a global community that objectively connects and analyzes information, to create actionable intelligence for our business leaders. It identifies fact-based opportunities for revenue growth in partnership with the businesses. The function balances customer needs, business strategy, and profit objectives using best in class and relevant analytic methodologies. What do we do? The North America Consumer Bank – Data Science and Modeling team analyzes millions of prospects and billions of customer level transactions using big data tools and machine learning, AI techniques to unlock opportunities for our clients in meeting their financial needs and create economic value for the bank. The team extracts relevant insights, identifies business opportunities, converts business problems into modeling framework, uses big data tools, latest deep learning and machine learning algorithms to build predictive models, implements solutions and designs go-to-market strategies for a huge variety of business problems. Role Description The role will be Business Analytics Analyst 2 in the Data Science and Modeling of North America Consumer Bank team The role will report to the AVP / VP leading the team What do we offer: The Next Gen Analytics (NGA) team is a part of the Analytics & Information Management (AIM) unit. The NGA modeling team will focus on the following areas of work: Role Expectations: Client Obsession – Create client centric analytic solution to business problems. Individual should be able to have a holistic view of multiple businesses and develop analytic solutions accordingly. Analytic Project Execution – Own and deliver multiple and complex analytic projects. This would require an understanding of business context, conversion of business problems in modeling, and implementing such solutions to create economic value. Domain expert – Individuals are expected to be domain expert in their sub field, as well as have a holistic view of other business lines to create better solutions. Key fields of focus are new customer acquisition, existing customer management, customer retention, product development, pricing and payment optimization and digital journey. Modeling and Tech Savvy – Always up to date with the latest use cases of modeling community, machine learning and deep learning algorithms and share knowledge within the team. Statistical mind set – Proficiency in basic statistics, hypothesis testing, segmentation and predictive modeling. Communication skills – Ability to translate and articulate technical thoughts and ideas to a larger audience including influencing skills with peers and senior management. Strong project management skills. Ability to coach and mentor juniors. Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc. Role Responsibilities: Work with large and complex datasets using a variety of tools (Python, PySpark, SQL, Hive, etc.) and frameworks to build Deep learning/generative AI solutions for various business requirements. Primary focus areas include model training/fine-tuning, model validation, model deployment, and model governance related to multiple portfolios. Design, fine-tune and implement LLMs/GenAI applications using techniques like prompt engineering, Retrieval Augmented Generation (RAG) and model fine-tuning Responsible for documenting data requirements, data collection/processing/cleaning, and exploratory data analysis, including utilizing deep learning /generative AI algorithms and, data visualization techniques. Incumbents in this role may often be referred to as Data Scientists. Specialization in marketing, risk, digital, and AML fields possible, applying Deep learning & generative AI models to innovate in these domains. Collaborate with team members and business partners to build model-driven solutions using cutting-edge Generative AI models (e.g., Large Language Models) and also at times, ML/traditional methods (XGBoost, Linear, Logistic, Segmentation, etc.) Work with model governance & fair lending teams to ensure compliance of models in accordance with Citi standards. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules, and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. What do we look for: If you are a bright and talented individual looking for a career in AI and Machine Learning with a focus on Generative AI , Citi has amazing opportunities for you. Bachelor’s Degree with atleast 3 years of experience in data analytics, or Master’s Degree with 2 years of experience in data analytics, or PhD. Technical Skills Hands-on experience in PySpark/Python/R programing along with strong experience in SQL. 2-4 years of experience working on deep learning, and generative AI applications Experience working on Transformers/ LLMs (OpenAI, Claude, Gemini etc.,), Prompt engineering, RAG based architectures and relevant tools/frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, LangChain, LlamaIndex etc., Solid understanding of deep learning, transformers/language models. Familiarity with vector databases and fine-tuning techniques Experience working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding. Strong background in Statistical Analysis. Capability to validate/maintain deployed models in production Self-motivated and able to implement innovative solutions at fast pace Experience in Credit Cards and Retail Banking is preferred Competencies Strong communication skills Multiple stake holder management Strong analytical and problem solving skills Excellent written and oral communication skills Strong team player Control orientated and Risk awareness Working experience in a quantitative field Willing to learn and can-do attitude Ability to build partnerships with cross-function leaders Education: Bachelor's / master’s degree in economics / Statistics / Mathematics / Information Technology / Computer Applications / Engineering etc. from a premier institute Other Details Employment: Full Time Industry: Credit Cards, Retail Banking, Financial Services, Banking ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Specialized Analytics (Data Science/Computational Statistics) ------------------------------------------------------ Time Type: ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

hackajob is collaborating with American Express to connect them with exceptional tech professionals for this role. At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. Join Team Amex and let's lead the way together. From building next-generation apps and microservices in Kotlin to using AI to help protect our franchise and customers from fraud, you could be doing entrepreneurial work that brings our iconic, global brand into the future. As a part of our tech team, we could work together to bring ground-breaking and diverse ideas to life that power our digital systems, services, products and platforms. If you love to work with APIs, contribute to open source, or use the latest technologies, we’ll support you with an open environment and learning culture. Function Description American Express is looking for energetic, successful and highly skilled Engineers to help shape our technology and product roadmap. Our Software Engineers not only understand how technology works, but how that technology intersects with the people who count on it every day. Today, innovative ideas, insight and new points of view are at the core of how we create a more powerful, personal and fulfilling experience for our customers and colleagues, with batch/real-time analytical solutions using ground-breaking technologies to deliver innovative solutions across multiple business units. This Engineering role is based in our Global Risk and Compliance Technology organization and will have a keen focus on platform modernization, bringing to life the latest technology stacks to support the ongoing needs of the business as well as compliance against global regulatory requirements. Qualifications Support the Compliance and Operations Risk data delivery team in India to lead and assist in the design and actual development of applications. Responsible for specific functional areas within the team, this involves project management and taking business specifications. The individual should be able to independently run projects/tasks delegated to them. Technology Skills Bachelor degree in Engineering or Computer Science or equivalent 2 to 5 years experience is required GCP professional certification - Data Engineer Expert in Google BigQuery tool for data warehousing needs. Experience on Big Data (Spark Core and Hive) preferred Familiar with GCP offerings, experience building data pipelines on GCP a plus Hadoop Architecture, having knowledge on Hadoop, Map Reduce, Hbase. UNIX shell scripting experience is good to have Creative problem solving (Innovative) Benefits We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

🌟 Distinguished Tech Innovator:3Pillar warmly extends an invitation for you to join an elite team of visionaries. Beyond software development, we are dedicated to engineering solutions that challenge conventional norms. Envision you: steering projects that redefine urban living, establish new media channels for enterprise companies, or drive innovation in healthcare. Your invaluable expertise will serve as the cornerstone in shaping the future direction of our endeavors.This role transcends the ordinary realms of coding; it's about orchestrating technological marvels that disrupt industries. Seize this extraordinary opportunity to lead a team that is actively shaping the tech landscape for our clients, and sets global standards along the way. 🌍🔥 Minimum Qualification 5+ Years of Experience into IT Experience: 4+ years of experience in data engineering, Strong exp in Snowflake. Programming & Scripting: Strong programming skills in Python and Linux Bash for automation and data workflows. Framework Proficiency: Hands-on experience with Luigi for orchestrating complex data workflows. Data Processing & Storage: Expertise in Hadoop ecosystem tools and managing SQL databases for data storage and query optimization. AWS Cloud Services: In-depth knowledge of AWS EC2, S3, RDS, and EMR to deploy and manage data solutions. Monitoring & Alerting Tools: Familiarity with monitoring solutions for real-time tracking and troubleshooting of data pipelines. Communication & Leadership: Proven ability to lead projects, communicate with stakeholders, and guide junior team members. Additional Experience Data Architecture: Experience designing or optimizing data lake solutions. Security Practices: Understanding of data security practices, data governance, and compliance for secure data processing. Automation & CI/CD: Familiarity with CI/CD tools to support automation of deployment and testing. Big Data Technologies: Knowledge of big data processing tools like Spark, Hive, or related AWS services. Advanced Analytics: Background in analytics or data science to contribute to more data-driven decision-making. Cross-Functional Collaboration: Experience collaborating with non-technical teams on business goals and technical solutions.

Summary As a Data Analyst, you will be responsible for Design, develop, and maintain efficient and scalable data pipelines for data ingestion, transformation, and storage. About The Role Location – Hyderabad Hybrid About The Role: As a Data Analyst, you will be responsible for Design, develop, and maintain efficient and scalable data pipelines for data ingestion, transformation, and storage. Key Responsibilities: Design, develop, and maintain efficient and scalable data pipelines for data ingestion, transformation, and storage. Collaborate with cross-functional teams, including data analysts, business analyst and BI, to understand data requirements and design appropriate solutions. Build and maintain data infrastructure in the cloud, ensuring high availability, scalability, and security. Write clean, efficient, and reusable code in scripting languages, such as Python or Scala, to automate data workflows and ETL processes. Implement real-time and batch data processing solutions using streaming technologies like Apache Kafka, Apache Flink, or Apache Spark. Perform data quality checks and ensure data integrity across different data sources and systems. Optimize data pipelines for performance and efficiency, identifying and resolving bottlenecks and performance issues. Collaborate with DevOps teams to deploy, automate, and maintain data platforms and tools. Stay up to date with industry trends, best practices, and emerging technologies in data engineering, scripting, streaming data, and cloud technologies Essential Requirements: Bachelor's or Master's degree in Computer Science, Information Systems, or a related field with an overall experience of 2-4 Years. Proven experience as a Data Engineer or similar role, with a focus on scripting, streaming data pipelines, and cloud technologies like AWS, GCP or Azure. Strong programming and scripting skills in languages like Python, Scala, or SQL. Experience with cloud-based data technologies, such as AWS, Azure, or Google Cloud Platform. Hands-on experience with streaming technologies, such as AWS Streamsets, Apache Kafka, Apache Flink, or Apache Spark Streaming. Strong experience with Snowflake (Required) Proficiency in working with big data frameworks and tools, such as Hadoop, Hive, or HBase. Knowledge of SQL and experience with relational and NoSQL databases. Familiarity with data modelling and schema design principles. Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment. Excellent communication and teamwork skills. Commitment To Diversity And Inclusion: Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve. Accessibility And Accommodation: Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to diversityandincl.india@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards

Job Summary: We are looking for a skilled Senior Data Engineer with strong expertise in Spark and Scala on the AWS platform. The ideal candidate should possess excellent problem-solving skills and hands-on experience in Spark-based data processing within a cloud-based ecosystem. This role offers the opportunity to independently execute diverse and complex engineering tasks, demonstrate a solid understanding of the end-to-end software development lifecycle, and collaborate effectively with stakeholders to deliver high-quality technical solutions. Key Responsibilities: Develop, analyze, debug, and enhance Spark-Scala programs. Work on Spark batch processing jobs, with the ability to analyze/debug using Spark UI and logs. Optimize performance of Spark applications and ensure scalability and reliability. Manage data processing tasks using AWS S3, AWS EMR clusters, and other AWS services. Leverage Hadoop ecosystem tools including HDFS, HBase, Hive, and MapReduce. Write efficient and optimized SQL queries; experience with PostgreSQL and Couchbase or similar databases is preferred. Utilize orchestration tools such as Kafka, NiFi, and Oozie. Work with monitoring tools like Dynatrace and CloudWatch. Contribute to the creation of High-Level Design (HLD) and Low-Level Design (LLD) documents and participate in reviews with architects. Support development and lower environments setup, including local IDE configuration. Follow defined coding standards, best practices, and quality processes. Collaborate using Agile methodologies for development, review, and delivery. Use supplementary programming languages like Python as needed. Required Skills: Mandatory: Apache Spark Scala Big Data Hadoop Ecosystem Spark SQL Additional Preferred Skills: Spring Core Framework Core Java, Hibernate, Multithreading AWS EMR, S3, CloudWatch HDFS, HBase, Hive, MapReduce PostgreSQL, Couchbase Kafka, NiFi, Oozie Dynatrace or other monitoring tools Python (as supplementary language) Agile Methodology

Job Title Data Scientist - Deputy Manager Job Description Job title: Data Scientist - Deputy Manager Your role: Implements solutions to problems using data analysis, data mining, optimization tools and machine learning techniques and statistics Build data-science and technology based algorithmic solutions to address business needs Design large scale models using Regression, Linear Models Family, Time-series models. Drive the collection of new data and the refinement of existing data sources Analyze and interpret the results of analytics experiments Applies a global approach to analytical solutions-both within a business area and across the enterprise Ability to use data for Exploratory, descriptive, Inferential, Prescriptive, and Advanced Analytics Ability to share dashboards, reports, and Analytical insights from data Experience of having done visualization on large datasets – Preferred – added advantage Technical Knowledge and Skills required Experience solving analytical problems using quantitative approaches Passion for empirical research and for answering hard questions with data Ability to manipulate and analyze complex, high-volume, high-dimensionality data from varying sources Ability to apply a flexible analytic approach that allows for results at varying levels of precision Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner Expert knowledge of an analysis tool such as Pyspark and Python. Experience working with large data sets, experience working with distributed computing tools a plus (Map/Reduce, Hadoop, Hive, etc.) Familiarity with relational databases and SQL You're the right fit if: (4 x bullets max) 5 - 8 years of experience with engineering or equivalent background Experience with solving analytical problems using quantitative approaches Ability to manipulate and analyze complex, high-volume, high-dimensionality data from varying sources Ability to apply a flexible analytic approach that allows for results at varying levels of precision Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner Expert knowledge of an analysis tool such as R, Python Experience working with large data sets, experience working with distributed computing tools a plus (Map/Reduce, Hadoop, Hive, etc.) Familiarity with relational databases and SQL How We Work Together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company’s facilities. Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations. Indicate if this role is an office/field/onsite role. About Philips We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others. Learn more about our business. Discover our rich and exciting history. Learn more about our purpose. If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? This position is in the US Consumer Services Business Unit – Marketing Analytics team. The USCS team is passionate about making membership an indisputable competitive advantage and helping each other become better leaders every day. The U.S. Consumer Marketing team (USCM) is part of the US Consumer Services Group and is responsible for making membership essential by creating and delivering world class marketing for our differentiated products and services that drives demand and inspires engaged card members across the customer lifecycle. This specific role is part of prospect acquisition analytics and personalization team responsible for driving effective channel strategy and offer analytics for prospect channel. Key responsibilities include: Build effective targeting, offer, and messaging strategy for Consumer Referral Channel Analytics Partner with Channel Marketing, Product, Investment Optimization and Customer teams to implement effective acquisition strategies to drive growth in Referral channel Ensure accurate, efficient channel planning and leverage world class analytics & data science to help Referral channel further its personalization charter Work in a dynamic, fast changing environment, with attention to detail, superb communication skills and success driving results through multi-functional collaboration Evaluate impact on business of different initiatives and analyze data to create insights to advise strategy for further improvement Innovating and evolving processes to drive business results Expand usage of data-backed decisions/data science in strategies and scaling up opportunities for the channel Critical Factors to Success: Analytical Approach & Technical Expertise Strong Business Acumen Minimum Qualifications 2-3 years of relevant analytics experience. Degree in business, economics, statistics, mathematics, engineering or finance combined with a master’s or other secondary professional qualification Strong analytical and problem-solving skills. Strong interpersonal, written and verbal communication skills. Experience in programming languages like Hive, SQL, SAS, Python etc, Proficient in MS Office especially excel and powerpoint We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Your New Role This position will join the Enterprise Data and AI team that supports all brands in the Warner Bros umbrella including WB films in theatrical and home entertainment, DC studios, Consumer Products, games, etc. The ideal candidate is a subject matter expert in data science with exposure to predictive modeling, forecasting, recommendation engines and data analytics. This person will build data pipelines, apply statistical modeling and machine learning, and deliver meaningful insights about customers, products and business strategy WBD to drive data-based decisions Responsibilities As a Staff Data Scientist, you will play a critical role in advancing data-driven solutions to complex business challenges, influencing data strategy efforts for WBD Businesses. The responsibilities include: Analyze complex, high volumes of data from various sources using various tools and data analytics techniques. Partner with stakeholders to understand business questions and provide answers using the most appropriate mathematical techniques. Model Development and Implementation: Design, develop, and implement statistical models, predictive models and machine learning algorithms that inform strategic decisions across various business units. Exploratory Data Analysis: Utilize exploratory data analysis techniques to identify and investigate new opportunities through innovative analytical and engineering methods. Advanced Analytics Solutions: Collaborate with Product and Business stakeholders to understand business challenges and develop sophisticated analytical solutions. Data Automation: Advance automation initiatives that reduce the time spent on data preparation, enabling more focus on strategic analysis. Innovative Frameworks Construction: Develop and enhance frameworks that improve productivity and are intuitive for adoption across other data teams and be abreast with innovative machine learning techniques (e.g., deep learning, reinforcement learning, ensemble methods) and emerging AI technologies to stay ahead of industry trends. Collaborate with data engineering teams to architect and scale robust, efficient data pipelines capable of handling large, complex datasets, ensuring the smooth and automated flow of data from raw collection to insights generation. Deployment of machine learning models into production environments, collaborating with DevOps and engineering teams to ensure smooth integration and scalability. Quality Assurance: Implement robust systems to detect, alert, and rectify data anomalies. Qualifications & Experiences Bachelor’s degree, MS, or greater in Computer/Data Science, Engineering, Mathematics, Statistics, or related quantitative discipline. 8+ years relevant experience in Data Science. Expertise in a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, random forests, deep learning etc.) and experience with applications of these techniques. Expertise in advanced statistical techniques and concepts (regressions, statistical tests etc.) and experience with application of these tools. A demonstrated track record of utilizing data science to solve business problems in a professional environment. Expertise in SQL and either Python or R, including experience with application deployment packages like R Streamlit or Shiny. Experience with database technologies such as Databricks, Snowflake, and others. Familiarity with BI tools (Power BI, Looker, Tableau) and experience managing workflows in an Agile environment. Strong analytical and problem-solving abilities. Excellent communication skills to effectively convey complex data-driven insights to stakeholders. High attention to detail and capability to work independently in managing multiple priorities under tight deadlines. Proficiency in big data technologies (e.g., Spark, Kafka, Hive). Experience working in a cloud environment (AWS, Azure, GCP) to facilitate data solutions. Ability to collaborate effectively with business partners and develop and maintain productive professional relationships. Experience with adhering to established data management practices and standards. Ability to communicate to all levels of business, prioritize and manage assignments to meet deadlines and establish strong relationships. Interest in movies, games, and comics is a plus. How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

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 United's Digital Technology team designs, develops, and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions. Find your future at United! We’re reinventing what our industry looks like, and what an airline can be – from the planes we fly to the people who fly them. When you join us, you’re joining a global team of 100,000+ connected by a shared passion with a wide spectrum of experience and skills to lead the way forward. Achieving our ambitions starts with supporting yours. Evolve your career and find your next opportunity. Get the care you need with industry-leading health plans and best-in-class programs to support your emotional, physical, and financial wellness. Expand your horizons with travel across the world’s biggest route network. Connect outside your team through employee-led Business Resource Groups. Create what’s next with us. Let’s define tomorrow together. Job Overview And Responsibilities Data Engineering organization is responsible for driving data driven insights & innovation to support the data needs for commercial and operational projects with a digital focus. Data Engineer will be responsible to partner with various teams to define and execute data acquisition, transformation, processing and make data actionable for operational and analytics initiatives that create sustainable revenue and share growth Design, develop, and implement streaming and near-real time data pipelines that feed systems that are the operational backbone of our business Execute unit tests and validating expected results to ensure accuracy & integrity of data and applications through analysis, coding, writing clear documentation and problem resolution This role will also drive the adoption of data processing and analysis within the Hadoop environment and help cross train other members of the team Leverage strategic and analytical skills to understand and solve customer and business centric questions Coordinate and guide cross-functional projects that involve team members across all areas of the enterprise, vendors, external agencies and partners Leverage data from a variety of sources to develop data marts and insights that provide a comprehensive understanding of the business Develop and implement innovative solutions leading to automation Use of Agile methodologies to manage projects Mentor and train junior engineers 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. Qualifications What’s needed to succeed (Minimum Qualifications): BS/BA, in computer science or related STEM field 2+ years of IT experience in software development 2+ years of development experience using Java, Python, Scala 2+ years of experience with Big Data technologies like PySpark, Hadoop, Hive, HBASE, Kafka, Nifi 2+ years of experience with relational database systems like MS SQL Server, Oracle, Teradata Creative, driven, detail-oriented individuals who enjoy tackling tough problems with data and insights Individuals who have a natural curiosity and desire to solve problems are encouraged to apply Must be legally authorized to work in India for any employer without sponsorship Must be fluent in English and Hindi (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): Masters in computer science or related STEM field Experience with cloud based systems like AWS, AZURE or Google Cloud Certified Developer / Architect on AWS Strong experience with continuous integration & delivery using Agile methodologies Data engineering experience with transportation/airline industry Strong problem-solving skills Strong knowledge in Big Data

About Media.net : Media.net is a leading, global ad tech company that focuses on creating the most transparent and efficient path for advertiser budgets to become publisher revenue. Our proprietary contextual technology is at the forefront of enhancing Programmatic buying, the latest industry standard in ad buying for digital platforms. The Media.net platform powers major global publishers and ad-tech businesses at scale across ad formats like display, video, mobile, native, as well as search. Media.net’s U.S. HQ is based in New York, and the Global HQ is in Dubai. With office locations and consultant partners across the world, Media.net takes pride in the value-add it offers to its 50+ demand and 21K+ publisher partners, in terms of both products and services. Role Overview As a Data Applications Lead, you'll own end-to-end delivery of data modules and platforms that power core business use cases across real-time bidding, reporting, and analytics. You will lead a small team of engineers and work closely with data science, analytics, and platform engineering teams. You’ll need a strong foundation in SQL and databases, coupled with working experience on big data systems. This is a hands-on leadership role for someone who enjoys solving high-scale data challenges while mentoring others and driving execution. What You’ll Be Doing Lead the development and enhancement of data-heavy modules across ad serving, analytics, and reporting systems. Design, optimize, and maintain scalable data pipelines using a mix of SQL , NoSQL and Big Data tools. Work with streaming platforms like Apache Kafka and Flink for real-time data processing. Ensure data reliability, low-latency access, and robustness across internal and external-facing systems. Collaborate with product managers, analysts, and other engineering teams to translate business needs into data solutions. Drive code reviews, mentor junior engineers, and contribute to architectural discussions. Ensure best practices around data governance, schema evolution, and performance tuning. Requirements: 5–8 years of experience working in data engineering or backend roles with a strong data focus. Solid command over SQL and RDBMS concepts – query optimization, indexing, schema design. Hands-on experience with Big Data and NoSQL technologies – Hive, Spark, Presto, HDFS, Kafka, MongoDB, Cassandra, etc. Strong programming skills in Python, Java, or Scala. Experience with large-scale data processing, batch & stream pipelines, and performance tuning. Exposure to distributed systems or cloud-based data platforms (AWS, GCP, or Azure) is a plus. Ability to take ownership and drive outcomes while mentoring and growing a small team. What is in it for you Work on internet-scale data systems – billions of rows processed on a regular basis. Solve high-impact problems at the intersection of advertising, machine learning, and data platforms. Be part of a high-calibre team with ownership and autonomy from day one. A tech-first culture that encourages learning, experimentation, and innovation.

Customers trust the Alation Data Intelligence Platform for self-service analytics, cloud transformation, data governance, and AI-ready data, fostering data-driven innovation at scale. With more than $340M in funding – valued at over $1.7 billion and nearly 600 customers, including 40% of the Fortune 100 — Alation helps organizations realize value from data and AI initiatives. Alation has been recognized in 2024 as one of Inc. Magazine's Best Workplaces for the fifth time, a testament to our commitment to creating an inclusive, innovative, and collaborative environment. Collaboration is at the forefront of everything we do. We strive to bring diverse perspectives together and empower each team member to contribute their unique strengths to live out our values each day. These are: Move the Ball, Build for the Long Term, Listen Like You’re Wrong, and Measure Through Customer Impact. Joining Alation means being part of a fast-paced, high-growth company where every voice matters, and where we’re shaping the future of data intelligence with AI-ready data. Join us on our journey to build a world where data culture thrives and curiosity is celebrated each day! Job Description Customers trust the Alation Data Intelligence Platform for self-service analytics, cloud transformation, data governance, and AI-ready data, fostering data-driven innovation at scale. With more than $340M in funding – valued at over $1.7 billion and nearly 600 customers, including 40% of the Fortune 100 — Alation helps organizations realize value from data and AI initiatives. Alation has been recognized in 2024 as one of Inc. Magazine's Best Workplaces for the fifth time, a testament to our commitment to creating an inclusive, innovative, and collaborative environment. Collaboration is at the forefront of everything we do. We strive to bring diverse perspectives together and empower each team member to contribute their unique strengths to live out our values each day. These are: Move the Ball, Build for the Long Term, Listen Like You’re Wrong, and Measure Through Customer Impact. Joining Alation means being part of a fast-paced, high-growth company where every voice matters, and where we’re shaping the future of data intelligence with AI-ready data. Join us on our journey to build a world where data culture thrives and curiosity is celebrated each day! Join us! We are looking for an experienced Staff Technical Support Engineer to join our advanced support team. You will provide advanced-level technical support, helping our customers integrate with the Alation platform. You will be responsible for troubleshooting and debugging complex issues as well as acting as an escalation point with customers and internal teams. What You'll Be Doing Provide advanced-level technical support to Alation customers, partners, prospects, and other support engineers. Specialize in at least one of the support specialization areas and serve as SME for internal and external customers. Contribute to the Alation Support Knowledge Base by regularly authoring, editing and updating technical documentation such as KB articles, runbooks, community FAQs, product documentation, etc. Facilitate internal and external technical enablement sessions. Build and utilize complex lab setups to replicate and resolve problems. You Should Have CS degree and at least 5 years of experience as a support engineer providing enterprise software application support. Experience troubleshooting Linux and running shell commands. Experience with Relational Databases, such Oracle and Postgres. SQL is a must. Ability to diagnose and debug applications written in Java and/or Python. Experience with Web servers, such as Apache and Nginx. Experience with REST APIs A big plus if you have experience in the following areas: Postgres (DB internals) JDBC drivers Elasticsearch, NoSQL, MongoDB Hadoop Ecosystem (Hive, HBase) Cloud technologies and frameworks such as Kubernetes and Docker Alation, Inc. is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regards to that individual’s race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, age, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. The Company will strive to provide reasonable accommodations to permit qualified applicants who have a need for an accommodation to participate in the hiring process (e.g., accommodations for a job interview) if so requested. This company participates in E-Verify. Click on any of the links below to view or print the full poster. E-Verify and Right to Work. Alation, Inc. is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regards to that individual’s race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, age, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. The Company will strive to provide reasonable accommodations to permit qualified applicants who have a need for an accommodation to participate in the hiring process (e.g., accommodations for a job interview) if so requested. This company participates in E-Verify. Click on any of the links below to view or print the full poster. E-Verify and Right to Work.

Position Summary: This role is accountable for running day-to-day operations of the Data Platform in Azure / AWS Databricks.The role involves designing and implementing data ingestion pipelines from multiple sources using Azure Databricks, ensuring seamless and efficient pipeline executions, and adhering to security, regulatory, and audit control guidelines. Key Responsibilities: ● Design and implement data ingestion pipelines from multiple sources using Azure Databricks. ● Ensure data pipelines run smoothly and efficiently with minimal downtime. ● Develop scalable and reusable frameworks for ingesting large and complex datasets. ● Integrate end-to-end data pipelines, ensuring quality and consistency from source systems to target repositories. ● Work with event-based and streaming technologies to ingest and process data in real-time. ● Collaborate with other project team members to deliver additional components such as API interfaces and search functionalities. ● Evaluate the performance and applicability of various tools against customer requirements and provide recommendations. ● Provide technical advice to the team and assist in issue resolution, leveraging strong Cloud and Databricks knowledge. ● Provide on-call, after-hours, and weekend support as needed to maintain platform stability. ● Fulfil service requests related to the Data Analytics platform efficiently. ● Lead and drive optimisation and continuous improvement initiatives within the team. ● Conduct technical reviews of changes as part of release management, acting as a gatekeeper for production deployments. ● Adhere to data security standards and implement required controls within the platform. ● Lead the design, development, and deployment of advanced data pipelines and analytical workflows on the Databricks Lakehouse platform. ● Collaborate with data scientists, engineers, and business stakeholders to build and scale end-to-end data solutions. ● Own architectural decisions to ensure alignment with data governance, security, and compliance requirements. ● Mentor and guide a team of data engineers, providing technical leadership and supporting career development. ● Implement CI/CD practices for data engineering pipelines using tools like Azure DevOps, GitHub Actions, or Jenkins. Qualifications and Experience: ● Bachelor’s degree in IT, Computer Science, Software Engineering, Business Analytics, or equivalent ● Minimum of 7+ years of experience in the data analytics field. ● Proven experience with Azure/AWS Databricks in building and optimising data pipelines, ● architectures, and datasets. ● Strong expertise in Scala or Python, PySpark, and SQL for data engineering tasks. ● Ability to troubleshoot and optimize complex queries on the Spark platform. ● Knowledge of structured and unstructured data design, modelling, access, and storage techniques. ● Experience designing and deploying data applications on cloud platforms such as Azure or AWS. ● Hands-on experience in performance tuning and optimising code running in Databricks environment ● Strong analytical and problem-solving skills, particularly within Big Data environments. ● Experience with Big Data management tools and technologies including Cloudera, Python, Hive, Scala, Data Warehouse, Data Lake, AWS, Azure. Technical and Professional Skills: Must Have: ● Excellent communication skills with the ability to interact directly with customers. ● Azure/AWS Databricks. ● Python / Scala / Spark / PySpark. ● Strong SQL and RDBMS expertise. ● HIVE / HBase / Impala / Parquet. ● Sqoop, Kafka, Flume. ● Airflow. ● Jenkins or Bamboo. ● Github or Bitbucket. ● Nexus. Good to Have: ● Relevant accredited certifications for Azure, AWS, Cloud Engineering, and/or Databricks. ● Knowledge of Delta Live Tables (DLT).

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY GDS – Data and Analytics D&A – SSIS- Senior We’re looking for Informatica or SSIS Engineers with Cloud Background (AWS, Azure) Primary skills: Has played key roles in multiple large global transformation programs on business process management Experience in database query using SQL Should have experience working on building/integrating data into a data warehouse. Experience in data profiling and reconciliation Informatica PowerCenter/IBM-DataStage/ SSIS development Strong proficiency in SQL/PLSQL Good experience in performance tuning ETL workflows and suggest improvements. Developed expertise in complex data management or Application integration solution and deployment in areas of data migration, data integration, application integration or data quality. Experience in data processing, orchestration, parallelization, transformations and ETL Fundamentals. Leverages on variety of programming languages & data crawling/processing tools to ensure data reliability, quality & efficiency (optional) Experience in Cloud Data-related tool (Microsoft Azure, Amazon S3 or Data lake) Knowledge on Cloud infrastructure and knowledge on Talend cloud is an added advantage Knowledge of data modelling principles. Knowledge in Autosys scheduling Good experience in database technologies. Good knowledge in Unix system Responsibilities: Need to work as a team member to contribute in various technical streams of Data integration projects. Provide product and design level technical best practices Interface and communicate with the onsite coordinators Completion of assigned tasks on time and regular status reporting to the lead Building a quality culture Use an issue-based approach to deliver growth, market and portfolio strategy engagements for corporates Strong communication, presentation and team building skills and experience in producing high quality reports, papers, and presentations. Experience in executing and managing research and analysis of companies and markets, preferably from a commercial due diligence standpoint. Qualification: BE/BTech/MCA (must) with an industry experience of 3 -7 years. Experience in Talend jobs, joblets and customer components. Should have knowledge of error handling and performance tuning in Talend. Experience in big data technologies such as sqoop, Impala, hive, Yarn, Spark etc. Informatica PowerCenter/IBM-DataStage/ SSIS development Strong proficiency in SQL/PLSQL Good experience in performance tuning ETL workflows and suggest improvements. Atleast experience of minimum 3-4 clients for short duration projects ranging between 6-8 + months OR Experience of minimum 2+ clients for duration of projects ranging between 1-2 years or more than that People with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. EY GDS – Data and Analytics (D&A) – Cloud Architect - Manager As part of our EY-GDS D&A (Data and Analytics) team, we help our clients solve complex business challenges with the help of data and technology. We dive deep into data to extract the greatest value and discover opportunities in key business and functions like Banking, Insurance, Manufacturing, Healthcare, Retail, Manufacturing and Auto, Supply Chain, and Finance. The opportunity We’re looking for SeniorManagers (GTM +Cloud/ Big Data Architects) with strong technology and data understanding having proven delivery capability in delivery and pre sales. This is a fantastic opportunity to be part of a leading firm as well as a part of a growing Data and Analytics team. Your Key Responsibilities Have proven experience in driving Analytics GTM/Pre-Sales by collaborating with senior stakeholder/s in the client and partner organization in BCM, WAM, Insurance. Activities will include pipeline building, RFP responses, creating new solutions and offerings, conducting workshops as well as managing in flight projects focused on cloud and big data. Need to work with client in converting business problems/challenges to technical solutions considering security, performance, scalability etc. [ 10- 15 years] Need to understand current & Future state enterprise architecture. Need to contribute in various technical streams during implementation of the project. Provide product and design level technical best practices Interact with senior client technology leaders, understand their business goals, create, architect, propose, develop and deliver technology solutions Define and develop client specific best practices around data management within a Hadoop environment or cloud environment Recommend design alternatives for data ingestion, processing and provisioning layers Design and develop data ingestion programs to process large data sets in Batch mode using HIVE, Pig and Sqoop, Spark Develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies Skills And Attributes For Success Architect in designing highly scalable solutions Azure, AWS and GCP. Strong understanding & familiarity with all Azure/AWS/GCP /Bigdata Ecosystem components Strong understanding of underlying Azure/AWS/GCP Architectural concepts and distributed computing paradigms Hands-on programming experience in Apache Spark using Python/Scala and Spark Streaming Hands on experience with major components like cloud ETLs,Spark, Databricks Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB Knowledge of Spark and Kafka integration with multiple Spark jobs to consume messages from multiple Kafka partitions Solid understanding of ETL methodologies in a multi-tiered stack, integrating with Big Data systems like Cloudera and Databricks. Strong understanding of underlying Hadoop Architectural concepts and distributed computing paradigms Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB Good knowledge in apache Kafka & Apache Flume Experience in Enterprise grade solution implementations. Experience in performance bench marking enterprise applications Experience in Data security [on the move, at rest] Strong UNIX operating system concepts and shell scripting knowledge To qualify for the role, you must have Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution. Excellent communicator (written and verbal formal and informal). Ability to multi-task under pressure and work independently with minimal supervision. Strong verbal and written communication skills. Must be a team player and enjoy working in a cooperative and collaborative team environment. Adaptable to new technologies and standards. Participate in all aspects of Big Data solution delivery life cycle including analysis, design, development, testing, production deployment, and support Responsible for the evaluation of technical risks and map out mitigation strategies Experience in Data security [on the move, at rest] Experience in performance bench marking enterprise applications Working knowledge in any of the cloud platform, AWS or Azure or GCP Excellent business communication, Consulting, Quality process skills Excellent Consulting Skills Excellence in leading Solution Architecture, Design, Build and Execute for leading clients in Banking, Wealth Asset Management, or Insurance domain. Minimum 7 years hand-on experience in one or more of the above areas. Minimum 10 years industry experience Ideally, you’ll also have Strong project management skills Client management skills Solutioning skills What We Look For People with technical experience and enthusiasm to learn new things in this fast-moving environment What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Accellor is looking for a Data Engineer with extensive experience in developing ETL processes using PySpark Notebooks and Microsoft Fabric, and supporting existing legacy SQL Server environments. The ideal candidate will possess a strong background in Spark-based development, demonstrate a high proficiency in SQL, and be comfortable working independently, collaboratively within a team, or leading other developers when required. Design, develop, and maintain ETL pipelines using PySpark Notebooks and Microsoft Fabric. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver efficient data solutions. Migrate and integrate data from legacy SQL Server environments into modern data platforms. Optimize data pipelines and workflows for scalability, efficiency, and reliability. Provide technical leadership and mentorship to junior developers and other team members. Troubleshoot and resolve complex data engineering issues related to performance, data quality, and system scalability. Develop, maintain, and enforce data engineering best practices, coding standards, and documentation. Conduct code reviews and provide constructive feedback to improve team productivity and code quality. Support data-driven decision-making processes by ensuring data integrity, availability, and consistency across different platforms. Requirements Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. Experience with Microsoft Fabric or similar cloud-based data integration platforms is a must. Min 3 years of experience in data engineering, with a strong focus on ETL development using PySpark or other Spark-based tools. Proficiency in SQL with extensive experience in complex queries, performance tuning, and data modeling. Strong knowledge of data warehousing concepts, ETL frameworks , and big data processing. Familiarity with other data processing technologies (e.g., Hadoop, Hive, Kafka) is an advantage. Experience working with both structured and unstructured data sources. Excellent problem-solving skills and the ability to troubleshoot complex data engineering issues. Proven ability to work independently, as part of a team, and in leadership roles. Strong communication skills with the ability to translate complex technical concepts into business terms. Mandatory skills Experience with Data lake, Data warehouse, Delta lake Experience with Azure Data Services, including Azure Data Factory, Azure Synapse, or similar tools. Knowledge of scripting languages (e.g. , Python, Scala) for data manipulation and automation. Familiarity with DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes) is a plus. Benefits Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them. Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global canters. Work-Life Balance: Accellor prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays. Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training, Stress Management program, professional certifications, and technical and soft skill trainings. Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Personal Accident Insurance, Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY GDS – Data and Analytics D&A – SSIS- Senior We’re looking for Informatica or SSIS Engineers with Cloud Background (AWS, Azure) Primary skills: Has played key roles in multiple large global transformation programs on business process management Experience in database query using SQL Should have experience working on building/integrating data into a data warehouse. Experience in data profiling and reconciliation Informatica PowerCenter/IBM-DataStage/ SSIS development Strong proficiency in SQL/PLSQL Good experience in performance tuning ETL workflows and suggest improvements. Developed expertise in complex data management or Application integration solution and deployment in areas of data migration, data integration, application integration or data quality. Experience in data processing, orchestration, parallelization, transformations and ETL Fundamentals. Leverages on variety of programming languages & data crawling/processing tools to ensure data reliability, quality & efficiency (optional) Experience in Cloud Data-related tool (Microsoft Azure, Amazon S3 or Data lake) Knowledge on Cloud infrastructure and knowledge on Talend cloud is an added advantage Knowledge of data modelling principles. Knowledge in Autosys scheduling Good experience in database technologies. Good knowledge in Unix system Responsibilities: Need to work as a team member to contribute in various technical streams of Data integration projects. Provide product and design level technical best practices Interface and communicate with the onsite coordinators Completion of assigned tasks on time and regular status reporting to the lead Building a quality culture Use an issue-based approach to deliver growth, market and portfolio strategy engagements for corporates Strong communication, presentation and team building skills and experience in producing high quality reports, papers, and presentations. Experience in executing and managing research and analysis of companies and markets, preferably from a commercial due diligence standpoint. Qualification: BE/BTech/MCA (must) with an industry experience of 3 -7 years. Experience in Talend jobs, joblets and customer components. Should have knowledge of error handling and performance tuning in Talend. Experience in big data technologies such as sqoop, Impala, hive, Yarn, Spark etc. Informatica PowerCenter/IBM-DataStage/ SSIS development Strong proficiency in SQL/PLSQL Good experience in performance tuning ETL workflows and suggest improvements. Atleast experience of minimum 3-4 clients for short duration projects ranging between 6-8 + months OR Experience of minimum 2+ clients for duration of projects ranging between 1-2 years or more than that People with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? This position is in the US Consumer Services Business Unit – Marketing Analytics team. The USCS team is passionate about making membership an indisputable competitive advantage and helping each other become better leaders every day. The U.S. Consumer Marketing team (USCM) is part of the US Consumer Services Group and is responsible for making membership essential by creating and delivering world class marketing for our differentiated products and services that drives demand and inspires engaged card members across the customer lifecycle. This specific role is part of prospect acquisition analytics and personalization team responsible for driving effective channel strategy and offer analytics for prospect channel. Key responsibilities include: Build effective targeting, offer, and messaging strategy for Consumer Referral Channel Analytics Partner with Channel Marketing, Product, Investment Optimization and Customer teams to implement effective acquisition strategies to drive growth in Referral channel Ensure accurate, efficient channel planning and leverage world class analytics & data science to help Referral channel further its personalization charter Work in a dynamic, fast changing environment, with attention to detail, superb communication skills and success driving results through multi-functional collaboration Evaluate impact on business of different initiatives and analyze data to create insights to advise strategy for further improvement Innovating and evolving processes to drive business results Expand usage of data-backed decisions/data science in strategies and scaling up opportunities for the channel Critical Factors to Success: Analytical Approach & Technical Expertise Strong Business Acumen Minimum Qualifications 2-3 years of relevant analytics experience. Degree in business, economics, statistics, mathematics, engineering or finance combined with a master’s or other secondary professional qualification Strong analytical and problem-solving skills. Strong interpersonal, written and verbal communication skills. Experience in programming languages like Hive, SQL, SAS, Python etc, Proficient in MS Office especially excel and powerpoint We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Product Manager India Full-Time Employee About Huisong: Founded in 1998, Huisong Pharmaceuticals specializes in the R&D and manufacturing of premium-quality natural ingredients for world-leading companies in the pharmaceutical, nutraceutical, food & beverage, and personal care industries. Today, Huisong Pharmaceuticals is a global operation with an extensive and dynamic product portfolio of natural products and ingredients, remaining firm in its values of "Nature, Health, Science", and continues to advance the world of medicine and nutrition for the well-being of humanity. Official Company Website: https://www.huisongpharm.com/ Huisong Pharmaceuticals PINK HIVE CO-WORKING A-660, 2nd Floor opp. Rungta Hospital, Calgary Road, Malviya Nagar, Jaipur 302017 Job Description: Lead and deliver end-to-end NPD project brief, ensuring all products are manufactured on time, all internal and external quality standards are met, and comply with safety protocols. Monitor raw materials and finished goods stock levels, optimizing inventory to meet demand while minimizing waste or overstock. Collaborate with China product development teams to introduce new raw materials and manufacturing techniques aligned with market trends and customer expectations. Continuously evaluate and improve production processes to enhance efficiency, reduce costs, and maintain high product quality. Ensure that all products comply with applicable local and international regulations, including proper labelling, documentation, and safety standards. Work with our sales/marketing/ R&D department on the development of the NPD pipeline. Monitor regulatory compliance of products and ingredients to ensure our products are safe and meet customer expectations. Development of ingredient lists and nutritional panels in line with regulatory best practice. Conduct shelf-life assessments on NPD and existing products and communicate performance. Work with ingredient suppliers to develop innovative solutions through flavors and texture enhancements. Work with the R&D department on product enhancements, management of product variation, and process improvement. Qualifications and Skills: Strong knowledge of functional ingredients and food processing. Solid understanding of food safety regulations, HACCP, HALAL, and quality system. Strong commercial awareness and ability to develop products aligned with customer and market expectations. Strong project management skills, communication, and presentation skills. Passion for food innovation, creativity, and continuous improvement. Education and Experience Requirements: 5+ years of experience in product development within the raw material or ingredients manufacturing industry Bachelor's degrees in Food Technology, Food Science, Nutrition Science, Agriculture, or related disciplines

About Huisong: Founded in 1998, Huisong Pharmaceuticals specializes in the R&D and manufacturing of premium-quality natural ingredients for world-leading companies in the pharmaceutical, nutraceutical, food & beverage, and personal care industries. Today, Huisong Pharmaceuticals is a global operation with an extensive and dynamic product portfolio of natural products and ingredients, remaining firm in its values of "Nature, Health, Science", and continues to advance the world of medicine and nutrition for the well-being of humanity. Official Company Website: https://www.huisongpharm.com/ Huisong Pharmaceuticals PINK HIVE CO-WORKING A-660, 2nd Floor opp. Rungta Hospital, Calgary Road, Malviya Nagar, Jaipur 302017 Responsibilities: Discover and develop new customers and market opportunities in Targeted Market. Achieving sales targets set by the company. Maintain and grow business relationship with existing clients. Maintain and improve Company’s brand image and reputation in the region. Develop new products and services for customers in the region. General Management: Collaborate with the Executive Leadership Team to develop the Company’s short and long-term sustainable. growth strategy in the Targeted Market for the next 5-10 years. Develop and enforce general management policies, guidelines, SOP, and documents. Expand and grow Company’s presence in the Targeted Market by recruiting and onboarding new talent. Provide professional guidance/training for new talent. Assist in developing performance review for new talent. Qualifications and Skills: Proven sales executive experience, meeting or exceeding targets. Previous experience as a sales executive or sales manager. Proven ability to drive the sales process from plan to close. Proven ability to articulate the distinct aspects of products and services. Excellent listening, negotiation and presentation skills. Excellent verbal and written communications skills. Education and Experience Requirements: 5+ years of sales experience in either nutrition supplements, food & beverage, pharmaceuticals, or essential oil & fragrances manufacturing or distribution companies. Bachelor's degrees in business administration, economics, chemistry, biology, biochemistry, pharmaceuticals, food science & technology, plant science, nutrition science, or other related fields.

About Huisong: Founded in 1998, Huisong Pharmaceuticals specializes in the R&D and manufacturing of premium-quality natural ingredients for world-leading companies in the pharmaceutical, nutraceutical, food & beverage, and personal care industries. Today, Huisong Pharmaceuticals is a global operation with an extensive and dynamic product portfolio of natural products and ingredients, remaining firm in its values of "Nature, Health, Science", and continues to advance the world of medicine and nutrition for the well-being of humanity. Official Company Website: https://www.huisongpharm.com/ Huisong Pharmaceuticals PINK HIVE CO-WORKING A-660, 2nd Floor opp. Rungta Hospital, Calgary Road, Malviya Nagar, Jaipur 302017 Job Description: Sourcing quality raw materials in line with operational requirements. Negotiating with suppliers in line with target prices and dates, ensuring on-time and on-cost delivery of quality products. Working closely with the purchasing department from China and Germany on controls of samples and deliveries, and taking the right measures. Provide holistic and honest information regarding the price, quality, quantity, and other information about the materials and suppliers. Negotiate effectively with every supplier to control cost and quality in the best interest of the company, while keeping confidential the company’s key cost, quality, and supplier information, sharing only with the supplier on a need-to-know basis. Discover and cultivate new supplier relationships during lulls to find better quality materials or suppliers. Maintain good relationships with existing suppliers in the region. Visiting suppliers on site for audits and building up current and new business relationships. Monitor the shipment process of purchased goods from start to finish. Inspecting the raw material, and timely transmission of photos and on-site conditions to the purchasing department from China. Timely processing of sourcing requests from China and finding raw materials with the highest quality-to-cost ratio. Familiar with the common entry type and registration requirements for importing into China, ensuring all procured items meet the necessary quality standards and specifications. Maintaining the supplier database, purchase records, and related documentation. Complete all other assignments given by superiors. Qualifications and Skills: Knowledge of international and domestic supplier sourcing techniques and supplier qualifications. Familiarity with basic organic regulations, such as NOP. Excellent negotiation and buying skills, being flexible. Ability to effectively communicate verbally and in writing in English. Highly organized, detail-oriented, and quality of work motivated. Education and Experience Requirements: 3+ years of experience in purchasing (of raw material, ingredients, herbal extract, or agricultural products) Bachelor's degrees in plant physiology, biology, biochemistry, pharmaceuticals, nutrition science, agriculture, or supply chain management.