3305 Hive Jobs

As an Associate Software Developer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience in Big Data Technology like Hadoop, Apache Spark, Hive. Practical experience in Core Java (1.8 preferred) /Python/Scala. Having experience in AWS cloud services including S3, Redshift, EMR etc. Strong expertise in RDBMS and SQL. Good experience in Linux and shell scripting. Experience in Data Pipeline using Apache Airflow Preferred technical and professional experience You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

Developer leads the cloud application development/deployment. A developer responsibility is to lead the execution of a project by working with a senior level resource on assigned development/deployment activities and design, build, and maintain cloud environments focusing on uptime, access, control, and network security using automation and configuration management tools Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong proficiency in Java, Spring Framework, Spring boot, RESTful APIs, excellent understanding of OOP, Design Patterns. Strong knowledge of ORM tools like Hibernate or JPA, Java based Micro-services framework, Hands on experience on Spring boot Microservices, Primary Skills: - Core Java, Spring Boot, Java2/EE, Microservices- Hadoop Ecosystem (HBase, Hive, MapReduce, HDFS, Pig, Sqoop etc)- Spark Good to have Python. Strong knowledge of micro-service logging, monitoring, debugging and testing, In-depth knowledge of relational databases (e.g., MySQL) Experience in container platforms such as Docker and Kubernetes, experience in messaging platforms such as Kafka or IBM MQ, good understanding of Test-Driven-Development Familiar with Ant, Maven or other build automation framework, good knowledge of base UNIX commands, Experience in Concurrent design and multi-threading Preferred technical and professional experience None

Create Solution Outline and Macro Design to describe end to end product implementation in Data Platforms including, System integration, Data ingestion, Data processing, Serving layer, Design Patterns, Platform Architecture Principles for Data platform Contribute to pre-sales, sales support through RfP responses, Solution Architecture, Planning and Estimation Contribute to reusable components / asset / accelerator development to support capability development Participate in Customer presentations as Platform Architects / Subject Matter Experts on Big Data, Azure Cloud and related technologies Participate in customer PoCs to deliver the outcomes Participate in delivery reviews / product reviews, quality assurance and work as design authority Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience in designing of data products providing descriptive, prescriptive, and predictive analytics to end users or other systems Experience in data engineering and architecting data platforms Experience in architecting and implementing Data Platforms Azure Cloud Platform Experience on Azure cloud is mandatory (ADLS Gen 1 / Gen2, Data Factory, Databricks, Synapse Analytics, Azure SQL, Cosmos DB, Event hub, Snowflake), Azure Purview, Microsoft Fabric, Kubernetes, Terraform, Airflow Experience in Big Data stack (Hadoop ecosystem Hive, HBase, Kafka, Spark, Scala PySpark, Python etc.) with Cloudera or Hortonworks Preferred technical and professional experience Experience in architecting complex data platforms on Azure Cloud Platform and On-Prem Experience and exposure to implementation of Data Fabric and Data Mesh concepts and solutions like Microsoft Fabric or Starburst or Denodo or IBM Data Virtualisation or Talend or Tibco Data Fabric Exposure to Data Cataloging and Governance solutions like Collibra, Alation, Watson Knowledge Catalog, dataBricks unity Catalog, Apache Atlas, Snowflake Data Glossary etc

As an Associate Software Developer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience in Big Data Technology like Hadoop, Apache Spark, Hive. Practical experience in Core Java (1.8 preferred) /Python/Scala. Having experience in AWS cloud services including S3, Redshift, EMR etc. Strong expertise in RDBMS and SQL. Good experience in Linux and shell scripting. Experience in Data Pipeline using Apache Airflow Preferred technical and professional experience You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

As a BigData Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets In this role, your responsibilities may include: As a Big Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Big Data Developer, Hadoop, Hive, Spark, PySpark, Strong SQL. Ability to incorporate a variety of statistical and machine learning techniques. Basic understanding of Cloud (AWS,Azure, etc) . Ability to use programming languages like Java, Python, Scala, etc., to build pipelines to extract and transform data from a repository to a data consumer Ability to use Extract, Transform, and Load (ETL) tools and/or data integration, or federation tools to prepare and transform data as needed. Ability to use leading edge tools such as Linux, SQL, Python, Spark, Hadoop and Java Preferred technical and professional experience Basic understanding or experience with predictive/prescriptive modeling skills You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions

Developer leads the cloud application development/deployment. A developer responsibility is to lead the execution of a project by working with a senior level resource on assigned development/deployment activities and design, build, and maintain cloud environments focusing on uptime, access, control, and network security using automation and configuration management tools Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong proficiency in Java, Spring Framework, Spring boot, RESTful APIs, excellent understanding of OOP, Design Patterns. Strong knowledge of ORM tools like Hibernate or JPA, Java based Micro-services framework, Hands on experience on Spring boot Microservices Strong knowledge of micro-service logging, monitoring, debugging and testing, In-depth knowledge of relational databases (e.g., MySQL) Experience in container platforms such as Docker and Kubernetes, experience in messaging platforms such as Kafka or IBM MQ, Good understanding of Test-Driven-Development Familiar with Ant, Maven or other build automation framework, good knowledge of base UNIX commands Preferred technical and professional experience Experience in Concurrent design and multi-threading Primary Skills: - Core Java, Spring Boot, Java2/EE, Microservices - Hadoop Ecosystem (HBase, Hive, MapReduce, HDFS, Pig, Sqoop etc) - Spark Good to have Python

to be added Stay up to date on everything Blackbaud, follow us on Linkedin, X, Instagram, Facebook and YouTube Blackbaud is proud to be an equal opportunity employer and is committed to maintaining an inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.

PhonePe is seeking passionate BI Engineers with 1-3 years of experience, ideally inQlik Sense, to drive data availability and insights at scale. If you're driven by dataand constantly seek better ways, join our innovative team! What would you get to do in this role Work with large-scale datasets and solve real-world data modeling challenges to ensure scalability, flexibility, and efficiency in reporting and analytics. Develop interactive Qlik dashboards for various stakeholders to support data-driven decision-making. Help build and optimize data models that support robust reporting and analytics capabilities, while ensuring seamless integration with the organization’s data architecture. Collaborate with stakeholders to understand data requirements and ensure the right data is provided at the right time. Use modern open-source tools and technologies in the data processing stack, with opportunities to experiment and implement automation to improve data workflows. Contribute to the design and development of scalable data warehousing pipelines to process and aggregate raw data into actionable insights. Learn and grow in a dynamic environment, gaining expertise in BI and data visualization best practices. What do you need to have to apply for this position 1-3 years of BI experience in relevant roles, preferably in a product-based firm. Proficient with Qlik Sense development, dashboard design and performance optimization. Proficient in creating and managing Qlik Sense reports, charts, and visualizations. Data warehousing, modeling & data flow understanding is desired. Strong knowledge in SQL - Hive experience will be preferred. Translate complex business requirements into interactive dashboards and reports. Good in collaboration and execution rigour. PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles) Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy Working at PhonePe is a rewarding experience! Great people, a work environment that thrives on creativity, the opportunity to take on roles beyond a defined job description are just some of the reasons you should work with us. Read more about PhonePe on our blog. Life at PhonePe PhonePe in the news

Responsibility Diagnosing, troubleshooting and fixing production software issues Developing and owning monitoring solutions for production and non-production environments and applications Develop smaller complexity features / enhancements in existing stable system components Adapt installer, shell scripts and perl scripts and aggressively automate manual tasks through scripting. Provide feedback from customer users to the team. Maintain on-going record of problem analysis and resolution activity in an on-call tracking system. Desired Skills Good exposure to MySQL and writing SQL queries. Should be able to write and understand complex joins. Automation scriptingknowledge of scripting language ExPython, perl, shell script is required. Proven success in fast paced production support environment. Programming experience in any language (C++ / Java / RubyOnRails will be a plus). Good in problem solving and analytical skills. Demonstrated ability to communicate effectively in writing, ideally with a successful track record of responding to/resolving customer issues through written communication Excellent written and oral communications skills. Prior experience in e-commerce or web services domain will be a plus. Ability to effectively work with cross functional team. Possess ability to understand business problems and provide solutions/informations related to the business requirements. Exposure to Hadoop, Hive queries will be added advantage. Experience2+ Year PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles) Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy Working at PhonePe is a rewarding experience! Great people, a work environment that thrives on creativity, the opportunity to take on roles beyond a defined job description are just some of the reasons you should work with us. Read more about PhonePe on our blog. Life at PhonePe PhonePe in the news

Novo Nordisk Global Business Services ( GBS) India Department - Global Data & Artificial lntelligence Are you passionate about building scalable data pipelines and optimising data workflowsDo you want to work at the forefront of data engineering, collaborating with cross-functional teams to drive innovationIf so, we are looking for a talented Data Engineer to join our Global Data & AI team at Novo Nordisk. Read on and apply today for a life-changing career! The Position As a Senior Data Engineer, you will play a key role in designing, developing, and main-taining data pipelines and integration solutions to support analytics, Artificial Intelligence workflows, and business intelligence. It includes: Design, implement, and maintain scalable data pipelines and integration solutions aligned with the overall data architecture and strategy. Implement data transformation workflows using modern ETL/ELT approaches while establishing best practices for data engineering, including testing methodologies and documentation. Optimize data workflows by harmonizing and securely transferring data across systems, while collaborating with stakeholders to deliver high-performance solutions for analytics and Artificial Intelligence. Monitoring and maintaining data systems to ensure their reliability. Support data governance by ensuring data quality and consistency, while contributing to architectural decisions shaping the data platform's future. Mentoring junior engineers and fostering a culture of engineering excellence. Qualifications Bachelor’s or master’s degree in computer science, Software Development, Engineering. Possess over 10 years of overall professional experience, including more than 4 years of specialized expertise in data engineering. Experience in developing production-grade data pipelines using Python, Data-bricks and Azure cloud, with a strong foundation in software engineering principles. Experience in the clinical data domain, with knowledge of standards such as CDISC SDTM and ADaM (Good to have). Experience working in a regulated industry (Good to have). About the department You will be part of the Global Data & AI team. Our department is globally distributed and has for mission to harness the power of Data and Artificial Intelligence, integrating it seamlessly into the fabric of Novo Nordisk's operations. We serve as the vital link, weaving together the realms of Data and Artificial Intelligence throughout the whole organi-zation, empowering Novo Nordisk to realize its strategic ambitions through our pivotal initiatives. The atmosphere is fast-paced and dynamic, with a strong focus on collaboration and innovation. We work closely with various business domains to create actionable insights and drive commercial excellence.

The Manager, Software Development Engineering leads a team of technical experts in successfully executing technology projects and solutions that align with the strategy and have broad business impact. The Manager, Software Development Engineering will work closely with development teams to identify and understand key features and their underlying functionality while also partnering closely with Product Management and UX Design. They may exercise influence and govern overall end-to-end software development life cycle related activities including management of support and maintenance releases, minor functional releases, and major projects. The Manager, Software Development Engineering will lead & provide technical guidance for process improvement programs while leveraging engineering best practices. In this people leadership role, Managers will recruit, train, motivate, coach, grow and develop Software Development Engineer team members at a variety of levels through their technical expertise and providing continuous feedback to ensure employee expectations, customer needs and product demands are met. About the Role: Lead and manage a team of engineers, providing mentorship and fostering a collaborative environment. Design, implement, and maintain scalable data pipelines and systems to support business analytics and data science initiatives. Collaborate with cross-functional teams to understand data requirements and ensure data solutions align with business goals. Ensure data quality, integrity, and security across all data processes and systems. Drive the adoption of best practices in data engineering, including coding standards, testing, and automation. Evaluate and integrate new technologies and tools to enhance data processing and analytics capabilities. Prepare and present reports on engineering activities, metrics, and project progress to stakeholders. About You: Proficiency in programming languages such as Python, Java, or Scala. Data Engineering with API & any programming language. Strong understanding of APIs and possess forward-looking knowledge of AI/ML tools or models and need to have some knowledge on software architecture. Experience with cloud platforms (e.g., AWS,Google Cloud) and big data technologies (e.g., Hadoop, Spark). Experience with Rest/Odata API's Strong problem-solving skills and the ability to work in a fast-paced environment. Excellent communication and interpersonal skills. Experience with data warehousing solutions such as BigQuery or snowflakes Familiarity with data visualization tools and techniques. Understanding of machine learning concepts and frameworks. #LI-AD2 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

Want to be part of the Data & Analytics organization, whose strategic goal is to create a world-class Data & Analytics company by building, embedding, and maturing a data-driven culture across Thomson Reuters. About The Role We are looking for a highly motivated individual with strong organizational and technical skills for the position of Lead Data Engineer/ Data Engineering Manager (Snowflake). You will play a critical role working on cutting edge of Data Engineering and analytics, leveraging predictive models, machine learning and generative AI to drive business insights and facilitating informed decision-making and help Thomson Reuters rapidly scale data-driven initiatives.Effectively communicate across various levels, including Executives, and functions within the global organization.Demonstrate strong leadership skills with ability to drive projects/tasks to delivering valueEngage with stakeholders, business analysts and project team to understand the data requirements.Design analytical frameworks to provide insights into a business problem.Explore and visualize multiple data sets to understand data available and prepare data for problem solving.Design database models (if a data mart or operational data store is required to aggregate data for modeling). About You You're a fit for the Lead Data Engineer/ Data Engineering Manager (Snowflake), if your background includes:QualificationsB-Tech/M-Tech/MCA or equivalentExperience7-9 years of corporate experienceLocationBangalore, IndiaHands-on experience in developing data models for large scale data warehouse/data Lake Snowflake, BWMap the data journey from operational system sources through any transformations in transit to itsdelivery into enterprise repositories (Warehouse, Data Lake, Master Data, etc.)Enabling on the overall master and reference data strategy, including the procedures to ensure the consistency and quality of Finance reference data.Experience across ETL, SQL and other emerging data technologies with experience in integrations of a cloud-based analytics environmentBuild and refine end-to-end data workflows to offer actionable insightsFair understanding of Data Strategy, Data Governance ProcessKnowledge in BI analytics and visualization toolsPower BI, Tableau #LI-NR1 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

About the Role In this opportunity, as Senior Data Engineer, you will: Develop and maintain data solutions using resources such as dbt, Alteryx, and Python. Design and optimize data pipelines, ensuring efficient data flow and processing. Work extensively with databases, SQL, and various data formats including JSON, XML, and CSV. Tune and optimize queries to enhance performance and reliability. Develop high-quality code in SQL, dbt, and Python, adhering to best practices. Understand and implement data automation and API integrations. Leverage AI capabilities to enhance data engineering practices. Understand integration points related to upstream and downstream requirements. Proactively manage tasks and work towards completion against tight deadlines. Analyze existing processes and offer suggestions for improvement. About You Youre a fit for the role of Senior Data Engineer if your background includes: Strong interest and knowledge in data engineering principles and methods. 6+ years of experience developing data solutions or pipelines. 6+ years of hands-on experience with databases and SQL. 2+ years of experience programming in an additional language. 2+ years of experience in query tuning and optimization. Experience working with SQL, JSON, XML, and CSV content. Understanding of data automation and API integration. Familiarity with AI capabilities and their application in data engineering. Ability to adhere to best practices for developing programmatic solutions. Strong problem-solving skills and ability to work independently. #LI-HG1 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half abillion Indians and bring them to the mainstream economy with the help of technology. About the role : Evangelize and demonstrate the value and impact of analytics for informed business decision-making by developing and deploying analytical solutions and providing data-driven insights to business stakeholders to understand and solve various business nuances. Responsibilities : 1. The role involves working closely with Product and Business stakeholders to empower data-driven decision-making and generate insights that will help grow the key metrics1. 2. Writing SQL/HIVE queries for data mining 3. Performing deep data analysis on MS Excel and sharing regular actionable insights 4. Responsible for performing data driven analytics to generate business insights 5. Automating the regular reports/MIS using tools like HIVE, Google Data Studio and coordinating with different teams 6. Strongly follow-up with concerned teams to make sure that our business & financial metrics are met 7. Look at data from various cuts / cohorts to suggest insights - Analysis based on multiple cohorts - Transaction, GMV, Revenue, Gross Margin, users etc. for both offline & online payments Mandatory Technical Skills needed - 1. Distinctive problem solving and analysis skills, combined with impeccable business judgment. 2. Proficient in SQL/HIVE/Data Mining & Business Analytics - Proficient in Microsoft Excel. 3. Derive business insights from data with a focus on driving business level metrics. Eligibility Criteria : 1. Minimum 2 years of experience as Data Analyst / Business Analyst. 2. Ability to interact and convince business stakeholders. 3. Hands on with SQL (sub-query and complex query), Excel / Google Sheets, and data visualization tools (Looker studio, Power BI). 4. Ability to combine structured & unstructured data. 5. Worked on large datasets of the order of 5 Million 6. Experimentative mind-set with attention to detail. Compensation : If you are the right fit, we believe in creating wealth for you With enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India's largest digital lending story is brewing here. It’s your opportunity to be a part of the story!

: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the team: SAP Support team is facilitate to existing ERP support and new implement processes for all the Paytm entities. About the role: 1. Interacting with users on a day-to-day basis for a timely closing of the tickets. 2. Assisting users in Period end activities. 3. Preparation of functional specifications and interacting with Abapers to develop. 4. Attending and Conducting the Weekly Meetings with the SAP and Core team members. 5. Proactively discuss critical issues with other consultants 6. Engage with various Business & Technology Teams within Paytm to identify common bottlenecks esp. on Technology front. 7. Track Program/Project performance, specifically to analyze the successful completion of short- and long-term goals. 8. Enable and encourage the use of common services to increase the speed of development and execution. 9. Working on Projects of SAP sub-modules of FICOGeneral Ledger (FI-GL) , Accounts Payable (FI-AP). Accounts Receivable (FI-AR), Asset Accounting (FI-AA). 10. Integration of FI-MM & FI-SD Module 11. Resolving the issues within the time limit specified in SLAs. Expectations/ : - Minimum 8 years of experience in SAP sub Modules of FICO - Program manages initiatives that are driven centrally for Technology improvements - Aware of Building the Functional Specification and Testing process. - Experience in at least one full cycle implementation project, Experience in the process design, configuration, support, and troubleshooting of S/4HANA across multiple industries. - Awareness of business function of the GRDC, SAC, SD & MM modules and development lifecycle for ABAP & Fiori developments with RICEFs. - Aware of Building the Functional Specification and Testing process. -High level of drive, initiative and self-motivation - Ability to take internal and external stakeholders along. EducationCA, MBA in finance, BTech is preffered OR Any Graduate. Why join us: Because you get an opportunity to make a difference and have a great time doing that. You are challenged and encouraged here to do stuff that is meaningful for you and for those we serve. We are successful, and our successes are rooted in our people's collective energy and unwavering focus on the customer, and that's how it will always be. Compensation: If you are the right fit, we believe in creating wealth for you with enviable 500 mn+ registered users, 21 mn+ merchants, and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here. It’s your opportunity to be a part of the story!

Work Mode: Hybrid Interview Mode: Virtual (2 Rounds) Key Skills & Responsibilities Strong hands-on experience with Snowflake database design, coding, and documentation. Expertise in performance tuning for both Oracle and Snowflake. Experience as an Apps DBA, capable of coordinating with application teams. Proficiency in using OEM, Tuning Advisor, and analyzing AWR reports. Strong SQL skills with the ability to guide application teams on improvements. Efficient management of compute and storage in Snowflake architecture. Execute administrative tasks, handle multiple Snowflake accounts, and apply best practices. Implement data governance via column-level security, dynamic masking, and RBAC. Utilize Time Travel, Cloning, replication, and recovery methods. Manage DML/DDL operations, concurrency models, and security policies. Enable secure data sharing internally and externally. Skills: documentation,apps dba,replication,dml/ddl operations,performance tunning,compute management,rbac,security policies,coding,recovery methods,dynamic masking,cloning,oem,storage management,performance tuning,secure data sharing,time travel,tuning advisor,snowflake database design,snowflake,column-level security,data governance,concurrency models,column-level security, dynamic masking, and rbac,oracle,awr reports analysis,sql

Role 1: Snowflake Developer (Coding, Documentation) Locations : Multiple location (Bangalore , Hyderabad , Chennai , kolkata , Mumbai , Pune , Gurugram) Work Mode: Hybrid Interview Mode: Virtual (2 Rounds) Budget: 18L(Max) Key Skills & Responsibilities Strong hands-on experience with Snowflake database design, coding, and documentation. Expertise in performance tuning for both Oracle and Snowflake. Experience as an Apps DBA, capable of coordinating with application teams. Proficiency in using OEM, Tuning Advisor, and analyzing AWR reports. Strong SQL skills with the ability to guide application teams on improvements. Efficient management of compute and storage in Snowflake architecture. Execute administrative tasks, handle multiple Snowflake accounts, and apply best practices. Implement data governance via column-level security, dynamic masking, and RBAC. Utilize Time Travel, Cloning, replication, and recovery methods. Manage DML/DDL operations, concurrency models, and security policies. Enable secure data sharing internally and externally. Skills: documentation,apps dba,replication,dml/ddl operations,performance tunning,compute management,rbac,security policies,coding,recovery methods,dynamic masking,cloning,oem,storage management,performance tuning,secure data sharing,time travel,tuning advisor,snowflake database design,snowflake,column-level security,data governance,concurrency models,column-level security, dynamic masking, and rbac,oracle,awr reports analysis,sql

Date 13 Jun 2025 Location: Bangalore, IN Company Alstom At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. Could you be the full-time EDU Manager-RAMS-Data Analytics in Bangalore were looking for Your future role Take on a new challenge and apply your analytical and project management expertise in a new cutting-edge field. Youll work alongside innovative, driven, and collaborative teammates. You'll lead a multidisciplinary team of data scientists, machine learning engineers, and big data specialists to deliver a wide variety of projects. Day-to-day, youll work closely with teams across the business (including Reliability and Safety domains), develop project plans, drive deliverables, and much more. Youll specifically take care of leading resources located in multiple locations towards a common deliverable, but also communicate and influence audiences of various levels and diverse backgrounds. Well look to you for: Managing multiple projects concurrently, prioritizing and planning to meet roadmap goals and objectives Leading without formal authority and working both independently and in team environments Strong communication and problem-solving skills, with the ability to listen to customer needs and translate into actionable solutions Assisting in the definition of project scope and objectives, involving all relevant stakeholders and ensuring technical feasibility Measuring project performance using appropriate tools and techniques Creating and maintaining comprehensive project documentation All about you We value passion and attitude over experience. Thats why we dont expect you to have every single skill. Instead, weve listed some that we think will help you succeed and grow in this role: Engineering or masters degree in computer science, Data Science, Mathematics or similar field, or equivalent work experience Experience in data project management and working with customers Minimum 12+ years of experience Knowledge of Railway, Signalling, or Traffic fields Familiarity with Data Science modeling techniques Basic software skills and knowledge, including at least one coding language and software release management A Project Management Professional (PMP) or Agile project management certification (desirable) Knowledge about software product design and requirement management (desirable) Knowledge of Agile Methodology and related implementation (desirable) Fluent in English; French is a plus Things youll enjoy Join us on a life-long transformative journey the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. Youll also: Enjoy stability, challenges and a long-term career free from boring daily routines Work with new security standards for rail signalling Collaborate with transverse teams and helpful colleagues Contribute to innovative projects Utilise our flexible working environment Steer your career in whatever direction you choose across functions and countries Benefit from our investment in your development, through award-winning learning Progress towards leadership and advanced technical roles Benefit from a fair and dynamic reward package that recognises your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension) You dont need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, youll be proud. If youre up for the challenge, wed love to hear from you! Important to note As a global business, were an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. Were committed to creating an inclusive workplace for everyone.

Date 11 Feb 2025 Location: Bangalore, KA, IN Company Alstom Leading societies to a low carbon future, Alstom develops and markets mobility solutions that provide the sustainable foundations for the future of transportation. Our product portfolio ranges from high-speed trains, metros, monorail, and trams to integrated systems, customised services, infrastructure, signalling and digital mobility solutions. Joining us means joining a caring, responsible, and innovative company where more than 70,000 people lead the way to greener and smarter mobility, worldwide Qualifications & Skills Process Manufacturing Engineering experience of 12+Years. Technical knowledge of Manufacturing Engineering, preparing manufacturing work instructions, line balancing and process routing. Experience in working on DELMIA 16x and above, for Bill of Materials, Routings, Work instructions Familiar with ENOVIA & CATIA V5/V6. Process FMEA, QRQC. Key Responsibilities: Interface with key stakeholders from CDS / TDS sites. Understand the Sites WoW (Way Of Working), Methodologies and Processes. Review all Technical Specifications & STDs document. Create / manage PLM templates and 3PL / Part library within PLM. Creation of Manufacturing BOM on 3D Experience tool ( In Delmia environment). Map product manufacturing process on 3D Experience tool ( In Delmia environment). Creating routing and work instructions on 3D Experience tool ( In Delmia environment). Knowledge on Time analysis (MTM, MEK, UAS) and Technical drawings. Restructure / Re-create Mfg. drawings with all required details and update title blocks as required. Ensure the final output ( 3D CAD, 2D Dwgs, Engineering Data and Documents) are as per specifications. Be responsible for Product Structure in 3DX Generate / Validate 2D and 3D in compliance with QCD commitments, Mtier rules and processes. Verify consistency of digital mock-up vs. legacy. Engineering Documents and Deliverables attached in the Product Structure. Product Baseline and configuration. Deliver weekly progress report to CDS / TDS and secure E-BOM validation at the end of reconstruction. Alstom is the leading company in the mobility sector, solving the most interesting challenges for tomorrows mobility. Thats why we value inquisitive and innovative people who are passionate about working together to reinvent mobility, making it smarter and more sustainable. Day after day, we are building an agile, inclusive and responsible culture, where a diverse group of people are offered opportunities to learn, grow and advance in their careers, with options across functions and geographic locations. Are you ready to join a truly international community of great people on a challenging journey with a tangible impact and purpose Equal opportunity statement: Alstom is an equal opportunity employer committed to creating an inclusive working environment where all our employees are encouraged to reach their full potential, and individual differences are valued and respected. All qualified applicants are considered for employment without regard to race, colour, religion, gender, sexual orientation, gender identity, age, national origin, disability status, or any other characteristic protected by local law.

Develop and maintain mobile applications using Flutter (iOS and Android). Proven Flutter development experience. Flutter Developer with [2-3] years of experience in building cross-platform mobile applications. Skills Flutter & Dart Development State Management using Provider REST API Integration with robust error handling and structured response models Routing & Navigation (using Navigator, named routes, and deep linking) Local Storage (SharedPreferences, Hive, or SQLite) Firebase Integration (Auth, Firestore, Cloud Messaging) UI/UX Implementation from Figma or Adobe XD Version Control with Git/GitHub Publishing Apps to Play Store and App Store Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹25,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Supplemental Pay: Overtime pay Performance bonus Yearly bonus Education: Bachelor's (Preferred) Experience: Android Development: 2 years (Preferred) ASP.NET: 2 years (Preferred) Application Deadline: 28/02/2023 Expected Start Date: 30/06/2025

- 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with one or more scripting language (e.g., Python, KornShell) - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience As part of the Last Mile Science & Technology organization, you’ll partner closely with Product Managers, Data Scientists, and Software Engineers to drive improvements in Amazon's Last Mile delivery network. You will leverage data and analytics to generate insights that accelerate the scale, efficiency, and quality of the routes we build for our drivers through our end-to-end last mile planning systems. You will develop complex data engineering solutions using AWS technology stack (S3, Glue, IAM, Redshift, Athena). You should have deep expertise and passion in working with large data sets, building complex data processes, performance tuning, bringing data from disparate data stores and programmatically identifying patterns. You will work with business owners to develop and define key business questions and requirements. You will provide guidance and support for other engineers with industry best practices and direction. Analytical ingenuity and leadership, business acumen, effective communication capabilities, and the ability to work effectively with cross-functional teams in a fast-paced environment are critical skills for this role. Key job responsibilities • Design, implement, and support data warehouse / data lake infrastructure using AWS big data stack, Python, Redshift, Quicksight, Glue/lake formation, EMR/Spark/Scala, Athena etc. • Extract huge volumes of structured and unstructured data from various sources (Relational /Non-relational/No-SQL database) and message streams and construct complex analyses. • Develop and manage ETLs to source data from various systems and create unified data model for analytics and reporting • Perform detailed source-system analysis, source-to-target data analysis, and transformation analysis • Participate in the full development cycle for ETL: design, implementation, validation, documentation, and maintenance. Experience with big data technologies such as: Hadoop, Hive, Spark, EMR Experience with big data processing technology (e.g., Hadoop or ApacheSpark), data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environments Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

About the Role As a Sr. Data Engineer in the Sales Automation Engineering team you should be able to work through the different areas of Data Engineering & Data Architecture including the following: Data Migration - From Hive/other DBs to Salesforce/other DBs and vice versa Data Modeling - Understand existing sources & data models and identify the gaps and building future state architecture Data Pipelines - Building Data Pipelines for several Data Mart/Data Warehouse and Reporting requirements Data Governance - Build the framework for DG & Data Quality Profiling & Reporting What the Candidate Will Need / Bonus Points - What the Candidate Will Do - Demonstrate strong knowledge of and ability to operationalize, leading data technologies and best practices. Collaborate with internal business units and data teams on business requirements, data access, processing/transformation and reporting needs and leverage existing and new tools to provide solutions. Build dimensional data models to support business requirements and reporting needs. Design, build and automate the deployment of data pipelines and applications to support reporting and data requirements. Research and recommend technologies and processes to support rapid scale and future state growth initiatives from the data front. Prioritize business needs, leadership questions, and ad-hoc requests for on-time delivery. Collaborate on architecture and technical design discussions to identify and evaluate high impact process initiatives. Work with the team to implement data governance, access control and identify and reduce security risks. Perform and participate in code reviews, peer inspections and technical design/specifications. Develop performance metrics to establish process success and work cross-functionally to consistently and accurately measure success over time Delivers measurable business process improvements while re-engineering key processes and capabilities and maps to future-state vision Prepare documentations and specifications on detailed design. Be able to work in a globally distributed team in an Agile/Scrum approach. - Basic Qualifications - Bachelor's Degree in computer science or similar technical field of study or equivalent practical experience. 8+ years professional software development experience, including experience in the Data Engineering & Architecture space Interact with product managers, and business stakeholders to understand data needs and help build data infrastructure that scales across the company Very strong SQL skills - know advanced level SQL coding (windows functions, CTEs, dynamic variables, Hierarchical queries, Materialized views etc) Experience with data-driven architecture and systems design knowledge of Hadoop related technologies such as HDFS, Apache Spark, Apache Flink, Hive, and Presto. Good hands on experience with Object Oriented programming languages like Python. Proven experience in large-scale distributed storage and database systems (SQL or NoSQL, e.g. HIVE, MySQL, Cassandra) and data warehousing architecture and data modeling. Working experience in cloud technologies like GCP, AWS, Azure Knowledge of reporting tools like Tableau and/or other BI tools. - Preferred Qualifications - Python libraries (Apache spark, Scala) Working experience in cloud technologies like GCP, AWS, Azure

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 – 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 Location - Hyderabad 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 4-6 years of overall career experience in Performance Analytics or 2-3 years post MBA/Masters experience In Performance Analytics 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.

Full-time Company Description NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. We provide consumer packaged goods manufacturers/fast-moving consumer goods and retailers with accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary NielsenIQ data with other data sources to help clients around the world understand what’s happening now, what’s happening next, and how to best act on this knowledge. We like to be in the middle of the action. That’s why you can find us at work in over 90 countries, covering more than 90% of the world’s population. For more information, visit www.niq.com. Job Description Our NielsenIQ Technology teams are working on our new “Connect” platform, a unified, global, open data ecosystem powered by Microsoft Azure. Our clients around the world rely on NielsenIQ’s data and insights to innovate and grow. As a Software Engineer, you’ll be part of a team of smart, highly skilled technologists who are passionate about learning and prototyping cutting-edge technologies. Right now our platform is based in Scala, Snowflake, Databricks, Python and we continue to adopt the best of breed in cloud-native, low-latency technologies. We value CI/CD in everything that we develop. Our team is co-located and agile, with central technology hubs in Chicago, Toronto and Chennai. Develop new BE functionalities working closely with the FE team. Contribute to the expansion of NRPS scope Qualifications We’re looking for people who have 6+ years of experience required Excellent level of experience with Python An experience in Scala and Databricks is appreciated. Knowledge in Trino and Hive and Oracle would be a plus Excellent English communication skills, with the ability to effectively interface across cross-functional technology teams and the business Minimum B.S. degree in Computer Science, Computer Engineering or related field Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion I'm interested I'm interested Privacy Policy Show more Show less

Ability to design and implement workflows of Linear and Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python Demonstrable competency in Probability and Statistics, ability to use ideas of Data Distributions, Hypothesis Testing and other Statistical Tests. Must have experience in dealing with outliers, denoising data and handling the impact of pandemic like situations. Should be able to perform EDA of raw data & feature engineering wherever applicable Demonstrable competency in Data Visualisation using the Python/R Data Science Stack. Should be able to leverage cloud platforms for training and deploying large scale solutions. Should be able to train and evaluate ML model using various machine learning and deep learning algorithm. Retrain and maintain model accuracy in deployment. Should be able to package & deploy large scale models on on-premise systems using multiple approaches including docker. Should be able to take complete ownership of the assigned project Experience of working in Agile environments Well versed with JIRA or equivalent project tracking tool Knowledge of cloud platforms (AWS, Azure and GCP) Exposure to No SQL databases (MongoDB, Cassandra, Cosmos DB, HBase) Forecasting experience in products like SAP, Oracle, Power BI, Qlik, etc. Proficiency in Excel (Power Pivot, Power Query, Macros, Charts) An experience with large data sets and distributed computing (Hive/Hadoop/Spark) Transfer learning using state of art models in different spaces – vision, NLP and speech. - Integration with external services and Cloud API. Working with data annotation approaches and tools for text, images and videos