Job description About Us At Diligent, you are an agent of positive change. You are joining a team of passionate, smart, creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place. Be a part of a global community on a mission to make a real impact. Learn more at diligent.com . Position Overview At Diligent, analytics isnt just a back-office function, its the engine behind our decisions, our innovation, and our growth. We re looking for a Senior Analytics Engineer to join our global Data & Analytics team and help power that engine. You ll work at the heart of our modern data stack, building scalable pipelines and clean, accessible datasets that enable smarter decisions across every part of the business, from product to finance to marketing and beyond. You ll report to the Senior Manager of Analytics Engineering and work closely with both analysts and business leaders, translating business needs into robust data solutions. Whether youre streamlining ETL flows, integrating AI into workflows, or fine-tuning Snowflake performance, your work will directly impact how we operate and grow. Key Responsibilities Design, develop, and maintain scalable data pipelines and infrastructure in Snowflake, using dbt for transformation and version control. Collaborate with data analysts and stakeholders to create clear, trusted datasets and views for business use in Tableau and other tools. Proactively improve existing ETL workflows and data models to enhance performance, reliability, and scalability. Embed AI technologies into data workflows, unlocking smarter, faster data processing and analytics. Troubleshoot and resolve data issues efficiently, ensuring high-quality, reliable output. Partner with BI teams to support deployment of dashboards and data visualizations that drive decision-making across the org. Contribute to a best-in-class enterprise data architecture, supporting departments including sales, finance, customer success, product, and HR. Required Experience/Skills 6+ years of hands-on experience as a Data Engineer, building and supporting complex data systems. Strong SQL skills and practical experience with large-scale databases. 3+ years working with Snowflake and dbt (or similar ETL tools like Alteryx). Proficiency in Python for data transformation and scripting. Experience integrating or leading AI/data automation initiatives. Familiarity with business systems like Salesforce, NetSuite, Google Analytics, and Oracle HCM. Strong background in data visualization tools (e.g., Tableau, Power BI). Comfortable working with stakeholders to understand needs and deliver impactful datasets. Detail-oriented with excellent documentation habits and problem-solving skills. Bachelors degree in Computer Science, Engineering, or a related field preferred. What Diligent Offers You Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few We have teams all over the world . We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney. Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding. Diligent created the modern governance movement. Our world-changing idea is to empower leaders with the technology, insights and connections they need to drive greater impact and accountability - to lead with purpose. Our employees are passionate, smart, and creative people who n

Job description Career Category Finance Job Description About the Role : Amgen is seeking a dedicated and skilled Finance Manager to lead our FIT Reporting + Analytics (FITRA) team in India. As the sole FITRA team manager on the ground in Amgen India, you will play a key role in ensuring the successful delivery of essential financial reporting and analytics deliverables while contributing to strategic corporate initiatives. Primary Responsibilities : Manage daily reporting refresh operations, including resolving outages, user security issues, and data security challenges. Conduct weekly quality control checks on dashboards to ensure data integrity and proper functionality. Develop Tableau dashboards, including creating new ones and enhancing/fixing existing dashboards to meet the needs of our 1, 000+ strong user base and senior leaders. Collaborate with the US-based FITRA team to explore and potentially transition from Tableau to Power BI. Support as needed data, reporting, and technology projects aligned with strategic corporate goals. Team Management : Supervise a team of two staff members (one associate and one senior associate). Ensure timely and quality-controlled delivery of work. Collaboration : Partner with US FITRA colleagues and FIT Data + Analytics (FITDA) colleagues to achieve shared objectives. Report directly to the hiring senior manager based in Thousand Oaks, California. Required Skills and Qualifications : Advanced proficiency in Tableau development and Power BI development. Development experience with cloud storage and ETL tools such as Databricks and Prophecy. Working knowledge of Python and SQL. Solid understanding of finance concepts, financial statements and financial data. Effective reporting design sensibility, including an acumen for the different ways to tell a story or present insights in reporting. Skill in managing large and complex datasets. Strong people management and project management skills. Clear, concise verbal and written business communication. Additional Preferred Experience : Familiarity with Oracle Hyperion, Anaplan, SAP S/4 Hana, Workday and JIRA. Ability to work collaboratively with teams and stakeholders outside of FIT, including cross-functionally Experience training both a team you manage and customers who use your reporting/work product Education/ Prior Employment Qualifications: Masters degree & 5 years of finance or analytics development experience Bachelors degree and 8 years of finance or analytics development experience Diploma and 10 to 12 years of finance or analytics development experience . Role: Treasury Operations Manager Industry Type: Miscellaneous Department: Finance & Accounting Employment Type: Full Time, Permanent Role Category: Treasury Education UG: Any Graduate, Diploma in Mechanical PG: Any Postgraduate Key Skills Business communicationFinancial statementsTeam managementSAPFinancial reportingHyperionManager Quality ControlOracleAnalyticsSQL

Job description Technical Manager, Data Engineering As a Data Engineering Sr. Manager, you will execute on new Data Engineering products and features in collaboration with Data Science, and Business teams. Scope: This role focuses on managing, supporting delivery and strategic initiatives such as data ingestion, integration, transformation, reporting and analytics. Broadly, it will work with every functional area of data engineering, data reporting, data science teams & multiple Business partners. Essential Job Functions : The incumbent must be able to perform all of the following duties and responsibilities w ith or without a reasonable accommodation. Lead the data strategy, and own the vision and roadmap of data products to enable decision making and self-service for business and analytics teams Solid experience in emerging and traditional data stack components such as: batch and real time data ingestion, ETL, ELT, orchestration tools, on-prem and cloud DW, Python, structured, semi and unstructured databases. Collaborate closely with Data Engineering and Product team to execute on the set roadmap of data ingestion, integration, reporting and data transformation. Work cross-functionally with enterprise-wide stakeholders including (but not limited to) Analytics, Data Science, FP&A, Accounting, merchandising, pricing teams. Build a continuous monitoring process and tools to track the data management, data quality, and execute cleaning activities. Track the overall data transformation initiative and provide feedback or suggestions from a risk management perspective. Design, provide training and mentor/coach other team members. Work with stakeholders to ensure that data related business requirements for protecting sensitive data are clearly defined, communicated, and well understood and considered as part of operational prioritization and planning. Ensure the safe storage and transmission of data in line with privacy and compliance laws, data regulations, and internal company policies. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. An ideal candidate will possess strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills. Supervisory Responsibility Position will manage a team comprising of Data, Integration, QA engineers and Scrum Master. Education and Experience Bachelor s or Advanced degree in Information Systems, Information Management, Engineering, or related field 10+ years of experience in data management, data warehousing and handling data engineering 5+ years of experience in Manager/Lead role managing set of engineers including hiring and performance evaluations. 3+ years managing big data technology stack and restful APIs. Strong knowledge of designing data pipelines and understanding details around orchestration, integration, data transformations. Excellent communication skills, both verbal and written, and the ability to build trust-based relationships with business partners Technical knowledge in BI tools such as MicroStrategy, Looker. Proven record of handling, managing, collaborating and delivering data products on time and meeting quality standards. Competencies Demonstrate Adaptability and Desire to Learn -- Works productively in the face of ambiguity or uncertainty. Demonstrates flexibility and resilience in response to obstacles, constraints, adversity, and mistakes. Constructively and resourcefully adapts to changing needs, conditions, priorities or opportunities. Seeks out opportunities to learn from new discoveries, innovations, ways of looking at things, knowledge, and ideas. Invites and incorporates feedback, without becoming defensive. Perform Analysis -- Integrates information from a variety of sources to arrive at a broader understanding of issues (e.g., company reports plus in-store observations). Defines issues clearly despite incomplete or ambiguous information. Identifies the key issues in complex or ambiguous p

Job description Experian is looking for an experienced senior software Developer with 6+ years of experience in different technologies including Java, Python, Spark, SQL and NoSQL databases, and AWS services.You will report to a Senior Manager Participate in full Agile cycle engagements, including meetings, iterative development, estimations, code reviews and design sessions Work with the service quality engineering team to ensure that only thoroughly tested code makes it to production Own deliverables from design through production operationalization You will be involved in projects using modern technologies as part of a senior software engineering team. You will help design and implementing product features. This is a highly technical role requiring excellent coding skills. Hands-On collaboration as a core member of a software engineering team focused on building event-driven services delivering secure, efficient and robust solutions in timeframe. You will deliver highly available and scalable data streaming application functionality on an AWS cloud-based platform Collaborate as a hands-on team member developing and supporting a significant software project in Java with Spring Framework. Proven proficiency in developing Java applications using frameworks, libraries, and tools including the Spring framework and AWS SDK. cloud technology experience AWS (Fargate, EC2, S3, RDS PostgreSQL, Lambda, API Gateway, Airflow). A proven proficiency in SQL and NoSQL Experience with Continuous Integration/Continuous Delivery (CI/CD) process and practices (CodeCommit, CodeDeploy, CodePipeline / Harness / Jenkins / Github Actions, CLI, BitBucket/Git). Experience monitoring technologies including Splunk, Datadog, and Cloudwatch. Familiarity creating and using Docker/Kubernetes applications. About Experian Experience and Skills 6+ years of software development experience building and testing applications following secure coding practices. Programming Languages: Experience in Java, Scala, Python Big Data Technologies: Spark, Scala AWS Services: Exposure to EMR, Apache Airflow, Lambda, Glue, ECS Support existing production applications. Additional Information Our uniqueness is that we truly celebrate yours. Experians culture and people are important differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experians strong people first approach is award winning; Great Place To Work in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why. Experian Careers - Creating a better tomorrow together Benefits Experian care for employees work life balance, health, safety and wellbeing. In support of this endeavor, we offer best-in-class family well-being benefits, enhanced medical benefits and paid time off. Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here Role: Search Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills CodingPostgresqlAgileHealthcareSDKApacheMonitoringAutomotiveSQLPython

Job description Who we are About the role: Samsara Technologies India Private Limited is seeking a Data Scientist to advance our data-driven efforts in sales, marketing, and customer success. As part of the Data Science and AI team in Revenue Operations, this role focuses on designing and delivering predictive models, refining AI-based scripts to validate, augment, and test the accuracy of business critical data, and establishing the quality measurement, lineage, and input pipelines of that data. You ll collaborate closely with stakeholders in BizTech, Marketing, Sales, and Operations to unlock insights, automate processes, and enhance the operational efficiency of the sales organization. This hybrid position requires 3 days per week in our Bangalore office and 2 days working remotely. This position requires working hours in IST. Relocation assistance will not be provided for this role. You should apply if: You want to impact the industries that run our world: Your efforts will result in real-world impact helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely. You have an innate curiosity about how businesses work: One day you ll meet with someone in waste management and the next you may be learning about the inner workings of a food distribution center. Our top sales team members seek to learn the ins and outs of the businesses they support in order to make a larger impact. You build genuine relationships with your customers: The industries we serve have relied on pen-and-paper solutions for years and haven t been met with the type of technology we offer. Our customers value earned trust and human relationships built over time. You want to be with the best: Samsara s high-performance culture means you ll be surrounded by the best and challenged to go farther than you have before. You are a team player: At Samsara, sales is a team sport. We help each other out by sharing best practices and focusing on winning as a team. In this role, you will: Estimate revenue opportunity models & conduct impact analysis as part of the annual strategic planning cycle Leverage LLMs and other AI tools to systematically validate account level data - and provide dynamic quality measurement scores Generate models to drive data accuracy and triangulate from multiple inputs to establish sources of truth Establish data pipelines from internal data sources to generate baseline data programs Contribute to the development of predictive models and analytics, such as sales performance dashboards and pipeline forecasting tools, to improve operational efficiency. Champion, role model, and embed Samsara s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices. Minimum requirements for the role: M.S., or Bachelors in Statistics, Computer Science, Math, Machine Learning, Economics or other related quantitative fields. 4+ years of relevant data science or advanced analytics work experience and 4+ years of experience building advanced analytical models/analysis to inform revenue strategy. Advanced knowledge of revenue operations processes and systems. Expertise in Tableau and/or similar platforms; expertise in coding languages and tools like Python, R and SQL - hands on coding experience is needed for this role. Strong problem-solving, critical thinking, and communication abilities. Ability to manage multiple projects at the same time in a fast-paced business environment An ideal candidate also has: Experience working with cutting edge LLM tools, web scraping, third-party data providers, or AI-driven automation. Experience analyzing B2B marketing strategies, channels and lifecycle identifying areas of opportunity and optimization. Familiarity with CRM tools and cloud-based data pipelines. ETL Experience: Proficiency in Extract, Transform, Load (ETL) tools and processes for building and managing data pipelines. Comfort working in an exploratory environment, testing and iterating on ne

Job description Join Airo Digital Labs and build your career with a leader in emerging digital technologies such as robotic process automation, conversational AI, machine learning, the internet of things, voice-based technologies, and cloud enablement. At Airo, we offer you competitive benefits and compensation package along with the opportunity to learn on the job, develop knowledge of the process, and grow your career. What s more, you will have fun as you solve some of the most complex business problems. Your Job Profile as a DevOps Engineer Azure, Linux & Scripting As a DevOps Engineer, you will be responsible for building and setting up new development tools and infrastructure utilizing knowledge in continuous integration, delivery, and deployment (CI/CD), Cloud technologies, Container Orchestration and Security. You will build and test end-to-end CI/CD pipelines, ensuring that systems are safe against security threats. Your typical day will involve working on developing and implementing CI/CD pipelines, collaborating with cross-functional teams, and ensuring the security and efficiency of the development process. Duties and Tasks of Your Particular Role Project Role Description: Responsible for building and setting up new development tools and infrastructure utilizing knowledge in continuous integration, delivery, and deployment (CI/CD), Cloud technologies, Container Orchestration and Security. Build and test end-to-end CI/CD pipelines, ensuring that systems are safe against security threats. Setting up CI/CD Pipeline for .net with azure dev-ops project Azure DevOps, Monitoring & Tools Lead Support for CI/CI pipelines and their integrations, support of application builds and deployments Education Bachelor s degree in computer science, Engineering, Mathematics or a related field or equivalent professional experience Location Remote You must have Experience scripting in modern program languages (C#, JavaScript, Python, Shell Scripting etc.) Familiarize with following azure services VM, Storage account, Key vault, Service Bus, Application insight, App services, Application gateway, APIM, AKS, ACR. Working experience with Jenkins, Azure DevOps, Linux OS and scripting. Years of Experience 5+ Years Cultural Fit Self-governed: You don t just understand your responsibility you understand how your work creates an impact and how important it is. Driven: You are self-driven, hard-working and take pride in your work. Collaborative: You see yourself as an essential part of a team and where your contribution is equally as important as the other team members. Creative: You are creative and can think out of the box. Why You Will Love Working at Airo Excellent working environment Interesting and challenging assignments The chance to further develop your skills Role: DevOps Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: DevOps Education UG: Any Graduate PG: Any Postgraduate Key Skills Process automationComputer sciencecontinuous integrationorchestrationLinuxdevopsMachine learningShell scriptingJavascriptPython

Job description About the Role: Take your software engineering career to the next level as a Senior Product Software Engineer. You will play a key role in designing, developing, and troubleshooting software programs. Your technical skills and innovative mindset will contribute to the continuous improvement of our products, making a significant impact on user experience and satisfaction. Responsibilities: Take the lead in designing, developing, and maintaining complex software applications to meet project requirements. Collaborate with cross-functional teams to define design specifications and details, taking into account diverse perspectives. Regularly communicate project updates, progress, and challenges to stakeholders and team members. Prepare detailed technical specifications and requirements documents to guide the development process. Identify bottlenecks and optimize software programs to improve overall performance and efficiency. Lead the design of innovative and user-friendly software applications that align with customer needs and industry standards. Create comprehensive testing routines and procedures to ensure the reliability and accuracy of software applications. Utilize mathematical principles and statistical approaches to solve intricate problems in scientific or applied fields within software projects. Collaborate with others to troubleshoot and resolve complex information technology issues that may arise during development. Prepare and preprocess data for analysis, ensuring its accuracy and readiness for use in software applications. Offer technical support to end-users, providing assistance for software maintenance, troubleshooting, and usage queries. Skills: Software Engineering: The ability to design, develop, and maintain software systems and applications by applying principles and techniques of computer science, engineering, and mathematical analysis. This includes the capacity to understand user requirements, create and test the software, and resolve any software-related issues. Software Development: The ability to design, write, test, and implement software programs, applications, and systems. This includes understanding various programming languages, software architecture, and software testing methods. It also involves problem-solving capabilities to fix software issues and improve functionality. Programming: The ability to design, write, test, debug, and maintain the instructions, also known as code, that a computer must follow to execute a task. This skill often involves various programming languages such as Python, Java, or C++. Problem Solving: The ability to understand a complex situation or issue and devise a solution by defining the problem, identifying potential strategies, and ultimately choosing and implementing the most effective course of action. Analysis: The ability to examine complex situations or problems, break them down into smaller parts, and understand how these parts work together. Testing: The skill of evaluating a system or process, often in software or product development. It involves the ability to identify problems, measure effectiveness, and ensure quality or functionality. Agile: The ability to swiftly and effectively respond to changes, with an emphasis on continuous improvement and flexibility. In the context of project management, it denotes a methodology that promotes adaptive planning and encourages rapid and flexible responses to changes. Source Code Repository: The ability to effectively use a source code repository, a file archive and web hosting facility where a large amount of source code, for software or for web pages, is kept, either publicly or privately. This skill involves the ability to manage and track changes to code, identify and fix issues, merge code from different branches, and collaborate with other developers. Relational Database: The ability to design, implement, and manipulate a relational database, a type of database that stores and organizes data in a structured way and where data is logically inter-related. This skill often requires profic

Job description Position Overview: As our Senior Engineer (Back End), you'll be responsible for building new features, enhancing the existing ones as well as supporting them in production. You will also be responsible for building reusable libraries or technology platforms that address multiple use cases. You will work towards delivering specific milestones and objectives in a very dynamic environment. Roles and Responsibilities: Work along with development team leads on assigned tasks. Communicate effectively and work with limited guidance from the leads. A Team player and willing to explore new technologies. Able to handle the daily challenges of the fast paced technical environment. Must Have Skills: 7+ years of Software development experience Good Go implementation capabilities. Understanding of different design principles. Good understanding of Linux OS - memory, instruction processing, filesystem, system daemons etc. Fluent with linux command line and shell scripting. Working knowledge of servers (nginx, apache, etc.), proxy-servers, and load balancing. Understanding of service based architecture and microservices. Working knowledge of AV codecs, MpegTS and adaptive streaming like Dash, HLS. Good understanding of computer networking concepts. Working knowledge of relational Databases. Good analytical and debugging skills. Knowledge of git or any other source code management. Good to Have Skills: Working knowledge of Core Java and Python are preferred. Exposure to cloud computing is preferred. Exposure to API or video streaming performance testing is preferred. Preferred experience in Elasticsearch and Kibana (ELK Stack) Proficiency in at least one modern web front-end development framework such as React JS will be a bonus Preferred experience with messaging systems like RabbitMQ Qualification: Bachelors degree in Computer Science Engineering or a related field Role: Software Development - Other Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate, B.Sc in Computers, B.Tech/B.E. in Computers Key Skills Skills highlighted with ‘‘ are preferred keyskills GolangLinuxElastic Search

Job description As a Software Developer you'll participate in many aspects of the software development lifecycle, such as design, code implementation, testing, and support. You will create software that enables your clients' hybrid-cloud and AI journeys. Your primary responsibilities includeComprehensive Feature Development and Issue ResolutionWorking on the end to end feature development and solving challenges faced in the implementation. Stakeholder Collaboration and Issue ResolutionCollaborate with key stakeholders, internal and external, to understand the problems, issues with the product and features and solve the issues as per SLAs defined. Continuous Learning and Technology IntegrationBeing eager to learn new technologies and implementing the same in feature development. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Java 8 and above SpringBoot, Rest API and Containerization with Docker. Development experience in Java. Good communication skills. Any cloud exposure AWS/GCP/Azure Preferred technical and professional experience Creative Problem solving skills Good communication skills Role: Site Reliability Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: DevOps Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills dockerjavagcpspring bootaws kubernetesansiblemicroservicesspringgitdevopspaaslinuxjenkinscloud computingrestpythonsoftware testingvmwaremicrosoft azureinfrastructure architecturepuppethybrid cloudsaasprivate cloudiaas

Job description As a Data Engineer at IBM, you'll play a vital role in the development, design of application, provide regular support/guidance to project teams on complex coding, issue resolution and execution. Your primary responsibilities include Lead the design and construction of new solutions using the latest technologies, always looking to add business value and meet user requirements. Strive for continuous improvements by testing the build solution and working under an agile framework. Discover and implement the latest technologies trends to maximize and build creative solutions Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience with Apache Spark (PySpark)In-depth knowledge of Spark’s architecture, core APIs, and PySpark for distributed data processing. Big Data TechnologiesFamiliarity with Hadoop, HDFS, Kafka, and other big data tools. Data Engineering Skills: Strong understanding of ETL pipelines, data modeling, and data warehousing concepts. Strong proficiency in PythonExpertise in Python programming with a focus on data processing and manipulation. Data Processing FrameworksKnowledge of data processing libraries such as Pandas, NumPy. SQL ProficiencyExperience writing optimized SQL queries for large-scale data analysis and transformation. Cloud PlatformsExperience working with cloud platforms like AWS, Azure, or GCP, including using cloud storage systems Preferred technical and professional experience Define, drive, and implement an architecture strategy and standards for end-to-end monitoring. Partner with the rest of the technology teams including application development, enterprise architecture, testing services, network engineering, Good to have detection and prevention tools for Company products and Platform and customer-facing Role: Data Platform Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills pythondata processingpysparkdata modelingspark data analysismicrosoft azuredata warehousingcloud platformsnumpydata engineeringsqlpandasspring bootetl pipelinesjavagcpkafkadata warehousing conceptshadoopbig dataawsetl