Perform and review method validation of Assay, Dissolution, Related compound and Residual solvents etc. for new projects using instruments like HPLC, IC and GC etc. Preparation of method validation/verification protocol (API and finish product) like HPLC, GC, IC, and ICP-MS etc. Check and perform the method transfer protocol/report and methods and resolve the query of Assay, Dissolution, Related compound and Residual solvents etc. To coordination with ARD-Development, QA and QC Ensure timely completion of validation/verification and method transfer as per timeline To be able to perform the Daily calibration all instruments/equipment's as per respective schedule. To be able to perform the periodic calibration, Maintenance of all instruments/equipment's as per respective schedule. To be able to perform the daily temperature monitoring of Freeze and Freezer To be able to maintain and review the qualifications, preventive maintenance and calibration of instruments/equipment’s and their records To be able to review stability chambers data and print outs. M.Sc. / M. Pharm Amneal is an equal opportunity employer. We do not discriminate based on caste, religion, gender, disability, or any other legally protected status. We believe in fostering a workplace that values diversity and inclusion.

About Northern Trust Northern Trust, a Fortune 500 company, is a globally recognized, award-winning financial institution that has been in continuous operation since 1889. Northern Trust is proud to provide innovative financial services and guidance to the world’s most successful individuals, families, and institutions by remaining true to our enduring principles of service, expertise, and integrity. With more than 130 years of financial experience and over 22,000 partners, we serve the world’s most sophisticated clients using leading technology and exceptional service. Location : PUNE & Bangalore - Night Shift Major Duties : Responsible for ensuring timely and accurate processing of transactions within established guidelines. Ensures day to day deliverables are met. Checklists are to be prepared and submitted to the next level on a daily basis. Handles resolution of issue highlights issues to the supervisors/experts Tracks trends within the daily deliverables(SLA/KRA) and work along with supervisor to enhance their processes / procedures knowledge. Responsible for identifying and resolving problems within established guidelines Expected to use some initiative but refer more complex problems to supervisors/experts Works effectively as a team member but also independently Working towards becoming proficient in all areas of the job Running and creating formal reports. Creating and executing function specific reports. Follows the incident/regulatory breach(operational risks) arising from processes reporting procedure with rigor Knowledge : Good oral and written communication skills are required Basic Functional / Industry Knowledge is preferred Analytical and problem-solving skills are required Working knowledge on MS-Excel Experience: A College or University degree in commerce /or 0-1 year of relevant work experience in financial domain. Working With Us As a Northern Trust partner, greater achievements await. You will be part of a flexible and collaborative work culture in an organization where financial strength and stability is an asset that emboldens us to explore new ideas. Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to assisting the communities we serve! Join a workplace with a greater purpose. We’d love to learn more about how your interests and experience could be a fit with one of the world’s most admired and sustainable companies! Build your career with us and apply today. #MadeForGreater Reasonable accommodation Northern Trust is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at MyHRHelp@ntrs.com. We hope you’re excited about the role and the opportunity to work with us. We value an inclusive workplace and understand flexibility means different things to different people. Apply today and talk to us about your flexible working requirements and together we can achieve greater. Show more Show less

Understanding of product development related activities of all injectable dosage forms for regulated market. Exposure to injectable dosage form which includes exposure in development of complex injectable products like suspension-based formulation, liposomal formulations, Polymer based products etc. Experienced in preparation and review of product development report, MFR, stability protocol and other study protocols and SOP etc. Basic understanding of implementation of QbD principles for formulation and development (QTPP/CQA/CPP/CMA, risk assessment and control strategy etc.) Effective co-ordination with different departments like regulatory affairs, manufacturing warehouse, quality assurance, quality control and engineering etc. for execution of scale up and exhibit batches. M.Pharm (Pharmaceutics) Amneal is an equal opportunity employer. We do not discriminate based on caste, religion, gender, disability, or any other legally protected status. We believe in fostering a workplace that values diversity and inclusion.

Linux Administrator job description l We are looking for a Linux Administrator who will be responsible for designing, implementing, and monitoring the infrastructure. Linux Administrator duties and responsibilities l Engineering of systems administration-related solutions for various project and operational needs l Maintain best practices on managing systems and services across all environments l Fault finding, analysis and of logging information for reporting of performance exceptions l Proactively monitoring system performance and capacity planning l Manage, coordinate, and implement software upgrades, patches, hot fixes on servers, workstations, and network hardware l Create and modify scripts or applications to perform tasks l Provide input on ways to improve the stability, security, efficiency, and scalability of the environment l Collaborate with other teams and team members to develop automation strategies and deployment processes Linux Administrator qualifications and requirements l Previous working experience as a Linux Administrator for 1-3 years l Bachelor's degree in Computer Science, Information Systems or similar relevant degree l IN depth knowledge of Linux: RedHat, CentOS, Debian, etc. l Hands on experience with MySQL and/or MariaDB l Familiarity with VMWare and SAN management and concepts l Expert in Shell, Perl, and/or Python scripting l Solid knowledge of protocols such as DNS, HTTP, LDAP, SMTP and SNMP l Additional Linux certifications (RHCT, RHCE and LPIC) will be considered an advantage

A leading Indian manufacturer specializing in injectable and parenteral formulations, offering a wide range of products including ampoules, vials, and lyophilized forms is looking for Quality Control Officer/Executive: Key Responsibilities: Perform HPLC analysis for raw materials, in-process, and finished products following validated methods. Lead method validation and development in accordance with regulatory and ICH guidelines. Execute cleaning method validation to ensure equipment compliance post-manufacturing. Handle project creation tasks related to QC method lifecycle and stability studies. Ensure secure and regular data backup from laboratory instruments and software systems. Conduct Audit Trail Reviews to ensure data integrity and regulatory compliance (21 CFR Part 11). Maintain detailed documentation including protocols, results, and reports as per GLP and cGMP standards. Job Type: Full-time Pay: ₹240,000.00 - ₹500,000.00 per year Benefits: Provident Fund Schedule: Day shift Application Question(s): Experience in Injectables? Ready to relocate to Ankleshwar, Gujarat? Work Location: In person

Job description :- Instrumental Analysis: Perform routine and stability analysis of raw materials, intermediates, and finished products using HPLC, UV-Vis Spectrophotometer, FTIR , etc. Operate and calibrate analytical instruments as per SOPs and regulatory guidelines. Troubleshoot HPLC and other lab equipment in coordination with service engineers when required. Documentation & Compliance: Prepare and maintain analytical reports, test data sheets, protocols, and logs as per GDP (Good Documentation Practices). Ensure all QC activities comply with cGMP, GLP, and other regulatory guidelines . Assist in investigation and documentation of OOS, OOT, and deviations . Sample Handling & Testing: Receive and analyze raw material, packaging material, in-process samples, and finished goods as per approved specifications. Maintain proper sample disposal records. SOP & Record Management: Review and update Standard Operating Procedures (SOPs), specifications, and analytical methods. Maintain laboratory notebooks, logbooks, equipment usage logs, and calibration records accurately. Equipment Handling & Calibration: Operate and maintain lab instruments including HPLC, Dissolution Test Apparatus, pH meter, Analytical Balance, etc. Conduct periodic calibration and qualification of instruments. Audit Readiness: Prepare and support internal and external audits (e.g., USFDA, WHO, MHRA). Maintain complete and audit-ready documentation at all times. Key Skills & Competencies: Hands-on experience in HPLC analysis and troubleshooting . Strong understanding of analytical chemistry, GMP, GLP , and ICH guidelines . Attention to detail, data integrity, and documentation accuracy. Good communication and team coordination skills. Proficiency in MS Office and LIMS (preferred). Qualifications: B.Pharm / M.Pharm / M.Sc / B.Sc (Chemistry or related field) Minimum 2–5 years of experience in QC in a regulated pharmaceutical environment . Additional Requirements: Willingness to work in shifts (if applicable). Sound knowledge of safety protocols and laboratory hygiene . Good analytical and problem-solving abilities. Familiarity with regulatory audits and compliance standards . Job Types: Full-time, Permanent Pay: ₹18,000.00 - ₹25,000.00 per month Benefits: Cell phone reimbursement Health insurance Paid sick time Provident Fund Schedule: Day shift Supplemental Pay: Joining bonus Performance bonus Yearly bonus Work Location: In person Expected Start Date: 01/07/2025

Job Summary: The QC Officer is responsible for sampling, analyzing, and validating raw materials, packaging materials, in-process samples, finished products, and stability samples to ensure compliance with GMP, regulatory standards, and company SOPs. Key Responsibilities: Sample Collection & Testing: Perform sampling and testing of raw materials, packing materials, and finished products as per SOPs. Conduct chemical and physical analysis using instruments such as HPLC, UV, FTIR, GC, etc. Documentation & Reporting: Maintain proper documentation (records, logbooks, and reports) in compliance with Good Documentation Practices (GDP). Prepare Certificate of Analysis (CoA) and maintain testing records. Stability Studies: Conduct stability sample analysis as per schedule and regulatory requirements. In-Process Quality Checks: Support production by performing in-process quality control checks. Calibration & Maintenance: Ensure calibration and preventive maintenance of QC instruments. Report any instrument malfunction or deviation immediately. Compliance & Audit Readiness: Follow cGMP and safety protocols strictly. Participate in internal and external audits (USFDA, WHO, EU-GMP, etc.) and support audit documentation. Deviation, OOS & CAPA Handling: Support investigations in case of OOS (Out of Specification), deviations, and implement CAPA. Key Skills & Competencies: Good understanding of cGMP, ICH, and regulatory guidelines. Proficiency in analytical instruments (HPLC, GC, UV, etc.). Strong documentation and data integrity practices. Analytical thinking and attention to detail. Effective communication and teamwork. Job Types: Full-time, Permanent, Internship Pay: ₹15,000.00 - ₹25,000.00 per year Benefits: Cell phone reimbursement Health insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Morning shift Supplemental Pay: Performance bonus Work Location: In person

Customer Success at Innovaccer Our mission is to turn our customers into tech-savvy superheroes, ensuring they achieve success using our platform to meet their organization’s business goals. If you're passionate about helping customers realize the value they seek with technology, then our customer success team is the right place for you. A Day in the Life Implement, develop, automate, and unit-test business processes between various data repositories and systems. Work with the Delivery team to help them integrate the Python code into their workflows and automate the entire data journey. Implement Python libraries to automate the data ingestion lifecycle and improve code reusability Troubleshoot data issues and perform root cause analysis to resolve operational issues proactively Establish best practices around software development in the development team. Developing programs to consume externally hosted open APIs Analyze and improve the performance, scalability, stability, and security of the code. Improve engineering standards, tooling, and processes Participate in the full SDLC process using Agile methodology, including discovery, inception, story and task creation, breakdown and estimation, iterative planning, development and unit testing, and release/deployment. Support production environments with any bugs or execution failures Work with business leaders and customers to understand their pain points and build large-scale solutions for them Managing and coordinating with multiple teams across Innovaccer to deliver solutions What You Need Hands-on experience in Python (OOPs development), SQL(JOINs, Aggregation, Filtration, Subquery, Grouping, Windows Function, Common Table Expressions) and Linux. Working knowledge of Python libraries like Pandas, NumPy, Selenium, ElasticSearch, psycopg2, Snowflake, Boto3, requests, urllib3, sqlalchemy and pymongo. Experience in scaling Python codes for multiple integration touch points and consuming open APIs using Python. Experience in RDBMS & NoSQL databases Experience with Git Good experience in current transformation technologies such as XML, JSON, CSV and SQL Strong knowledge of agile methodologies Basic Analytics Tools (Power BI or Tableau) knowledge An ambitious person who can work in a flexible startup environment with only one thing in mind - getting things done. Excellent written and verbal communication skills. Here’s What We Offer Generous Leave Benefits : Enjoy generous leave benefits of up to 40 days. Parental Leave : Experience one of the industry's best parental leave policies to spend time with your new addition. Sabbatical Leave Policy : Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered. Health Insurance : We offer health benefits and insurance to you and your family for medically related expenses related to illness, disease, or injury. Innovaccer is an equal-opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. Disclaimer : Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details.

About Zeta Zeta is a Next-Gen Banking Tech company that empowers banks and fintechs to launch banking products for the future. It was founded by Bhavin Turakhia and Ramki Gaddipati in 2015. Our flagship processing platform - Zeta Tachyon - is the industry’s first modern, cloud-native, and fully API-enabled stack that brings together issuance, processing, lending, core banking, fraud & risk, and many more capabilities as a single-vendor stack. 20M+ cards have been issued on our platform globally. Zeta is actively working with the largest Banks and Fintechs in multiple global markets transforming customer experience for multi-million card portfolios. Zeta has over 1700+ employees - with over 70% roles in R&D - across locations in the US , EMEA , and Asia . We raised $280 million at a $1.5 billion valuation from Softbank, Mastercard, and other investors in 2021. Learn more @ www.zeta.tech , careers.zeta.tech , Linkedin , Twitter As a Principal Engineer specializing in System Architecture and Distributed Systems, you will play a pivotal role in shaping the technical landscape of our projects. With expertise in languages such as Java, deep knowledge of system internals, and mastery of distributed systems, you will lead the way in architecting scalable, secure, and reliable solutions. Your role extends to troubleshooting complex issues, optimizing performance, and actively mentoring engineering teams. Proven leadership in project delivery, familiarity with cloud technologies, and a keen sense of fraud detection and risk management round out the key attributes we seek. If you're a proactive, independent decision-maker with a passion for cutting-edge technologies, this role offers a dynamic opportunity to drive innovation and operational excellence in a cross-functional environment Responsibilities Microservices Architecture Enhancement: Scalability Enhancement: Elevate microservices architecture to the next level of scalability, ensuring optimal performance in diverse scenarios. Efficiency Optimization: Streamline and enhance the efficiency of microservices, exploring innovative solutions for resource optimization. Observability Implementation: Implement robust observability mechanisms, enabling comprehensive monitoring and diagnostics. Availability Enhancement: Improve the availability of microservices, ensuring reliability even in high-demand scenarios. Multi-Region and Multi-Cloud Deployment: Cross-Region Systems: Build, deploy, and run multi-homed systems designed to operate seamlessly across multiple regions. Cloud Provider Flexibility: Develop systems that function across various cloud providers, enhancing flexibility and minimizing dependencies. Petabyte-Scale Data Processing: Data Processing Systems: Design and open-source data processing, storage, and retrieval systems at the petabyte scale. Cost-Effective Scaling: Ensure scalability while maintaining the lowest cost per gigabyte, responding rapidly even at the 99th percentile. Platform and Library Development: Platform Creation: Develop platforms, reusable libraries, and utilities to enhance the efficiency and consistency of development efforts. Open Source Initiatives: Contribute to open-source projects, sharing innovations and solutions with the broader community. Code Quality and Best Practices: High-Quality Code: Write high-quality, modular, functional, and testable code to drive the reliability of microservices. Coding Standards: Establish and promote the adoption of the best coding practices within the development team. Decision-Making Authority Strategic Decision-Making: Exercise strong decision-making abilities, particularly in matters related to architecture, scalability, and efficiency. Skills Deep Understanding of Java Core Library/Language Constructs: To excel in this role, you should possess a deep understanding of Java. This includes proficiency in core language constructs, object-oriented programming principles, and advanced topics such as concurrency, memory management, and compiler optimizations. Knowledge of System Internals Processor, Memory, Network, and Storage Internals: Understanding the internals of processors, memory, networks, and storage devices is essential for optimizing code performance and resource utilization. This knowledge enables developers to write code that takes advantage of hardware capabilities and avoids potential bottlenecks. Familiarity with I/O Optimized Algorithms I/O Optimized Algorithms: I/O operations are often a bottleneck in performance-critical applications. Familiarity with I/O optimized algorithms, such as asynchronous I/O, non-blocking I/O, and direct memory access (DMA), is essential for minimizing I/O overhead and achieving high throughput. Deep Understanding of Distributed Systems Fault Modeling, Concurrency, Isolation, Consensus: Distributed systems pose unique challenges due to their decentralized nature. A deep understanding of fault modeling, concurrency, isolation, and consensus algorithms is crucial for building reliable and scalable distributed applications. Dynamo, HBase, Messaging Systems, Time, Clocks, Ordering of Events, Rate Control, Load Distribution: Studying distributed systems Design and Problem-Solving Skills: Great design and problem-solving skills with a strong basis for architecting performance, scalability, security, and reliability are essential for building high-quality software systems. Conversant with the Internals of Systems Kafka, Cassandra/Scylla, Redis: Familiarity with the internals of popular distributed systems like Kafka, Cassandra/Scylla, and Redis is essential for troubleshooting issues, optimizing performance, and making informed decisions about their usage. Working Knowledge of Hosting and Network Infrastructure (K8s) Kubernetes (K8s): Kubernetes is a leading container orchestration platform for managing and deploying containerized applications. Working knowledge of K8s is essential for building and deploying cloud-native applications. Familiarity with Low-Level Network Protocols gRPC, HTTP/2, QUIC: Familiarity with low-level network protocols like gRPC, HTTP/2, and QUIC is beneficial for understanding the underlying mechanisms of network communication and optimizing application performance. Troubleshooting and Performance Optimization Memory Issues, GC Tuning, Resource Leaks: Troubleshooting memory issues, GC tuning, and resource leaks is critical for maintaining application stability and performance. Expertise in these areas is essential for ensuring efficient resource utilization and preventing performance degradation. Understanding of Branching, Build, Deployment, CI/CD Methodologies Branching, Build, Deployment, CI/CD: A good understanding of branching strategies, build tools, deployment processes, and continuous integration/continuous delivery (CI/CD) methodologies is crucial for streamlining software development and ensuring rapid delivery of high-quality software. Deep Understanding of OOAD and Algorithms OOAD and Efficient Data Structures: A deep understanding of object-oriented analysis and design (OOAD) principles and efficient data structures is crucial for designing well-structured, maintainable, and performant software systems. Cloud Technologies AWS/Google Cloud, Azure, OpenStack: Having knowledge of cloud technologies like AWS/Google Cloud, Azure, and OpenStack is beneficial for understanding cloud infrastructure and leveraging cloud services effectively. Experience And Qualifications 8+ years of experience in software development and delivery. Experience in Java, Spring, REST, SQL (PostgreSQL or MYSQL) Messaging systems, ELK stack, and microservices is required. Engineering degree in computer science or equivalent. Zeta is an equal opportunity employer. At Zeta, we are committed to equal employment opportunities regardless of job history, disability, gender identity, religion, race, marital/parental status, or another special status. We are proud to be an equitable workplace that welcomes individuals from all walks of life if they fit the roles and responsibilities. Show more Show less

Role & Responsibilities Candidate will be working on Architectural Visualization projects to create photo-realistic renderings for a variety of projects. To generate high level of photorealistic effects, the candidate is expected to work on modeling, lighting, texturing, rendering and compositing elements into the scenes. Candidates will be responsible for all types of architectural visualisations, including both exterior and interior imagery. Qualification Any graduate, should have a good knowledge in architectural 3D, with a portfolio to prove it. Candidate should have a strong understanding of current design and animation trends. Candidate should have knowledge of architectural terminology and products is must. Candidate should be expert in 3Ds Max and Vray ( or similar lighting software). Knowledge of Adobe After Effects, Premiere Pro, Photoshop will be considered as an advantage. Candidate should be able to compose and develop scenes and settings for camera angles, and have excellent eye for detail & creative thinking. Candidate should be well aquanted with Vray Proxies as well as various plugins used for landscaping and plantation etc like iToo Forest Pack, iToo and RailClone,. Candidate should have knowledge of composite render passes generated from 3Ds Max renderings, and do basic colour correction, if required. Candidate should have the ability to efficiently multi-task on various projects and meet individual project deadlines. Benefits Competitive salary package. Comprehensive health insurance coverage Generous life insurance policy to ensure the financial security of employees and their families Exclusive partnership with Sahyadri Hospital, offering discounted health services and wellness programs Ample paid time off, including vacation days, sick leave, and company holidays, to promote work-life balance Gratuity plan to reward loyalty and long-term commitment Robust Provident Fund (PF) and Employee State Insurance Corporation (ESIC) benefits for retirement planning and financial stability Access to a wide range of soft skill training programs and professional development opportunities to foster career growth and advancement Skills: architectural 3d modeling,color correction,photoshop,architectural lighting,architectural interiors,rendering,adobe after effects,premiere pro,vray,adobe color,vray proxies,texturing,itoo railclone,architectural visualization,lighting,compositing,3ds max,itoo forest pack Show more Show less

Senior Structural Designer Location: Abu Road, Rajasthan We are looking for a highly skilled Senior Structural Designer to join our growing team. Key Responsibilities: Design complete structural systems for high-rise buildings Ensure structural safety, stability, and compliance with building codes Hold signing authority for structural drawings and designs Requirements: ✅ B.Tech & M.Tech in Civil/Structural Engineering ✅ Minimum [Insert Years] of experience in designing high-rise structures ✅ Must hold valid signing authority/license (mandatory) ✅ Willing to relocate to Abu Road, Rajasthan Job Type: Full-time Pay: ₹60,000.00 - ₹80,000.00 per month Schedule: Day shift Morning shift Work Location: In person

Remote, India We are excited to learn more about you and your unique background. At CSG, you're more than your resume. We want your diverse perspective and unique background to help us enrich the work we do together. We believe that by channeling the power of all, we make ordinary customer and employee experiences extraordinary. This is your opportunity to join one of our high-performing teams. Channel the power of YOU and begin the journey to becoming a CSGer. We are looking for a Operational Engineer I who will: This position is responsible/accountable for streamlining offerings to CSG’s end customers. They take solutions from development and ensure they are operationally sound prior to rolling into production. Products are evaluated and prepared for installation, configuration, monitoring, diagnostics, and process / procedure to ensure minimal impact as they are released. Production optimization from a personnel perspective is a critical point and leveraging technology to ensure solutions adhere to customers SLA requirements for availability. Diagnose and debug complex system and deployment issues efficiently. Troubleshoot and resolve production and non-production environment issues, ensuring system stability and efficiency. Participate in an on-call rotation for production support, responding proactively and reactively to incidents. Collaborate with software architects and developers to implement effective deployment strategies. Monitor IT infrastructure and system health to identify and resolve potential vulnerabilities, outages, or performance bottlenecks. Adapt to changing priorities, work collaboratively, and contribute as a flexible and proactive team player. Is this opportunity right for you? We are looking for candidates who have: Bachelor’s degree in information technology; Computer Science, Engineering, related field, or equivalent experience. 2-4 Years of experience in managing and maintaining Jenkins, Git, Azure DevOps, and CI/CD pipelines to ensure smooth software delivery. Develop automation solutions using Python, PowerShell, Bash, and Shell scripting to streamline operations. Work with monitoring tools like Grafana and Prometheus to track system performance and proactively address issues. Operate within Linux/Windows environments, ensuring system reliability and performance optimization. Knowledge on Kibana and Confluence is an added advantage. Strong analytical and problem-solving skills, with a passion for automation and continuous improvement Our Guiding Principles Impact Always help and empower others, whether they’re colleagues or customers. When our employees set their minds to something, great things happen. Integrity Do what’s right for our customers and our people while being authentic. We treat everyone with trust and respect—that’s just who we are. Inspiration Be bold in the way you think and passionate about the work you do. Test out innovative ideas without the fear of failure. CSGer Perks & Benefits (Feel free to adjust this by regional benefits!) Work from Home, in-office, or hybrid Employee Belonging Groups Insurance Paid Vacation, Volunteer, and Holiday Time Off And so much more! View More Benefits (https://www.csgi.com/careers/) If you would like to be considered for employment opportunities with CSG and need special assistance due to a disability or accommodation for a disability throughout any aspect of the application process, please call us at +1 (402) 431-7440 or email us at accommodations@csgi.com. CSG provides accommodations for persons with disabilities in employment, including during the hiring process and any interview and/or testing processes. Our Story CSG empowers companies to build unforgettable experiences, making it easier for people and businesses to connect with, use and pay for the services they value most. For over 40 years, CSG's technologies and people have helped some of the world's most recognizable brands solve their toughest business challenges and evolve to meet the demands of today's digital economy. By channeling the power of all, we make ordinary customer and employee experiences extraordinary. Our people [CSGers] are fearlessly committed and connected, high on integrity and low on ego, making us the easiest company to do business with and the best place to work. We power a culture of integrity, innovation, and impact across our locations, representing the most authentic version of ourselves to build a better future together. That's just who we are. Learn more about CSG Inclusion & Impact here Follow us! LinkedIn | Facebook | Twitter Location(s): India Remote Show more Show less

A Finance Manager oversees an organization's financial health, ensuring profitability and stability. They analyze data, prepare reports, manage investments, and advise senior management on financial strategies. This role involves overseeing all aspects of financial operations, from budgeting and cash flow management to ensuring compliance with regulations. Key Responsibilities: Financial Planning and Analysis: Develop budgets, forecast financial performance, and analyze trends to identify areas for improvement. Reporting and Compliance: Prepare financial reports, ensure accurate accounting practices, and comply with relevant regulations. Investment Management: Direct investment activities, assess risk, and manage investment portfolios. Staff Supervision: Supervise and train finance staff, ensuring they meet performance standards and best practices. Cash Flow Management: Manage cash flow, optimize working capital, and ensure timely payments. Cost Management: Identify cost-saving opportunities and implement measures to control expenses. Strategic Planning: Collaborate with other departments to develop and implement financial strategies that align with the company's overall goals. Financial Risk Management: Assess and mitigate financial risks, including credit risk, market risk, and operational risk. Job Type: Full-time Pay: ₹20,000.00 - ₹35,000.00 per month Schedule: Day shift Work Location: In person Speak with the employer +91 9154959422

As a person, you’re a learner – a natural leader – someone who is always taking initiative to make things better and bring others along with you. You live your life in alignment with the highest values of integrity and quality, always ensuring your responsibilities become a long-term success story. In this role, you’ll help us deliver better care for billions of people around the world. It starts with YOU. About Us Huggies®. Kleenex®. Cottonelle®. Scott®. Kotex®. Poise®. Depend®. Kimberly-Clark Professional®. You already know our legendary brands—and so does the rest of the world. In fact, millions of people use Kimberly-Clark products every day. We know these amazing Kimberly-Clark products wouldn’t exist without talented professionals, like you. At Kimberly-Clark, you’ll be part of the best team committed to driving innovation, growth, and impact. We’re founded on more than 150 years of market leadership, and we’re always looking for new and better ways to perform – so there’s your open door of opportunity. It’s all here for you at Kimberly-Clark. Led by Purpose. Driven by You. About You You perform at the highest level possible, and you appreciate a performance culture fueled by authentic caring. You want to be part of a company actively dedicated to sustainability, inclusion, wellbeing, and career development. You love what you do, especially when the work you do makes a difference. At Kimberly-Clark, we’re constantly exploring new ideas on how, when, and where we can best achieve results. In one of our Manufacturing roles, you’ll focus on winning with consumers and the market, while putting safety, mutual respect, and human dignity at the center. To succeed in this role, you will need the following qualifications: Rigorous implementation of systems for Safety, Quality and production, in line with world class manufacturing principles at shift level. Developing technical and operational capabilities of line crew members to deliver benchmark performance. Conducting periodic refresher trainings. Delivery of production volume on time in full, with high standards of safety and quality in the individual shift. Responsible for machine health monitoring, performing preventive/predictive maintenance, drive Kaizens, 5’S, reliability initiatives and actions. Responsible to deliver key operations KPIs of safety, Quality, OEE, Waste and Cost in the shift operation. Adopt safety practices that meet safety codes, policies, and guidelines. Achieve business objectives by establishing and following safe workplace practices consistent with KC. Conduct Safety Audits as per set frequency. To Minimize damage or losses. No safety incidents during regular work activities. Develop myself to full potential through feedback received during Performance Management discussions, appropriate training and education, goal setting, and career development discussions. Expected result will be: 100% completion of Performance Plan.100% completion and implementation of own Individual Development Plan (IDP). Ways to Measure Accomplishment: Completion of effective Performance Plan for the year. Completion and implementation of IDP for the year. Provide Solution to Processes: Provide leadership to improve production and maintain process stability and capabilities. Plan and manage production as per plan. Keep close communications with other departments. Develop a centerline and make it a daily practice for each activity on the machine. Maintain data for settings and analyze the data to provide solutions. The machine will have a stable and consistent run. No unexpected machine breakdown due to process issues to help achieve the mill objectives. Ways to Measure Accomplishment: Daily productivity report shows machine consistency in running without major fluctuation in productivity because of process instability. Trials and Engineering modifications are completed on time and as per budget. Quality Assurance: Adopt practices that meet Quality codes, policies, and guidelines. Achieve business objectives by following practices consistent with KC guidelines – QMS, RQGL. Ensure safe, clean & good quality products are delivered to the consumer. Implement short and long-term action plans to deal with recurring quality issues. Ensure defective products are quarantined and sorted out most effectively. Ensure that Quality Indices are achieved as per the target set by the regional QA team and Management. Ensure all products being made are up to FPS attributes and variables. Quality Management Systems are followed as per KC guidelines. Nullified customer complaint rates. Ways of measurement: No. of customer complaints, Quality Indices results of the mill published by QA team. Internal as well as external Quality system audit scores from KC or external authorities. Defective product disposal report Productivity Improvement: Lead in delay and waste reduction activities. Improve productivity and quality by collecting data on the same and carrying out troubleshooting together with process specialists when they require assistance. Analyses the causes of waste/process / mechanical problems through close communication with the operation support team leader and other engineers, sets up the action plan, and takes action to eliminate the causes. To achieve productivity targets. Ways to Measure Accomplishment: Productivity improvement projects completion and improvement in line productivity. Owner of Center lining Data: Develop and maintain the best setting on the machine control. Discuss with the process engineer the causes and solutions to move the setting to the next level. Monitor, identify, and seek solutions to the issues that are arising out of specified setting. Ensure center lining data records are accurate and kept up to date. Expected result: Issues encountered on specific Center lining sets up is monitored regularly. Solutions to Center lining issues are addressed on time. Center lining setup is continuously improved and moving progressively in accordance with the program. To Be Considered Click the Apply button and complete the online application process. A member of our recruiting team will review your application and follow up if you seem like a great fit for this role. In the meantime, please check out the careers website. And finally, the fine print…. For Kimberly-Clark to grow and prosper, we must be an inclusive organization that applies the diverse experiences and passions of its team members to brands that make life better for people all around the world. We actively seek to build a workforce that reflects the experiences of our consumers. When you bring your original thinking to Kimberly-Clark, you fuel the continued success of our enterprise. We are a committed equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity, age, pregnancy, genetic information, citizenship status, or any other characteristic protected by law. The statements above are intended to describe the general nature and level of work performed by employees assigned to this classification. Statements are not intended to be construed as an exhaustive list of all duties, responsibilities and skills required for this position. Employment is subject to verification of pre-screening tests, which may include drug screening, background check, and DMV check. #LI-Hybrid .

TGT Computer Science Teacher 1 We need a teacher who can teach Computer from class1 to 10 , and can handle IT related work. 2 English fluency should be good. 3 Should have min. 3 yrs. work experience. 4 Should be dedicated towards work,+ve mindset, stability should be there. 5 this is an URGENT Hiring so first come first serve will be there. Job Types: Full-time, Permanent, Fresher, Internship Contract length: 11 months Pay: ₹12,134.75 - ₹26,552.33 per month Benefits: Cell phone reimbursement Food provided Health insurance Internet reimbursement Leave encashment Paid sick time Provident Fund Schedule: Day shift Morning shift Supplemental Pay: Overtime pay Performance bonus Yearly bonus Language: English (Preferred) Work Location: In person Application Deadline: 15/06/2025 Expected Start Date: 16/06/2025

We are inviting interested applicants who are good team players, enthusiastic, service-oriented, and professionally competent to join our dedicated team. REPORTS TO: Chief Operating Officer COORDINATES WITH: Operational Leaders Job Goal The Finance Manager (FM) provides financial leadership as the school’s lead finance business partner with responsibilities covering all aspects of financial management, performance management, budgeting, and reporting. The FM is expected to provide actionable insights and sound financial advice (on working capital, financing or the financial position of the business) to the leadership team by synthesizing internal and external data from the surrounding economic environment. He/She must implement best practices in order to identify and manage financial and business risks to meet the organization's desired goals. The FM oversees the activities of the Accounts Officer to ensure efficient financial administration and compliance with all regulatory requirements. Performance Responsibilities Daily Operations Collaborate and lead Accounts Officer to set annual personal growth goals and monthly work objectives with regular professional feedback and evaluations Develop processes that result in seamless customer experiences (invoicing, contracting, etc) Refine and manage all student contracts and financial aid addendums Oversee and manage daily financial operations, including invoicing, purchasing, and budgeting across the organization Assist internal groups with financial management (PTF, student council, operations, etc.) Monitor cash flow in relation to the school’s budget, and produce monthly management reports for senior management to aid in decision-making Lead the relationships with external auditors, banks, tax advisors, and other financial consultants Manage, negotiate and monitor contracts, leases and relationships with finance related contractors Maintain an accurate asset register in partnership with the operations team Strategy Provide financial analysis and guidance on activities, plans, targets, and business drivers to division heads, and the leadership team, including new campus bid proposals Give input to the business analyst to develop a scorecard measuring the most important metrics of school health Develop strategies for financial planning and growth, identifying opportunities for cost savings and revenue enhancement Evaluate profitability at the division and program levels to leverage opportunities for growth Bi-annually evaluate all policies related to finance and accounting; update as necessary Ensure the financial strategies employed support educational outcomes for students Accept other duties that may be assigned by the administration. Communications and Customer Loyalty Meet everyday stress with emotional stability, objectivity, and optimism Establish a high level of credibility with various constituents including parents, employees, and board members of the school by speaking in a clear, persuasive, and positive manner Effectively supervise Accounts Officer to build positive constituent rapport by ensuring accurate and efficient processing of financial transactions and requests Demonstrate the character qualities of enthusiasm, courtesy, flexibility, integrity, kindness, patience, self-control, perseverance, orderliness, and punctuality Work closely with the COO to maintain and deliver a year-round communications plan focused on the overall health of the school to build stakeholder loyalty Host quarterly personal budgeting and finance discussions, in collaboration with HR, to encourage employee financial health and knowledge Policies, Procedures, and Risk Management Refine and implement financial policies and procedures in alignment with CPE/Edutrust, the Charities Board, regulatory standards, NICS, and ICS goals Collaborate with the Development Team to implement processes for accounting records in compliance with MCCY for fundraising Participate in strategic planning, risk management, and policy development initiatives in collaboration with the school's leadership team Administer and maintain all property, casualty, and liability insurance for the school Qualifications/Skills Bachelor's degree in Finance, Accounting, or a related field Minimum of 5 years of financial management experience, preferably in an educational setting Proficient in financial software systems, Excel, Powerpoint, and Google Sheets / Slides Strong leadership skills with experience managing staff Excellent analytical, problem-solving, and decision-making abilities Strong interpersonal and communication skills, with the ability to present financial information clearly to non-financial colleagues Knowledge of financial regulations and reporting requirements for Singapore Commitment to maintaining strict confidentiality when appropriate Proficiency in spoken and written English An evangelical Christian in agreement with the school’s mission and statement of faith If you are interested in applying, please send a cover letter and resume/CV to jobs@ics.edu.sg. Please note that only shortlisted candidates will be contacted. Show more Show less

S&P Global Ratings The Role : Director, Application Operations The Team : This team is part of the global SRE group that provides Site Reliability Engineering Services for the critical applications used by the analysts for conducting the business. Application Operations team is responsible for the Stability (Uptime), Reliability (Quality & Performance) and Engineering of these applications to improve business outcomes, user experience and efficiencies. The Team operates at the intersection of IT operations and software development, ensuring that our services are not only robust but also agile enough to adapt to the ever-evolving business needs. Impact and Responsibilities : The Impact of this role extends far beyond the immediate team. You will be instrumental in shaping the reliability and performance standards of our critical applications, ensuring they meet the highest benchmarks. By driving advancements in automation and cloud technologies, you will contribute significantly to the organization's strategic goals and toil reduction, enhancing both the user experience and operational efficiency. You will nurture the team members to be the best-in-class by upskilling and cross-skilling. General & Team management Ensure the team balances its focus between daily operational tasks and strategic long-term projects Drive the adoption of new technologies and processes through training and mentoring Lead/Mentor/Guide/Coach and transform a team of Application Operations to SRE’s Create/maintain documentation for systems and processes to ensure continuity and knowledge sharing within the team. Adoption of Gen AI to leverage knowledge repository Collaborate with cross-functional teams to ensure seamless integration and support for new technologies and initiatives Oversee daily operations and ensure the shifts are adequately managed Set the roadmap; derive goals for each team member; review, motivate and support to make them successful Stability Build a SRE practice that improves system stability with Monitoring & AIOps. Avert P1/P2 incidents and minimize business impact Analyze system vulnerabilities, SPOFs and address them proactively to improve stability Refactor monolithic apps and databases to containerized services to improve delivery/scale Work with business users to understand needs, issues, develop root cause analysis and work with the cross functional teams to address them permanently Reliability Monitor system performance and create strategies to improve it Reduce the number of incidents and the time taken to resolve them (MTTR) Develop and implement disaster recovery plans to ensure business continuity Lead DevOps transformation to improve the delivery of value to business, reduction of costs & manual errors, increased velocity of releases and improved config management Engineering Involvement in Architecture and Development design reviews (Shift-left) for new implementation and integration projects to build SRE best practices into the SDLC Continuously look for opportunities to automate tasks, simplify processes, Self-service to reduce the toil Value Stream Alignment: While alignment as horizontal lead is expected to begin with, it’s expected that you also handle the role of a SRE value stream lead going forward. Ensure smooth inter-working with value streams (VS) to meet the objectives & realize value Foster a 2-way knowledge sharing with VS and reduce dependency on SRE Help shepherd VS to improve SRE maturity levels; implement & prioritize best practices like monitoring, post-mortem, toil reduction, retrospectives etc. Application to User Journey orientation and transformation What’s in it for you : In this role, you will have the opportunity to collaborate with a diverse and talented team, working on cutting-edge technology solutions to drive efficiency and innovation within the organization. You will be at the forefront of implementing best practices in site reliability engineering, with a strong emphasis on automation, cloud technologies, and performance optimization. You will interface with the value stream leads to improve the SRE practices and maturity levels within the value streams. What We’re Looking For: Basic Qualifications : Bachelor’s degree in computer science or equivalent is required, or in lieu, a demonstrated equivalence in work experience 15+ years of experience in Information Technology domain including cloud, systems & database administration, networking, performance, and application operations Proven experience in IT Operations and/or Site Reliability Engineering, successful handling of Application Operations in a complex IT setup Manage Multi-cloud (AWS/Azure) environments Engineering and implementing proactive monitoring of applications, infrastructure & databases. Engineering automation to self-heal and mature towards AIOps Manage, innovate, and create processes, software and tools that continuously improve the availability, reliability, scalability, latency and efficiency of platforms Engineer Self-service portals, Scalable platforms and repeatable processes that allow product teams to own the entire life cycle of their products, reducing the SRE dependency Excellent communication skills with experience in managing, coaching, and building highly effective teams. Manage and inspire a team of full stack Site Reliability Engineers across regions and time zones, emphasizing collaboration and efficiency. Establish relationships with business teams & other IT partners. Identifying and measuring KPIs like CSAT/NPS scores, establishing feedback channels which have a direct correlation to UX Cost management through forecasting consumption, budgeting, tagging assets & tracking cost, disposing unused allocations & right sizing, optimizing usage & correlating cost to business value Establish incident & defect review process to help guide and continually improve stability of applications Shapes and leverages advanced conceptual thinking to solve complex and/or completely new or novel situations that have never been dealt with before. Actively pursues innovative solutions that align with the company’s tolerance for risk (business and reputational) Looks at external companies, products and capabilities and how they may accelerate Ratings technology initiatives Preferred qualifications: Experience in application & data architecture, system design, algorithms, data structures, complexity analysis, and software design Ability to architect high availability application and servers on cloud adhering best practices. Ability to perform technical deep-dives into code, networking, systems, databases and storage configuration Experience working in Agile software product development Experience working with stakeholders and collaborating across organizational boundaries. Configuration management, automation of patching, threat and vulnerability management, security monitoring, network security, endpoint security, cloud application and data security Awareness of security frameworks like NIST to address technology, information and resilience risk, information security and risk management Support & transform ITSM process – Incident, Change & Problem management to align with DevOps maturity Show more Show less

📢 We’re Hiring: Lead Backend Developer 📍 Company : YugAlpha Tech Pvt Ltd 🕒 Employment Type : Full-Time 💼 Experience : 5+ Years 🌐 About YugAlpha Tech Pvt Ltd YugAlpha Tech Pvt Ltd is a next-gen IT company specializing in innovative software development, tech training, and internship programs. We empower developers and build real-world digital solutions through collaboration, mentorship, and cutting-edge technology. 💼 Role Overview: Lead Backend Developer We’re looking for a seasoned and visionary Lead Backend Developer to manage the design and development of scalable server-side logic and systems. You’ll lead a team of backend developers, mentor junior staff, and ensure the stability, security, and performance of applications. 🔧 Key Responsibilities Design and implement robust, secure, and scalable backend architectures Lead development using Node.js , Python , PHP , or other backend frameworks Collaborate with frontend developers and DevOps teams for smooth integration Manage and optimize databases (SQL/NoSQL) and APIs Conduct code reviews, enforce best practices, and guide team development Ensure proper version control, testing, documentation, and deployment processes Identify performance bottlenecks and drive backend innovations 📌 Required Skills & Qualifications Bachelor’s or Master’s in Computer Science, IT, or related field 5+ years of experience in backend development Strong expertise in Node.js , Express.js , Python (Django/Flask) , or PHP (Laravel) Proficiency in RESTful APIs , JWT authentication , database design , and ORMs Hands-on experience with cloud platforms (AWS, GCP, Azure) is a plus Solid understanding of microservices, caching, CI/CD pipelines, and performance tuning Excellent leadership, communication, and project management skills 🌟 What We Offer Leadership position with real impact on projects and products A collaborative, forward-thinking work environment Work on large-scale, real-world applications Competitive salary + performance-based incentives Professional development and continuous learning opportunities 📩 How to Apply 📧 Send your updated resume and portfolio links to: 👉 info@yugalpha.tech 👉 hr@yugalpha.tech 📝 Subject Line : Application for Lead Backend Developer 🚀 Join YugAlpha Tech Pvt Ltd and lead the development of powerful, scalable backend systems. Build. Lead. Innovate. Grow with us. 🔗 Follow us on Instagram for updates and hiring alerts : 👉 https://www.instagram.com/yugalpha_tech 🔖 #LeadBackendDeveloper #BackendJobs #NodeDeveloper #PythonBackend #ScalableSystems #TechLeadership #YugAlphaTech #NowHiring #JoinOurTeam #DeveloperJobs Show more Show less

3+ years of experience in software testing and automation. Proficiency in programming languages such as TypeScript, Java, JavaScript, or Python. Experience with test automation tools and frameworks Playwright, Test Complete, Selenium and Appium. Knowledge of Agile methodologies and the software development lifecycle (SDLC). Familiarity with version control systems GITHub and issue tracking tools JIRA. Strong analytical and problem-solving skills. Excellent communication skills and ability to work as part of a team. Key Responsibilities Develop and maintain automated test scripts for web and mobile applications. Collaborate with development teams to understand requirements and design appropriate test strategies. Participate in test planning, test case design, and test execution for new and existing features. Conduct performance and load testing to ensure application scalability and stability. Identify, document, and track defects using test management tools. Provide feedback and recommendations for improving product quality. Integrate automated tests into CI/CD pipelines to facilitate continuous testing. Participate in code reviews, ensuring adherence to best practices for testability and maintainability. Stay current with industry trends and technologies related to software testing and automation. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Objectives and Purpose The Senior Data Engineer ingests, builds, and supports large-scale data architectures that serve multiple downstream systems and business users. This individual supports the Data Engineer Leads and partners with Visualization on data quality and troubleshooting needs. The Senior Data Engineer will: Clean, aggregate, and organize data from disparate sources and transfer it to data warehouses. Support development testing and maintenance of data pipelines and platforms, to enable data quality to be utilized within business dashboards and tools. Create, maintain, and support the data platform and infrastructure that enables the analytics front-end; this includes the testing, maintenance, construction, and development of architectures such as high-volume, large-scale data processing and databases with proper verification and validation processes. Your Key Responsibilities Data Engineering Develop and maintain scalable data pipelines, in line with ETL principles, and build out new integrations, using AWS native technologies, to support continuing increases in data source, volume, and complexity. Define data requirements, gather, and mine data, while validating the efficiency of data tools in the Big Data Environment. Lead the evaluation, implementation and deployment of emerging tools and processes to improve productivity. Implement processes, systems to provide accurate and available data to key stakeholders, downstream systems, & business processes. Mentor and coach staff data engineers on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Support standardization, customization and ad hoc data analysis and develop the mechanisms to ingest, analyze, validate, normalize, and clean data. Write unit/integration/performance test scripts and perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues. Implement processes and systems to drive data reconciliation and monitor data quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes. Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering to improve productivity. Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. Solve complex data problems to deliver insights that help achieve business objectives. Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics. Relationship Building and Collaboration Partner with Business Analytics and Solution Architects to develop technical architectures for strategic enterprise projects and initiatives. Coordinate with Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling. Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value. Collaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivity. Advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Skills And Attributes For Success Technical/Functional Expertise Advanced experience and understanding of data/Big Data, data integration, data modelling, AWS, and cloud technologies. Strong business acumen with knowledge of the Pharmaceutical, Healthcare, or Life Sciences sector is preferred, but not required. Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata. Ability to build and optimize queries (SQL), data sets, 'Big Data' pipelines, and architectures for structured and unstructured data. Experience with or knowledge of Agile Software Development methodologies. Leadership Strategic mindset of thinking above the minor, tactical details and focusing on the long-term, strategic goals of the organization. Advocate of a culture of collaboration and psychological safety. Decision-making and Autonomy Shift from manual decision-making to data-driven, strategic decision-making. Proven track record of applying critical thinking to resolve issues and overcome obstacles. Interaction Proven track record of collaboration and developing strong working relationships with key stakeholders by building trust and being a true business partner. Demonstrated success in collaborating with different IT functions, contractors, and constituents to deliver data solutions that meet standards and security measures. Innovation Passion for re-imagining new solutions, processes, and end-user experience by leveraging digital and disruptive technologies and developing advanced data and analytics solutions. Advocate of a culture of growth mindset, agility, and continuous improvement. Complexity Demonstrates high multicultural sensitivity to lead teams effectively. Ability to coordinate and problem-solve amongst larger teams. To qualify for the role, you must have the following: Essential Skillsets Bachelor’s degree in Engineering, Computer Science, Data Science, or related field 5+ years of experience in software development, data science, data engineering, ETL, and analytics reporting development Experience designing, building, implementing, and maintaining data and system integrations using dimensional data modelling and development and optimization of ETL pipelines Proven track record of designing and implementing complex data solutions Demonstrated understanding and experience using: Data Engineering Programming Languages (i.e., Python) Distributed Data Technologies (e.g., Pyspark) Cloud platform deployment and tools (e.g., Kubernetes) Relational SQL databases DevOps and continuous integration AWS cloud services and technologies (i.e., Lambda, S3, DMS, Step Functions, Event Bridge, Cloud Watch, RDS) Databricks/ETL IICS/DMS GitHub Event Bridge, Tidal Understanding of database architecture and administration Utilizes the principles of continuous integration and delivery to automate the deployment of code changes to elevate environments, fostering enhanced code quality, test coverage, and automation of resilient test cases Processes high proficiency in code programming languages (e.g., SQL, Python, Pyspark, AWS services) to design, maintain, and optimize data architecture/pipelines that fit business goals Strong organizational skills with the ability to manage multiple projects simultaneously and operate as a leading member across globally distributed teams to deliver high-quality services and solutions Excellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners Strong problem solving and troubleshooting skills Ability to work in a fast-paced environment and adapt to changing business priorities Desired Skillsets Masters Degree in Engineering, Computer Science, Data Science, or related field Experience in a global working environment Travel Requirements Access to transportation to attend meetings Ability to fly to meetings regionally and globally EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Objectives and Purpose The Senior Data Engineer ingests, builds, and supports large-scale data architectures that serve multiple downstream systems and business users. This individual supports the Data Engineer Leads and partners with Visualization on data quality and troubleshooting needs. The Senior Data Engineer will: Clean, aggregate, and organize data from disparate sources and transfer it to data warehouses. Support development testing and maintenance of data pipelines and platforms, to enable data quality to be utilized within business dashboards and tools. Create, maintain, and support the data platform and infrastructure that enables the analytics front-end; this includes the testing, maintenance, construction, and development of architectures such as high-volume, large-scale data processing and databases with proper verification and validation processes. Your Key Responsibilities Data Engineering Develop and maintain scalable data pipelines, in line with ETL principles, and build out new integrations, using AWS native technologies, to support continuing increases in data source, volume, and complexity. Define data requirements, gather, and mine data, while validating the efficiency of data tools in the Big Data Environment. Lead the evaluation, implementation and deployment of emerging tools and processes to improve productivity. Implement processes, systems to provide accurate and available data to key stakeholders, downstream systems, & business processes. Mentor and coach staff data engineers on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Support standardization, customization and ad hoc data analysis and develop the mechanisms to ingest, analyze, validate, normalize, and clean data. Write unit/integration/performance test scripts and perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues. Implement processes and systems to drive data reconciliation and monitor data quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes. Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering to improve productivity. Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. Solve complex data problems to deliver insights that help achieve business objectives. Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics. Relationship Building and Collaboration Partner with Business Analytics and Solution Architects to develop technical architectures for strategic enterprise projects and initiatives. Coordinate with Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling. Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value. Collaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivity. Advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Skills And Attributes For Success Technical/Functional Expertise Advanced experience and understanding of data/Big Data, data integration, data modelling, AWS, and cloud technologies. Strong business acumen with knowledge of the Pharmaceutical, Healthcare, or Life Sciences sector is preferred, but not required. Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata. Ability to build and optimize queries (SQL), data sets, 'Big Data' pipelines, and architectures for structured and unstructured data. Experience with or knowledge of Agile Software Development methodologies. Leadership Strategic mindset of thinking above the minor, tactical details and focusing on the long-term, strategic goals of the organization. Advocate of a culture of collaboration and psychological safety. Decision-making and Autonomy Shift from manual decision-making to data-driven, strategic decision-making. Proven track record of applying critical thinking to resolve issues and overcome obstacles. Interaction Proven track record of collaboration and developing strong working relationships with key stakeholders by building trust and being a true business partner. Demonstrated success in collaborating with different IT functions, contractors, and constituents to deliver data solutions that meet standards and security measures. Innovation Passion for re-imagining new solutions, processes, and end-user experience by leveraging digital and disruptive technologies and developing advanced data and analytics solutions. Advocate of a culture of growth mindset, agility, and continuous improvement. Complexity Demonstrates high multicultural sensitivity to lead teams effectively. Ability to coordinate and problem-solve amongst larger teams. To qualify for the role, you must have the following: Essential Skillsets Bachelor’s degree in Engineering, Computer Science, Data Science, or related field 5+ years of experience in software development, data science, data engineering, ETL, and analytics reporting development Experience designing, building, implementing, and maintaining data and system integrations using dimensional data modelling and development and optimization of ETL pipelines Proven track record of designing and implementing complex data solutions Demonstrated understanding and experience using: Data Engineering Programming Languages (i.e., Python) Distributed Data Technologies (e.g., Pyspark) Cloud platform deployment and tools (e.g., Kubernetes) Relational SQL databases DevOps and continuous integration AWS cloud services and technologies (i.e., Lambda, S3, DMS, Step Functions, Event Bridge, Cloud Watch, RDS) Databricks/ETL IICS/DMS GitHub Event Bridge, Tidal Understanding of database architecture and administration Utilizes the principles of continuous integration and delivery to automate the deployment of code changes to elevate environments, fostering enhanced code quality, test coverage, and automation of resilient test cases Processes high proficiency in code programming languages (e.g., SQL, Python, Pyspark, AWS services) to design, maintain, and optimize data architecture/pipelines that fit business goals Strong organizational skills with the ability to manage multiple projects simultaneously and operate as a leading member across globally distributed teams to deliver high-quality services and solutions Excellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners Strong problem solving and troubleshooting skills Ability to work in a fast-paced environment and adapt to changing business priorities Desired Skillsets Masters Degree in Engineering, Computer Science, Data Science, or related field Experience in a global working environment Travel Requirements Access to transportation to attend meetings Ability to fly to meetings regionally and globally EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Objectives and Purpose The Senior Data Engineer ingests, builds, and supports large-scale data architectures that serve multiple downstream systems and business users. This individual supports the Data Engineer Leads and partners with Visualization on data quality and troubleshooting needs. The Senior Data Engineer will: Clean, aggregate, and organize data from disparate sources and transfer it to data warehouses. Support development testing and maintenance of data pipelines and platforms, to enable data quality to be utilized within business dashboards and tools. Create, maintain, and support the data platform and infrastructure that enables the analytics front-end; this includes the testing, maintenance, construction, and development of architectures such as high-volume, large-scale data processing and databases with proper verification and validation processes. Your Key Responsibilities Data Engineering Develop and maintain scalable data pipelines, in line with ETL principles, and build out new integrations, using AWS native technologies, to support continuing increases in data source, volume, and complexity. Define data requirements, gather, and mine data, while validating the efficiency of data tools in the Big Data Environment. Lead the evaluation, implementation and deployment of emerging tools and processes to improve productivity. Implement processes, systems to provide accurate and available data to key stakeholders, downstream systems, & business processes. Mentor and coach staff data engineers on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Support standardization, customization and ad hoc data analysis and develop the mechanisms to ingest, analyze, validate, normalize, and clean data. Write unit/integration/performance test scripts and perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues. Implement processes and systems to drive data reconciliation and monitor data quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes. Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering to improve productivity. Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. Solve complex data problems to deliver insights that help achieve business objectives. Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics. Relationship Building and Collaboration Partner with Business Analytics and Solution Architects to develop technical architectures for strategic enterprise projects and initiatives. Coordinate with Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling. Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value. Collaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivity. Advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Skills And Attributes For Success Technical/Functional Expertise Advanced experience and understanding of data/Big Data, data integration, data modelling, AWS, and cloud technologies. Strong business acumen with knowledge of the Pharmaceutical, Healthcare, or Life Sciences sector is preferred, but not required. Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata. Ability to build and optimize queries (SQL), data sets, 'Big Data' pipelines, and architectures for structured and unstructured data. Experience with or knowledge of Agile Software Development methodologies. Leadership Strategic mindset of thinking above the minor, tactical details and focusing on the long-term, strategic goals of the organization. Advocate of a culture of collaboration and psychological safety. Decision-making and Autonomy Shift from manual decision-making to data-driven, strategic decision-making. Proven track record of applying critical thinking to resolve issues and overcome obstacles. Interaction Proven track record of collaboration and developing strong working relationships with key stakeholders by building trust and being a true business partner. Demonstrated success in collaborating with different IT functions, contractors, and constituents to deliver data solutions that meet standards and security measures. Innovation Passion for re-imagining new solutions, processes, and end-user experience by leveraging digital and disruptive technologies and developing advanced data and analytics solutions. Advocate of a culture of growth mindset, agility, and continuous improvement. Complexity Demonstrates high multicultural sensitivity to lead teams effectively. Ability to coordinate and problem-solve amongst larger teams. To qualify for the role, you must have the following: Essential Skillsets Bachelor’s degree in Engineering, Computer Science, Data Science, or related field 5+ years of experience in software development, data science, data engineering, ETL, and analytics reporting development Experience designing, building, implementing, and maintaining data and system integrations using dimensional data modelling and development and optimization of ETL pipelines Proven track record of designing and implementing complex data solutions Demonstrated understanding and experience using: Data Engineering Programming Languages (i.e., Python) Distributed Data Technologies (e.g., Pyspark) Cloud platform deployment and tools (e.g., Kubernetes) Relational SQL databases DevOps and continuous integration AWS cloud services and technologies (i.e., Lambda, S3, DMS, Step Functions, Event Bridge, Cloud Watch, RDS) Databricks/ETL IICS/DMS GitHub Event Bridge, Tidal Understanding of database architecture and administration Utilizes the principles of continuous integration and delivery to automate the deployment of code changes to elevate environments, fostering enhanced code quality, test coverage, and automation of resilient test cases Processes high proficiency in code programming languages (e.g., SQL, Python, Pyspark, AWS services) to design, maintain, and optimize data architecture/pipelines that fit business goals Strong organizational skills with the ability to manage multiple projects simultaneously and operate as a leading member across globally distributed teams to deliver high-quality services and solutions Excellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners Strong problem solving and troubleshooting skills Ability to work in a fast-paced environment and adapt to changing business priorities Desired Skillsets Masters Degree in Engineering, Computer Science, Data Science, or related field Experience in a global working environment Travel Requirements Access to transportation to attend meetings Ability to fly to meetings regionally and globally EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Objectives and Purpose The Senior Data Engineer ingests, builds, and supports large-scale data architectures that serve multiple downstream systems and business users. This individual supports the Data Engineer Leads and partners with Visualization on data quality and troubleshooting needs. The Senior Data Engineer will: Clean, aggregate, and organize data from disparate sources and transfer it to data warehouses. Support development testing and maintenance of data pipelines and platforms, to enable data quality to be utilized within business dashboards and tools. Create, maintain, and support the data platform and infrastructure that enables the analytics front-end; this includes the testing, maintenance, construction, and development of architectures such as high-volume, large-scale data processing and databases with proper verification and validation processes. Your Key Responsibilities Data Engineering Develop and maintain scalable data pipelines, in line with ETL principles, and build out new integrations, using AWS native technologies, to support continuing increases in data source, volume, and complexity. Define data requirements, gather, and mine data, while validating the efficiency of data tools in the Big Data Environment. Lead the evaluation, implementation and deployment of emerging tools and processes to improve productivity. Implement processes, systems to provide accurate and available data to key stakeholders, downstream systems, & business processes. Mentor and coach staff data engineers on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Support standardization, customization and ad hoc data analysis and develop the mechanisms to ingest, analyze, validate, normalize, and clean data. Write unit/integration/performance test scripts and perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues. Implement processes and systems to drive data reconciliation and monitor data quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes. Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering to improve productivity. Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. Solve complex data problems to deliver insights that help achieve business objectives. Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics. Relationship Building and Collaboration Partner with Business Analytics and Solution Architects to develop technical architectures for strategic enterprise projects and initiatives. Coordinate with Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling. Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value. Collaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivity. Advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Skills And Attributes For Success Technical/Functional Expertise Advanced experience and understanding of data/Big Data, data integration, data modelling, AWS, and cloud technologies. Strong business acumen with knowledge of the Pharmaceutical, Healthcare, or Life Sciences sector is preferred, but not required. Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata. Ability to build and optimize queries (SQL), data sets, 'Big Data' pipelines, and architectures for structured and unstructured data. Experience with or knowledge of Agile Software Development methodologies. Leadership Strategic mindset of thinking above the minor, tactical details and focusing on the long-term, strategic goals of the organization. Advocate of a culture of collaboration and psychological safety. Decision-making and Autonomy Shift from manual decision-making to data-driven, strategic decision-making. Proven track record of applying critical thinking to resolve issues and overcome obstacles. Interaction Proven track record of collaboration and developing strong working relationships with key stakeholders by building trust and being a true business partner. Demonstrated success in collaborating with different IT functions, contractors, and constituents to deliver data solutions that meet standards and security measures. Innovation Passion for re-imagining new solutions, processes, and end-user experience by leveraging digital and disruptive technologies and developing advanced data and analytics solutions. Advocate of a culture of growth mindset, agility, and continuous improvement. Complexity Demonstrates high multicultural sensitivity to lead teams effectively. Ability to coordinate and problem-solve amongst larger teams. To qualify for the role, you must have the following: Essential Skillsets Bachelor’s degree in Engineering, Computer Science, Data Science, or related field 5+ years of experience in software development, data science, data engineering, ETL, and analytics reporting development Experience designing, building, implementing, and maintaining data and system integrations using dimensional data modelling and development and optimization of ETL pipelines Proven track record of designing and implementing complex data solutions Demonstrated understanding and experience using: Data Engineering Programming Languages (i.e., Python) Distributed Data Technologies (e.g., Pyspark) Cloud platform deployment and tools (e.g., Kubernetes) Relational SQL databases DevOps and continuous integration AWS cloud services and technologies (i.e., Lambda, S3, DMS, Step Functions, Event Bridge, Cloud Watch, RDS) Databricks/ETL IICS/DMS GitHub Event Bridge, Tidal Understanding of database architecture and administration Utilizes the principles of continuous integration and delivery to automate the deployment of code changes to elevate environments, fostering enhanced code quality, test coverage, and automation of resilient test cases Processes high proficiency in code programming languages (e.g., SQL, Python, Pyspark, AWS services) to design, maintain, and optimize data architecture/pipelines that fit business goals Strong organizational skills with the ability to manage multiple projects simultaneously and operate as a leading member across globally distributed teams to deliver high-quality services and solutions Excellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners Strong problem solving and troubleshooting skills Ability to work in a fast-paced environment and adapt to changing business priorities Desired Skillsets Masters Degree in Engineering, Computer Science, Data Science, or related field Experience in a global working environment Travel Requirements Access to transportation to attend meetings Ability to fly to meetings regionally and globally EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Objectives and Purpose The Senior Data Engineer ingests, builds, and supports large-scale data architectures that serve multiple downstream systems and business users. This individual supports the Data Engineer Leads and partners with Visualization on data quality and troubleshooting needs. The Senior Data Engineer will: Clean, aggregate, and organize data from disparate sources and transfer it to data warehouses. Support development testing and maintenance of data pipelines and platforms, to enable data quality to be utilized within business dashboards and tools. Create, maintain, and support the data platform and infrastructure that enables the analytics front-end; this includes the testing, maintenance, construction, and development of architectures such as high-volume, large-scale data processing and databases with proper verification and validation processes. Your Key Responsibilities Data Engineering Develop and maintain scalable data pipelines, in line with ETL principles, and build out new integrations, using AWS native technologies, to support continuing increases in data source, volume, and complexity. Define data requirements, gather, and mine data, while validating the efficiency of data tools in the Big Data Environment. Lead the evaluation, implementation and deployment of emerging tools and processes to improve productivity. Implement processes, systems to provide accurate and available data to key stakeholders, downstream systems, & business processes. Mentor and coach staff data engineers on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Support standardization, customization and ad hoc data analysis and develop the mechanisms to ingest, analyze, validate, normalize, and clean data. Write unit/integration/performance test scripts and perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues. Implement processes and systems to drive data reconciliation and monitor data quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes. Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering to improve productivity. Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. Solve complex data problems to deliver insights that help achieve business objectives. Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics. Relationship Building and Collaboration Partner with Business Analytics and Solution Architects to develop technical architectures for strategic enterprise projects and initiatives. Coordinate with Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling. Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value. Collaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivity. Advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Skills And Attributes For Success Technical/Functional Expertise Advanced experience and understanding of data/Big Data, data integration, data modelling, AWS, and cloud technologies. Strong business acumen with knowledge of the Pharmaceutical, Healthcare, or Life Sciences sector is preferred, but not required. Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata. Ability to build and optimize queries (SQL), data sets, 'Big Data' pipelines, and architectures for structured and unstructured data. Experience with or knowledge of Agile Software Development methodologies. Leadership Strategic mindset of thinking above the minor, tactical details and focusing on the long-term, strategic goals of the organization. Advocate of a culture of collaboration and psychological safety. Decision-making and Autonomy Shift from manual decision-making to data-driven, strategic decision-making. Proven track record of applying critical thinking to resolve issues and overcome obstacles. Interaction Proven track record of collaboration and developing strong working relationships with key stakeholders by building trust and being a true business partner. Demonstrated success in collaborating with different IT functions, contractors, and constituents to deliver data solutions that meet standards and security measures. Innovation Passion for re-imagining new solutions, processes, and end-user experience by leveraging digital and disruptive technologies and developing advanced data and analytics solutions. Advocate of a culture of growth mindset, agility, and continuous improvement. Complexity Demonstrates high multicultural sensitivity to lead teams effectively. Ability to coordinate and problem-solve amongst larger teams. To qualify for the role, you must have the following: Essential Skillsets Bachelor’s degree in Engineering, Computer Science, Data Science, or related field 5+ years of experience in software development, data science, data engineering, ETL, and analytics reporting development Experience designing, building, implementing, and maintaining data and system integrations using dimensional data modelling and development and optimization of ETL pipelines Proven track record of designing and implementing complex data solutions Demonstrated understanding and experience using: Data Engineering Programming Languages (i.e., Python) Distributed Data Technologies (e.g., Pyspark) Cloud platform deployment and tools (e.g., Kubernetes) Relational SQL databases DevOps and continuous integration AWS cloud services and technologies (i.e., Lambda, S3, DMS, Step Functions, Event Bridge, Cloud Watch, RDS) Databricks/ETL IICS/DMS GitHub Event Bridge, Tidal Understanding of database architecture and administration Utilizes the principles of continuous integration and delivery to automate the deployment of code changes to elevate environments, fostering enhanced code quality, test coverage, and automation of resilient test cases Processes high proficiency in code programming languages (e.g., SQL, Python, Pyspark, AWS services) to design, maintain, and optimize data architecture/pipelines that fit business goals Strong organizational skills with the ability to manage multiple projects simultaneously and operate as a leading member across globally distributed teams to deliver high-quality services and solutions Excellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners Strong problem solving and troubleshooting skills Ability to work in a fast-paced environment and adapt to changing business priorities Desired Skillsets Masters Degree in Engineering, Computer Science, Data Science, or related field Experience in a global working environment Travel Requirements Access to transportation to attend meetings Ability to fly to meetings regionally and globally EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Role Description Job Overview: We are looking for a skilled and detail-oriented Storage Engineer with hands-on experience in managing and supporting enterprise storage infrastructures. The ideal candidate should have expertise in Pure Storage, NetApp, Cisco MDS, Fibre Channel (FC), and NAS protocols like SMB and NFS. You will be responsible for ensuring the stability, performance, and security of storage environments across cloud and on-premises infrastructure. Key Responsibilities Storage Infrastructure Management Design, implement, and manage Fibre Channel (FC) and NAS (SMB/NFS) storage environments. Perform provisioning, configuration, and maintenance of enterprise storage systems. Ensure high availability and disaster recovery readiness using best practices. Pure Storage Administration Manage Pure Storage environments including Active/Active clusters. Implement and support Active DR and asynchronous replication strategies. Configure protection groups and manage snapshots for data protection. Cisco MDS Operations Conduct zoning operations, including enhanced zoning for optimized performance and segmentation. Perform firmware upgrades and hardware maintenance across Cisco MDS switches. NetApp Storage Support Administer NetApp ONTAP 9 and NetApp Cloud Volumes ONTAP (CVO). Configure CIFS/SMB shares for secure and efficient file access. Monitor performance and manage capacity to meet organizational storage needs. Required Qualifications 6+ years of experience in enterprise storage engineering roles. Strong knowledge and hands-on experience with: Pure Storage (Active DR, replication, clusters) NetApp ONTAP 9 & CVO Cisco MDS (zoning, enhanced zoning, firmware upgrades) Fibre Channel, SMB, and NFS protocols Proven ability to troubleshoot and resolve complex storage issues. Excellent communication and documentation skills. Preferred Qualifications Industry certifications such as: Pure Storage Certified Implementation Engineer Cisco Certified Network Professional (CCNP) NetApp Certified Data Administrator (NCDA) Experience in regulated industries such as financial services or healthcare. Skills Storage,Netapp Storage,Pure Storage Show more Show less