4894 Data Processing Jobs - Page 20

You are a skilled Perl developer sought to be a part of our team and enhance our software applications. Your expertise in Perl programming, adherence to software development best practices, and ability to collaborate within a team environment are pivotal. Your responsibilities will include developing and maintaining Perl applications and scripts for diverse purposes such as web development, system administration, data processing, and automation. Collaborating with cross-functional teams to gather requirements, design solutions, and implement features according to specifications. You should write well-structured, efficient, and maintainable Perl code, debug existing codebase, and integrate Perl applications with databases, APIs, and external systems. Additionally, you are expected to conduct code reviews, write unit and integration tests, maintain documentation, and stay updated with the latest Perl trends and technologies. To qualify for this position, you should hold a Bachelor's degree in Computer Science, Engineering, or a related field, or possess equivalent experience. A proven track record as a Perl developer with 2-4 years of professional experience is required. Your skills should encompass a strong proficiency in Perl programming, familiarity with Perl frameworks like Dancer, Mojolicious, or Catalyst, database concepts, SQL, version control systems, Unix/Linux environments, and agile methodologies. Excellent problem-solving abilities and communication skills, paired with attention to detail and coding standards, are essential. Adaptability to new technologies, experience with other programming languages, and contributions to open-source projects or active involvement in the Perl community are advantageous. We offer a competitive salary and benefits package, opportunities for professional growth and development, and a full-time, temporary job type. Benefits include health insurance, cell phone and internet reimbursement, provident fund, and the option for hybrid remote work in Chennai, Tamil Nadu. Join us to contribute your expertise and grow professionally in a dynamic team environment.,

Responsibilities: Prepare and maintain cargo manifests, generate barcodes, update shipment details in Excel/Sheets, ensure accuracy, maintain confidentiality, verify records, and support operations team.

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. We're looking for candidates with strong technology and data understanding in big data engineering space, having proven delivery capability. This is a fantastic opportunity to be part of a leading firm as well as a part of a growing Data and Analytics team. Your key responsibilities include developing and deploying azure databricks in a cloud environment using Azure Cloud services, ETL design, development, and deployment to Cloud Service, interacting with Onshore, understanding their business goals, and contributing to the delivery of the workstreams, as well as designing and optimizing model codes for faster execution. To qualify for the role, you must be a computer science graduate or equivalent with 3 to 7 years of industry experience, have working experience in an Agile base delivery methodology (Preferable), possess flexible and proactive/self-motivated working style with strong personal ownership of problem resolution, strong analytical skills, proficiency in Software Development Best Practices, excellent debugging and optimization skills, experience in Enterprise grade solution implementations, and excellent communication skills (written and verbal formal and informal). You also need to have 3 to 7 years of Experience in developing data ingestion, data processing, and analytical pipelines for big data, relational databases, NoSQL, and data warehouse solutions. Extensive hands-on experience implementing data migration and data processing using Azure services like Databricks, ADLS, Azure Data Factory, Azure Functions, Synapse/DW, Azure SQL DB, etc. Hands-on experience in programming like python/pyspark, good knowledge on DWH concepts, well-versed in DevOps and CI/CD deployments, hands-on experience in SQL and procedural SQL languages, and must enjoy solving complex technical problems. Ideally, you'll also have experience on Banking and Capital Markets domains, use an issue-based approach to deliver growth, market, and portfolio strategy engagements for corporates, possess strong communication, presentation, and team building skills, and have experience in executing and managing research and analysis of companies and markets. At EY, you'll work with inspiring and meaningful projects, receive support, coaching, and feedback from engaging colleagues, have opportunities to develop new skills and progress your career, and enjoy the freedom and flexibility to handle your role in a way that's right for you. 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.,

As a MongoDB Developer with over 5 years of experience, you will be responsible for designing and developing MongoDB databases, collections, and schemas to efficiently store and manage party data for banking clients. Your role will involve implementing data ingestion, processing, and retrieval workflows using MongoDB features while adhering to banking industry standards. You will play a crucial role in optimizing MongoDB database performance by implementing indexing, sharding, and replication strategies to meet the high availability and low latency requirements of the banking sector. Ensuring data security and compliance will be a key aspect of your responsibilities, including implementing access controls, encryption, and backup/recovery processes in alignment with banking regulations. Collaboration with cross-functional teams, such as compliance and risk management, will be essential to understand data requirements and translate them into MongoDB solutions. You will actively contribute to the continuous improvement of party data infrastructure by proposing and implementing enhancements to address the evolving needs of the banking industry. Your day-to-day tasks will involve providing technical support, troubleshooting, and maintenance for MongoDB-powered party data systems to ensure minimal downtime and disruption to banking operations. It is imperative to stay updated with the latest MongoDB features, best practices, and industry trends, especially within the banking and financial services sectors. Working effectively within a large, complex banking organization is crucial, where you will need to adhere to established controls, policies, and procedures. Compliance with regulatory requirements and industry standards related to data management and security in the banking industry will also be a focal point of your responsibilities. Key Skills required for this role include expertise in MongoDB, database design, development, data ingestion, processing, retrieval, indexing, sharding, replication strategies, data security, access controls, encryption, backup/recovery processes, technical support, troubleshooting, and maintenance.,

The EDP Manager position at Poppys Knitwear Pvt Ltd - India in Tiruppur is a full-time on-site role. As the EDP Manager, you will be tasked with overseeing data processing, information technology management, software installation, computer network operations, and project management. To excel in this role, you should possess a strong skill set in data processing, information technology, and computer network operations. Experience in software installation and project management will be crucial for success in this position. Additionally, the ability to analyze and solve problems effectively is a key requirement. Excellent communication and leadership abilities are essential for this role as you will be interacting with various teams and stakeholders. A Bachelor's degree in Information Technology, Computer Science, or a related field is preferred to demonstrate your academic background in this field. If you are looking for a challenging opportunity in the IT sector and have a passion for managing data processing and information technology operations, this role at Poppys Knitwear Pvt Ltd - India could be the perfect fit for you. Join our team and contribute to our innovative knitwear products while making a significant impact in the fashion industry.,

We are urgently hiring for a Computer Operator Executive at CSS Player IT Solutions Pvt. Ltd. As a Computer Operator Executive, you will be responsible for managing all computer operator activities, including Microsoft Office, Internet browsing, mailing, and data entry. Your primary duties will involve handling the maintenance and operation of our computer systems, setting controls on computers and devices, responding to errors, and maintaining job run records. You will play a crucial role in ensuring the security and privacy of the system for our clients. We are looking for someone with excellent problem-solving skills, the ability to work well in high-pressure situations, and great written and verbal communication abilities. The ideal candidate should also have the willingness to learn technical skills required to manage our computer system, including the use of network monitoring software. The required skills for this position include being well-versed in data processing, possessing good communication skills, being confident, having experience in problem-solving, understanding computer networks, and having documentation and equipment maintenance skills. Location: Office Suite 4, First Floor, Varun Tower, Aronda Chowk, Faridabad, HR-121002 Job Type: Full-time Schedule: Day shift Ability to commute/relocate: Faridabad, Haryana: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's degree (Preferred) Experience: - Data entry: 1 year (Preferred) - Total work: 1 year (Preferred) Language: English (Preferred),

The Citi Analytics & Information Management (AIM) team is a global community that objectively connects and analyzes information to create actionable intelligence for business leaders. As the Anti Money Laundering (AML) Independent Validation (IV) lead (Vice President), you will be part of AIM, based in Bangalore, and report to the SVP leading the team. Your role as the Team Lead for the Independent Validation team will involve overseeing independent validation on AML tools, statistical analysis, and optimization of the AML Transaction Monitoring system. You will be responsible for managing a team that executes AML Scenario/Tool validation, runs complex statistical analysis, data visualizations, and data processing based on globally consistent standards, procedures, and templates. These standards incorporate regulatory guidelines (OCC 2011-12), the Bank's Model Risk Management (MRM) Policy, framework, and industry-leading practices. The ideal candidate is expected to have management experience, an interest in or experience with financial data, execute with a high level of integrity, quality, and attention to detail, and present findings/recommendations clearly in both written and verbal formats. A background in statistics and/or mathematics, experience with data analysis and/or data mining, fluency in English, and excellent communication skills are necessary. Experience and knowledge in banking, finance, and/or AML will be desirable. Responsibilities: - Oversee Independent Validation of AML Scenarios, KPI reports, AML Cards Scenarios, etc., ensuring compliance with model governance policy, guidelines, and OCC requirements. - Document and communicate clearly, review validation processes and outcomes, and effectively present/discuss findings and recommendations to stakeholders. - Build an effective team, identify and develop talents, and prepare succession plans for key positions. - Coach and supervise juniors, ensure quality of analysis, and raise standards of excellence. - Innovate and generate new ideas to improve methods of obtaining and evaluating data. - Document solutions and present results in a simple comprehensive way to non-technical audiences. - Maintain industry-leading knowledge of tools, systems, and processes for AML Detection and Monitoring Operations. - Ensure Data Quality and Reliability. - Distribute validation reports and consult with model and business owners on validation results. Qualifications: - 12+ years of experience in Financial Services/Analytics Industry. - Prior experience in designing AML detection and monitoring systems. - Experience in AML analytics, AML Scenarios development, Threshold tuning, Segmentations, Clustering, Random Client Analysis, etc. - Experience with very large transactional systems. Knowledge of Mantas is considered an asset. - Experience in managing a diverse team. - Strong understanding and application of analytical techniques. - Effective communication skills at all levels of the organization. - Self-motivated with decision-making abilities. - Methodical analysis and problem-solving skills. - Minimum of 5 years of experience in SAS and/or R software. - Minimum of 5 years of experience with relational databases. - Master's degree in statistics/mathematics/technical science. Citi is an equal opportunity and affirmative action employer. Citi encourages all qualified interested applicants to apply for career opportunities.,

The Technical Intern position located in Mira Road, Mumbai, is an internship opportunity suitable for students or fresh graduates. The internship is set for 6 months with potential for full-time conversion, offering a chance to work in system administration, data processing, web development, and general technical support roles. This role provides a hands-on experience in a dynamic technical environment. As a Technical Intern, your responsibilities will include assisting in system administration tasks under supervision, supporting data processing and storage operations, troubleshooting and resolving technical issues, working on web development tasks, and documenting processes while reporting findings to the technical head. To qualify for this role, you should be currently pursuing or have recently completed a degree in Computer Science, IT, or a related field. Basic knowledge of system administration, databases, and web technologies is required, along with an eagerness to learn and adapt to new technical challenges. Strong analytical and problem-solving skills are essential, as well as the ability to work effectively in a team and take initiative. The benefits of this internship include hands-on experience with real-world technical challenges, mentorship and learning opportunities from experienced professionals, potential for full-time employment based on performance, and certification and a letter of recommendation upon successful completion.,

The Litigation Support Specialist role at our company involves providing essential support to the litigation team in managing data, ensuring legal compliance, and assisting with case management. Your responsibilities will include preparing legal documents, overseeing electronic discovery, and collaborating effectively with various teams. To succeed in this role, you must have experience with eDiscovery tools such as Relativity and Nuix, as well as a strong knowledge of EDRM. Additionally, you will be expected to be flexible with shift timings, including night shifts, and possess a deep understanding of electronic discovery tools and technology, with an advanced level comprehension of eDiscovery Processing and data extraction. Qualifications & Requirements: - Education: A Bachelor's degree or equivalent combination of education and experience, preferably in Computer Science, Business Management, or a closely related field. - Experience: Minimum of 2-3 years of experience in Ediscovery. - Skills: Analytical Thinking, Communication, Customer Relationship Management (CRM), Data Analysis, Data Processing, Deadline Management, Detail-Oriented, Documentations, Electronic Discovery, Litigation Support, Operations Support, Problem Resolution, Project Coordination. - Certifications: Required - None, Preferred - RCA (Relativity Certified Admin). If you are someone who thrives in a dynamic environment, enjoys collaborating with enthusiastic individuals, and values personal and professional growth, this role offers an exciting opportunity for your career development.,

About this role: Wells Fargo is seeking a Operations Processor In this role, you will: Perform moderately complex operations duties in support of either a service center or department environment Require considerable knowledge of company personnel policies and practices Collect data and prepare related operational reports Prepare input forms for automated data processing system Utilize the company's internal operations to perform duties Coordinate projects Furnish information to authorized persons Provide guidance to all levels of employees regarding personnel policies and procedures requiring some policy interpretation Required Qualifications: 2+ years of operations support experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Job Expectation: Mail communication with customers, typing skill, verification of affidavit, POA etc Shift flexibility basis Business requirement Good Communication in English is mandatory Posting End Date: 9 Sep 2025 We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Applicants with Disabilities To request a medical accommodation during the application or interview process, visit . Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our to learn more. Wells Fargo Recruitment and Hiring Requirements: a. Third-Party recordings are prohibited unless authorized by Wells Fargo. b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

Position : Senior Quantitative Engineer - Systematic Strategies Location: Navi Mumbai or Delhi Shift: UK The Role: As a Senior Quantitative Engineer, you will design, implement, and maintain the data and systems architecture that powers Morningstar’s Systematic Strategies portfolios.For this you are expected to work closely with portfolio managers, researchers, and developers to help build, scale, and optimize the infrastructure that powers quantitative research and investment management. You should understand the nuances of the data and prepare it for ingestion, and your daily work with researchers and portfolio managers will facilitate the research, design, and deployment of quantitative strategies. This role is ideal for someone who thrives at the intersection of data engineering, cloud architecture, and financial systems. Data and Research are the key pillars for the role that require strong technical skills and comfort with cloud technology. Responsibilities : Design and maintain scalable data pipelines for financial and alternative datasets using PySpark and AWS Architect and manage cloud infrastructure (AWS EMR, S3, Glue, Lambda, ECS) to support quant research and production Collaborate with quantitative researchers and portfolio managers to operationalize data workflows and support model deployment Develop and support interactive dashboards and internal tools to visualize pipeline health, system performance, and data quality metrics for quant teams Build and maintain tools and platforms for backtesting, simulation, and analytics. Optimize systems for performance, reliability, and cost-efficiency across compute and storage resources Implement data governance, quality, and lineage processes for high-integrity research environments Automate operational workflows and ensure CI/CD for quant systems Requirements : Bachelor’s or Masters’ degree in a quantitative, financial discipline, or engineering. 5+ years of experience in a Quant Engineer / Data Engineer / Platform Engineer role in an investment data handling team Expertise in Python, with strong knowledge of PySpark and distributed data processing Hands-on experience with AWS services (EMR, S3, Glue, Lambda, ECS, CloudWatch) Familiarity with market data feeds and financial datasets like FactSet, Bloomberg, Compustat Strong understanding of data architecture, storage formats (Parquet, Delta), and Spark performance tuning Proficiency in developing interactive dashboards using tools like Tableau/PowerBI/Quicksight to monitor Portfolio performance Experience with orchestration tools like Step function/Airflow and containerization using Docker Comfortable working in Agile teams with Git, CI/CD, and infrastructure-as-code (Terraform, CloudFormation) Knowledge of SQL and distributed query engines (e.g., Athena) Exposure with Axioma or equivalent portfolio risk and optimization platforms (e.g., MSCI Barra, Bloomberg PORT, PyPortfolioOpt) to support risk modeling, portfolio construction, and performance attribution workflows Knowledge in the domains of Agile Methodology, Machine Learning, and Optimization is a plus Good to have Skills: Strong understanding of Financial Reports like Returns/Factor Attribution/Risk metrices Exposure to financial markets or quant research environments. Familiarity with cost optimization strategies in cloud environments. Experience with real-time data ingestion frameworks (e.g., Kafka, Kinesis) Morningstar is an equal opportunity employer.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Data Engineering Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time educationMust Have; Azure Data Factory SQL Azure Data Lake Storage Data Engineering Solutions Structured and Unstructured Data Processing Data Modelling, Analysis, Design, Development, and Documentation Cloud Computing CI/CD DevOps Good to Have (Minimum of 3) Azure DevOps PowerApps Azure Function App Databricks PowerBI (advanced knowledge) Python Airflow DAG Infra deployments (Azure, Bicep) Networking & security Scheduling for Orchestration of Workflows Agile Frameworks (Scrum) Qualification 15 years full time education

Skill required: Property & Casualty - Catastrophe Risk Management Designation: CAT Modeling & Analytics Specialist Qualifications: BE Years of Experience: 7 to 11 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do We help insurers redefine their customer experience while accelerating their innovation agenda to drive sustainable growth by transforming to an intelligent operating model. Intelligent Insurance Operations combines our advisory, technology, and operations expertise, global scale, and robust ecosystem with our insurance transformation capabilities. It is structured to address the scope and complexity of the ever-changing insurance environment and offers a flexible operating model that can meet the unique needs of each market segment.Cat Risk Analytics team develops technical solutions, applications and tools to support General Insurance business with risk analysis, pricing, portfolio analytics and cat modeling-Develop, maintain and support account pricing/valuation tools and modules-Develop, maintain and support cat modeling for account and portfolio-Develop, maintain and support data for hazard analytics-Develop, maintain and support hazard analytics for natcat and man-made cat risk-Develop, maintain and support portfolio analytics and portfolio modeling tools-Proof-of-concept new ideas (tools and data) quickly for risk analysis, pricing and portfolio analysis-Provide business support by responding to adhoc requests and reports in a timely manner What are we looking for Geo-Spatial Developer/Expert:Strong hands-on experience in Geo-spatial data and technologies, and depth in GIS best practices and principles; Must be able to work independently on technical tasksExpert in ESRI/ArcGIS tool suite - ArcMap/ArcGIS Pro, ArcGIS Server, ESRI/JavaScript, ArcPy (Python)Geo-spatial SQL programming (Oracle Spatial or PostGreSQL) is required.Experience in Python programming is requiredExperience in spatial data processing tool like Safe/FME desktop is required.Demonstrated experience with 3rd party data sources and geo-coding tools is requiredDemonstrated willingness to perform data analysis, and ability to abstract rules for data store and processing. Experience with large data is requiredExperience in Insurance/Reinsurance domain is highly desirable.Able to think independently and creativelyExperience with responding to production business queries and issues in a timely mannerClear and effective communicationStrong attention to detailExcellent time-management skills and multi-tasking under pressureMust be able to balance and adjust to changing organizational prioritiesDrive to solve problems and self-motivated learningMust be able to think outside of the box and have the ability to work in a small, collaborative team environment.Ability to work with global teams in a collaborative modeAbility to deal effectively and courteously with users and colleaguesMust be able to work outside of normal business hours, including evenings, weekends and public holidays, as necessary Roles and Responsibilities: Qualification BE

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : PySpark Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your day will involve overseeing the application development process, collaborating with team members, and making key decisions to ensure project success. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the application development process effectively- Ensure timely delivery of projects- Provide guidance and mentorship to team members Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark- Strong understanding of big data processing- Experience with data manipulation and transformation- Hands-on experience in building scalable applications- Knowledge of cloud platforms and services Additional Information:- The candidate should have a minimum of 7.5 years of experience in PySpark- This position is based at our Bengaluru office- A 15 years full-time education is required Qualification 15 years full time education

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Apache Spark Good to have skills : MySQL, Python (Programming Language), Google BigQueryMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing innovative solutions, and ensuring that applications are optimized for performance and usability. You will engage in problem-solving activities, participate in team meetings, and contribute to the overall success of projects by delivering high-quality applications that align with business objectives. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve application performance and user experience. Professional & Technical Skills: - Must To Have Skills: Proficiency in Apache Spark.- Good To Have Skills: Experience with Python (Programming Language), MySQL, Google BigQuery.- Strong understanding of distributed computing principles and frameworks.- Experience in developing data processing pipelines and ETL processes.- Familiarity with cloud platforms and services related to big data processing. Additional Information:- The candidate should have minimum 7.5 years of experience in Apache Spark.- This position is based at our Gurugram office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Apache Hadoop Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with team members to understand project needs, developing application features, and ensuring that the applications function seamlessly within the existing infrastructure. You will also engage in troubleshooting and optimizing applications to enhance performance and user experience, while adhering to best practices in software development. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the documentation of application processes and workflows.- Engage in code reviews to ensure quality and adherence to standards. Professional & Technical Skills: - Must To Have Skills: Proficiency in Apache Hadoop.- Strong understanding of distributed computing principles.- Experience with data processing frameworks such as Apache Spark.- Familiarity with data storage solutions like HDFS and NoSQL databases.- Knowledge of application development methodologies and best practices. Additional Information:- The candidate should have minimum 3 years of experience in Apache Hadoop.- This position is based at our Chennai office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Apache Spark Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. You will play a crucial role in developing innovative solutions to enhance business operations and efficiency. Roles & ResponsibilitiesExpected to perform independently and become an SMERequired active participation/contribution in team discussionsContribute in providing solutions to work-related problemsDevelop and implement software solutions to meet business requirementsCollaborate with team members to design and optimize applicationsTroubleshoot and debug applications to ensure optimal performanceStay updated on industry trends and technologies to enhance application development processesProvide technical guidance and support to junior team members Professional & Technical SkillsMust-Have SkillsProficiency in Apache SparkStrong understanding of big data processing and analyticsExperience with distributed computing frameworksHands-on experience in developing scalable applicationsKnowledge of cloud computing platformsMust-Have Additional SkillsPySparkSpark SQL / SQLAWS Additional InformationThe candidate should have a minimum of 3 years of experience in Apache SparkThis position is based at our Gurugram officeA 15 years full-time education is required Qualification 15 years full time education

Your Teams Impact Research Analyst ESG Fundamental Data - Operations Team will focus on initiatives related to the collection of company reported ESG data. The Analyst should have a strong business acumen and the ability to leverage a wide array of data and research analysis techniques to develop innovative recommendations. The ideal candidate is passionate about different secondary and primary research approaches, interpreting data, providing thought leadership/insights, and making recommendations in line with business goals. Research Analyst will be responsible and accountable for contributing to the growth of FactSet s ESG solutions knowledge library product and for ensuring consistently high-quality research. What Youll Do Collect, analyze and process company reported data from various data sources and into the database utilized by the ESG content team. ESG data processing, research, and analysis in line with ESG content team methodology. Fix the audit resolutions and recommendations coming from QC\Specialists based on specific guidelines. Tracking and monitoring developments and trends in various sectors of specialization and assessing the ESG impact of those companies on the overall sector. Update internal documents for performance metrics monitoring. Escalate data interpretation issues, as needed. Troubleshoot problems or issues and provide support to the team Focus and ensure that the integrity of the companys ESG data information is intact. Provide timely, accurate and reliable demographic and statistical ESG reported. Fulfill the research/analytical/ market study needs as and when required/ requested by the Internal/external stakeholders in order to procure and retain future/current business. The job also involves reporting and maintaining records of work done on a timely basis. Share Ideas and Best Practices from a Process Improvement perspective. What Were Looking For Graduate in commerce /Environmental science/ Corporate Governance/ Business Management / Finance / Accounting / Economics or equivalent. Computer Literacy to effectively use the database and software for collection and processing of content/data Good communications skills - written & verbal Numerical skills to ensure understanding of the financial data to be collected and/or processed Analytical skills and detail orientation to ensure accuracy of data Good Knowledge of financial markets and accountancy (as needed) To ensure effective understanding of assigned content/market

Cohesity is the leader in AI-powered data security. Over 13,600 enterprise customers, including over 85 of the Fortune 100 and nearly 70% of the Global 500, rely on Cohesity to strengthen their resilience while providing Gen AI insights into their vast amounts of data. Formed from the combination of Cohesity with Veritas enterprise data protection business, the company s solutions secure and protect data on-premises, in the cloud, and at the edge. Backed by NVIDIA, IBM, HPE, Cisco, AWS, Google Cloud, and others, Cohesity is headquartered in Santa Clara, CA, with offices around the globe. We ve been named a Leader by multiple analyst firms and have been globally recognized for Innovation, Product Strength, and Simplicity in Design , and our culture . Want to join the leader in AI-powered data security We are seeking a Software Engineer to work with innovative technologies in distributed systems, Cloud, and hyper-converged systems. In our collaborative environment, youll have the chance to continuously learn and apply your skills to develop powerful enterprise-grade software. Join our dedicated team committed to delivering exceptional products and services, and make a significant impact from day one. HOW YOU LL SPEND YOUR TIME HERE: Learn how to develop high-quality software and understand various software development processes to ship successful products. Work alongside your team to build product features and tackle real problems at an extensive scale. Be exposed to groundbreaking technologies in distributed systems, Cloud, and hyper-converged systems space. Deliver impact while deepening your technical skills and learning new tools and technologies to build enterprise-grade software. Collaborate with cross-functional teams to determine and implement flawless solutions. Design, develop, and maintain high-quality software. Participate in code reviews to ensure code quality and share knowledge. Troubleshoot and debug complex software issues. Collaborate with product managers and other collaborators to understand requirements and deliver solutions. Continuously improve software engineering practices and processes. WED LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING: Degree in Computer Science. Strong programming skills in any of C, C++, Go, Python, Java, or Angular/JS. Proficient in Data Structures, Algorithms, and Systems Design. Enjoy solving difficult problems and possess critical thinking abilities. Strong interpersonal and communication skills. Willing to take on difficult problems with a positive demeanor. 8 CGPA and above with no backlogs. Graduated in 2025.

Role Overview: As a Data Scientist Senior Associate at Chryselys, you will leverage advanced analytics, machine learning, and AI to transform complex datasets into actionable insights that drive strategic decision- making for our clients in the pharmaceutical and healthcare industries. You will work closely with cross- functional teams, including client stakeholders, business consultants, and analytics experts, to develop predictive models, optimize operations, and deliver innovative solutions that address critical business challenges. Key Responsibilities: Design, develop, and implement machine learning models and algorithms to analyze pharmaceutical datasets (e. g. , IQVIA, Symphony, Veeva, Open data) and provide actionable insights. Utilize advanced statistical techniques and data science methodologies to drive insights from complex data sources. Build and maintain data pipelines and scalable machine learning models on Data Lake architecture, leveraging cloud- based platforms such as AWS (Redshift, S3, SageMaker, etc. ). Collaborate with cross- functional teams to translate business problems into data science solutions. Create and present data visualizations, dashboards, and reports using tools like PowerBI, Tableau, Qlik, QuickSight, and ThoughtSpot to communicate findings and recommendations to clients. Conduct exploratory data analysis, data profiling, and feature engineering to prepare datasets for predictive modelling. Evaluate model performance, optimize algorithms, and ensure robustness and accuracy in predictions. Stay current with the latest advancements in data science, machine learning, and AI, and apply them to ongoing projects. What You Bring: Education: Bachelors or masters degree in data science, statistics, computer science, engineering, or a related quantitative field with a strong academic record. Experience: 2- 5 years of experience in data science, particularly in the pharmaceutical or healthcare industry, working with key datasets like Sales, Claims, and Payer data. Skills: Proficiency in programming languages such as Python and R, with a deep understanding of libraries like TensorFlow, Scikit- learn, and Pandas. Strong experience with SQL and cloud- based data processing environments such as AWS (Redshift, Athena, S3), and experience with Jupyter Notebooks/SageMaker. Demonstrated ability to build data visualizations and communicate insights through tools like PowerBI, Tableau, Qlik, QuickSight, or similar. Strong analytical skills, with experience in hypothesis testing, A/B testing, and statistical analysis. Ability to manage multiple projects, prioritize tasks, and meet deadlines in a fast- paced environment. Excellent communication and presentation skills, with the ability to explain complex data science concepts to non- technical stakeholders. A strong problem- solving mindset, with the ability to adapt and innovate in a dynamic consulting environment.

Key ResponsibilitiesUnderstand business requirements by engaging with business teams. Data extraction from valuable data sources & automating data collection process. Data processing, cleaning and validating integrity of data to be used for analysis. Exploratory data analysis to identify trends and patterns in large amount of data. Build machine learning based models using algorithms and statistical techniques like Regression, Decision trees, Boosting etc Present insights using data visualization techniques. Propose solutions and strategies to various complex business challengesBuild GenAI models using RAG frameworks for chatbots, summarisation etc Develop model deployement pipline using Lambda, ECS etcSkills & AttributesKnowledge of statistical programming languages like R, Python and database query languages like SQL and statistical tests like distributions, regression etc Experience in data visualization tools like tableau, QlikSense etc Ability to write comprehensive reports, with an analytical mind and inclination for problem-solving. Exposure in advanced techniques like GenAI, neural networks, NLP, image and speech processing. Ability to engage with stakeholders to understand business requirements and convert the same into technical problems for solution development and deployment

Generative AI (Minimum Requirements): Strong understanding of LLMs, agent architectures, generative pipelines. Proven experience in delivering AI solutions in enterprise setting. Hands-on with backend engineering: Python/Node.js, &REST APIs. Familiar with prompt engineering, model fine-tuning, and retrieval-augmented generation (RAG) Excellent communication skills with business and technical stakeholders Hands-on experience with LangGraph or similar AI agent frameworks Proficiency with LlamaIndex, LangChain, or equivalent data processing libraries Experience with vector databases (Pinecone, Weaviate, Chroma, etc.) Working knowledge of multiple LLMs and their APIs (OpenAI GPT, Gemini, Claude) Experience with LLM observability tools (LangSmith, Weights & Biases, etc.) Experience developing RAG (Retrieval-Augmented Generation) chatbots Experience with coding agents and code generation systems Traditional AI/ML: Strong foundation in clustering, regression, classification, and forecasting Proficiency with scikit-learn, PyTorch, TensorFlow Experience with statistical analysis and experimental design Knowledge of feature engineering and data preprocessing techniques Understanding of multimodal AI. Good to Have: Experience onAWS Bedrock/SageMaker Fine-tuning experience with LLMs, rerankers, or embedding models Self-hosting and deployment of open-source LLMs Experience with BERT, transformer architectures, or computer vision models (YOLO) MLOps experience with MLflow, Weights & Biases, or TensorBoard AWS Cloud platform certifications Fine-tuning tools: LoRA, QLoRA, PEFT Experience in building LLM BI solutions (natural language to SQL) 5. Nice to have requirements to the candidate Prior experience working on projects with a lot of PII data or working in Financial Services industry is a "Plus". Experience with multimodal AI systems combining text, image, and speech Familiarity with AI Ethics, Safety , and Responsible AI Frameworks Contributions to open-source AI projects or community involvement Qualifications Traditional AI/ML: Strong foundation in clustering, regression, classification, and forecasting Proficiency with scikit-learn, PyTorch, TensorFlow Experience with statistical analysis and experimental design Knowledge of feature engineering and data preprocessing techniques Understanding of multimodal AI. Would be a plus Good to Have: Experience onAWS Bedrock/SageMaker Fine-tuning experience with LLMs, rerankers, or embedding models Self-hosting and deployment of open-source LLMs Experience with BERT, transformer architectures, or computer vision models (YOLO) MLOps experience with MLflow, Weights & Biases, or TensorBoard AWS Cloud platform certifications Fine-tuning tools: LoRA, QLoRA, PEFT Experience in building LLM BI solutions (natural language to SQL) We offer Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office

About the Role Harman Automotive Services is looking for a Senior Engineer Business Operations to join the Business Operations team. As a member of the Business Operations team, you would be involved in the day-to-day operations of the Automotive Services business to improve efficiency. In this role you would be collaborating with the Engineering Delivery, Sales, Presales, Finance, HR, and Talent Acquisition teams to participate in activities required for the smooth functioning of the overall business. What You Will Do Participate in review / governance calls to close open actions and blockers for seamless execution of Business Operations. Eventually lead Business Operations Review calls with the Business Operations team tracking crucial KPIs. Ensuring data processing, management, and hygiene and understanding the importance of managing a multi-tool, multi-source data gathering and information extraction system. Understand and closely monitor Organizational, Business, and function specific goals to impact overall Operational Governance. Work closely with Sales, Presales, Strategy, and Partnerships teams to keep a tab on the sales pipeline, current pursuits, and demand planning for new businesses. Work closely with Finance, Business Leads and Engineering Delivery teams to influence profitability metrics and plan ramp-ups, ramp-downs, and workforce additions and regional expansions. Partner with supporting functions (Finance, HR, TA) and provides reporting data for making key decisions. Regular sync-ups, present data efficiently using various dashboards, with business stakeholders to help them take decisions and actions for profitable business and growth. Managing the overall Workforce along with other members of the team and tracking the efficiency based on business KPIs to ensure resource optimization and operational efficiency. Accountable for executing and owning Workforce Management processes using tools/ system adapted by Harman. Follow up and ensure key steps in business processes are actioned on time and within SLAs Manage a completion-based follow-up cadence with the functional step owners in different business processes. Publish weekly reports for business processes flagging progress, risks, and pending actions. Ensure data validation based on Harman standards for tools in the Harman Ecosystem. What You Need to Be Successful 3-7+ years of experience within Workforce Management, Bench Management, Sales Operations and Business Operations within the Software Services Industry. Master s degree in business administration preferably MBA. Knowledge of key process of Workforce Management, Cost control, and Revenue Optimization. Excellent and hands on experience on using PMA tools and Dashboard tools. Expert in data analytics and representation with the ability to create data visualizations using Microsoft Excel for multi-source and multidimensional data. Exceptional presentation skills and ability to create and deliver presentations to multiple business stakeholders. Proven experience in creating presentations related to Business and Sales Operations including resources, Cost, Sales Pipeline, and Utilization. Creative problem-solver with the ability to work with a blank slate and inspire others. Excellent organizational and cross functional skills Strong verbal, written and presentation skills to have effective communication at all levels in the organization. Bonus Points if You Have Experience in working within an Automotive OEM or Tier-1 supplier in the Automotive industry Experience in using AI tools to maximize efficiency in Business Operations and Workforce Management What Makes You Eligible Willingness to travel. Willingness to work in an office. Any offer of employment is conditioned upon the successful completion of a background investigation. What We Offer Flexible work environment, allowing for full-time remote work globally for positions that can be performed outside a HARMAN or customer location. Access to employee discounts on world-class Harman and Samsung products (JBL, HARMAN Kardon, AKG, etc.) Extensive training opportunities through our own HARMAN University Competitive wellness benefits Tuition reimbursement Be Brilliant employee recognition and rewards program. An inclusive and diverse work environment that fosters and encourages professional and personal development. You Belong Here HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want.

Job Description Reporting to the General Manager - Data Science, the Machine Learning Engineering Manager will be a key part of the Data Science Management Team, leading the productionising of advanced analytics and Machine Learning initiatives. In this exciting new role, you will be expected to collaborate with technical and data teams, building out platform capability and processes to serve our Data Science and analytics community. Roles & Responsibilities What will you do in the role With strong experience in managing technical teams and Machine Learning development lifecycles, you will be responsible for the day to day management of the Machine Learning Engineering team, ensuring they are delivering high quality solutions. You will also: Coach and develop the MLE team to leverage cutting edge Data Science, Machine Learning & AI technology. Maintain, evolve and develop our platforms to ensure that we have robust, scalable environments for the Data Scientists Provide technical guidance, support and mentorship to team members, helping them grow in their roles. Stay current with industry trends and advancements in AI and ML to support the company s data strategy. Establish and enforce best practice for ML & AI model deployment and monitoring. What are the key skills / experience you ll already have You will be highly numerate with a strong technical background with a proven ability to maintain hands on technical contribution whilst managing a team. You will have: Experience of training, evaluating, deploying and maintaining Machine Learning models Sound understanding of data warehousing and ETL tools Strong technical skills in following key tools & technologies Python and PySpark for data processing Familiarity with Snowflake, RDBMS or other databases Experience of working with Cloud infrastructure Experience of building infrastructure as code using technologies such as Terraform Exposure to ML Frameworks like Scikit Learn/TensorFlow/PyTorch Strong drive to master new tools, platforms, and technologies. Methodical approach with good attention to detail Effective communication skills Ability to work with international teams and across cultures.

About the Role Were seeking an experienced Cloud Platform and Data Engineering Specialist with expertise in GCP (Google Cloud Platform ) or Azure to join our team. The ideal candidate will have a strong background in cloud computing, data engineering, and DevOps. What you will do 1. Cloud Platform Management : Manage and optimize cloud infrastructure (GCP), ensuring scalability, security, and performance. 2. Data Engineering : Design and implement data pipelines, data warehousing, and data processing solutions. 3. Kubernetes and GKE : Develop and deploy applications using Kubernetes and Google Kubernetes Engine (GKE). 4. Python Development : Develop and maintain scripts and applications using Python. What You Need to Be Successful 1. Experience: 6-9 years of experience in cloud computing, data engineering, and DevOps. 2. Technical Skills: 1. Strong understanding of GCP (Google Cloud Platform) or Azure. 2. Experience with Kubernetes and GKE. 3. Proficiency in Python programming language (8/10). 4. Basic understanding of data engineering and DevOps practices. 3. Soft Skills: 1. Excellent problem-solving skills and attention to detail. 2. Strong communication and collaboration skills. Bonus Points if You Have 1. GCP: Experience with GCP services, including Compute Engine, Storage, and BigQuery. 2. Data Engineering: Experience with data engineering tools, such as Apache Beam, Dataflow, or BigQuery. 3. DevOps: Experience with DevOps tools, such as Jenkins, GitLab CI/CD, or Cloud Build. What Makes You Eligible 1. GCP Expertise: Strong expertise in GCP is preferred, but Azure experience will be considered in worst-case scenarios. 2. Python Proficiency: Proficiency in Python programming language is essential. 3. Kubernetes and GKE: Experience with Kubernetes and GKE is required. What We Offer - Competitive salary and benefits package - Opportunities for professional growth and development - Collaborative and dynamic work environment - Access to cutting-edge technologies and tools - Recognition and rewards for outstanding performance through BeBrilliant - Chance to work with a renowned German OEM - You are expected to work all 5 days in a week