4894 Data Processing Jobs - Page 22

We are seeking a highly skilled and motivated Data Engineer to join our dynamic team. As a Data Engineer, you will collaborate closely with our Data Scientists to develop and deploy machine learning models. Proficiency in below listed skills will be crucial in building and maintaining pipelines for training and inference datasets. Responsibilities: Work in tandem with Data Scientists to design, develop, and implement machine learning pipelines. Utilize PySpark for data processing, transformation, and preparation for model training. Leverage AWS EMR and S3 for scalable and efficient data storage and processing. Implement and manage ETL workflows using Streamsets for data ingestion and transformation. Design and construct pipelines to deliver high-quality training and inference datasets. Collaborate with cross-functional teams to ensure smooth deployment and real-time/near real-time inferencing capabilities. Optimize and fine-tune pipelines for performance, scalability, and reliability. Ensure IAM policies and permissions are appropriately configured for secure data access and management. Implement Spark architecture and optimize Spark jobs for scalable data processing.

We are seeking a skilled Data Transformation Specialist to join our team and play a key role in implementing data solutions. Our partner, RSMB , will be designing a range of data solutions throughout the delivery phase. Your role will be to take these solutions and translate them into efficient, high-quality code within the Barb Snowflake platform . Key Responsibilities Develop and implement data transformation solutions based on the designs provided by RSMB. Write, optimize, and maintain complex SQL queries to ensure efficient data processing. Work within the Snowflake environment , ensuring best practices for data storage, processing, and retrieval. Collaborate with stakeholders, including data architects and analysts, to ensure smooth execution of data solutions. Troubleshoot and resolve performance issues in SQL queries and Snowflake environments. Leverage Python for scripting and automation of data processing tasks. Ensure data integrity, quality, and compliance with industry standards.

The Oracle Cloud Infrastructure (OCI) team offers a unique opportunity to design, build, and operate a comprehensive suite of large-scale, integrated cloud services within a broadly distributed, multi-tenant cloud environment. With a commitment to delivering exceptional cloud products, OCI empowers customers to tackle some of the world's most pressing challenges, providing tailored solutions that meet their evolving needs. Are you passionate about designing and building large-scale distributed monitoring and analytics solutions for the cloud Do you thrive in environments that combine the agility and innovation of a startup with the resources and stability of a Fortune 100 company As a member of our fast-growing team, you'll enjoy a high degree of autonomy, diverse challenges, and unparalleled opportunities for growth. This role offers substantial upside potential, high visibility, and accelerated career advancement. Join our team of talented individuals and tackle complex problems in distributed systems, data processing, metrics collection, data analytics, network monitoring, and multi-tenant Infrastructure-as-a-Service (IaaS) at massive scale, driving innovation and excellence in the cloud. We are seeking an experienced manager to lead a software team responsible for Network Monitoring & Analytics Stack. We're looking for a dynamic leader who is passionate about driving team culture, excels at people management, relationship management, and managing and developing a strong development team. As the leader of the team, you will have the opportunity to build large-scale distributed monitoring and analytics solutions for the cloud, working with a talented group of engineers to solve complex problems in distributed systems, data processing, and network monitoring. Do you thrive in a fast-paced environment, and want to be an integral part of a truly great team Come join us! Responsibilities Own and build highly available OCI Networking services. Provide strategic leadership and guidance to a dedicated software development team. Drive the execution and delivery of service roadmap, ensuring projects are completed with the highest quality and within specified timelines. Engage in hands-on management, including addressing customer issues, managing escalations, and deploying code aligned with change management procedures. Maintain and enhance technical depth in software development practices and architectural design. Monitor service KPI metrics, alarms, logging, and overall service health. Lead the team in Agile development methodologies in a fast-paced environment. Coaching, mentoring, and developing best talent. Sets Goals and Expectations for performance and works with employees to establish specific, measurable goals and commitments. Required Qualifications: BS or MS in Computer Science, or equivalent experience. 5+ years of experience in managing engineers whose primary function is designing, developing, and maintaining large-scale distributed systems in production settings. 10+ years of experience with applications development with 2+ years in large scale distributed applications / web services/ systems design Ability to work in a collaborative, cross-functional team environment. Excellent verbal and written communication skills Strong analysis and reporting skills with attention to detail and accuracy at the senior executive level Able to meet quick turnaround times in a fast-paced environment Embrace and adopt to quick changes Desired Qualifications: Experience developing services on a public cloud platform (e.g, AWS, Azure, GCP or OCI) Experience with production operations and best practices for putting quality code in production and troubleshoot issues when the As a manager of the software engineering division, you will apply your knowledge of software architecture to manage software development tasks associated with developing, debugging or designing software applications, operating systems and databases according to provided design specifications. Build enhancements within an existing software architecture and suggest improvements to the architecture. Career Level - M3

As a member of the Tools & Automation team, your primary focus will be to enhance the user experience of our PMO tools through intelligent automation, reducing manual interventions, and addressing pain points. You will collaborate closely with O&T PMO teams, the Enterprise Tool and Reporting team, and key functions to deliver a transformative experience. Driving innovation, fostering collaboration, and delivering tangible value to our organization are key strategic focuses of this process improvement team. In addition, you will work on identifying unexplored technologies and solutions by partnering with technology teams for onboarding and deployment. Your role will involve leading initiatives related to the design and management of workflow automation projects. You will be responsible for creating and maintaining technical documentation, testing and fixing bugs, training users, identifying technology solutions based on business needs, and providing technical support. Success in this role will require a strong knowledge of Tableau and RPA development, expertise as a business analyst, and comfort working with a variety of technologies and ambiguity. You will apply in-depth disciplinary knowledge to contribute to the development of new techniques and improve processes and workflows for the area or function. Integrating subject matter and industry expertise within a defined area, you will need to have a thorough understanding of how areas collectively integrate within the sub-function, as well as coordinate and contribute to the objectives of the function and overall business. Your role will involve evaluating moderately complex and variable issues with substantial potential impact, where developing an approach or taking action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Good analytical skills will be necessary to filter, prioritize, and validate potentially complex and dynamic material from different sources. Your work will have a significant impact in terms of project size, geography, etc., as you influence decisions through advice, counsel, and/or facilitating services to others in your area of specialization. The work and performance of all teams in the area will be directly affected by your performance. **Responsibilities:** - Analyze and understand the requirements for each of the use cases within Automation Anywhere to help migrate off the platform into OpenSource RPA. - Work with ambiguity to help identify technical solutions for the business needs. - Design and develop RPA solutions using Python/Java and Selenium to automate web scraping and data processing. - Implement best practices for code organization, readability, and maintainability within the RPA ecosystem. - Create functional and technical documentation for each automated process, detailing the workflow, dependencies, and any necessary instructions for maintenance or future enhancements. - Collaborate with the team to gather feedback, refine the automated processes, and ensure they meet the desired objectives. - Optimize the performance and reliability of the RPA solutions, considering factors such as error handling, logging, and scalability, leveraging AA/OpenSource features and best practices. - Work within the AA/Open Source RPA structure to ensure smooth deployment, testing, and maintenance of the developed RPA processes. - Provide ongoing support and maintenance for the developed RPA processes, addressing any issues or updates as required. - Collaborate with cross-functional teams to define and deliver projects that meet business needs. - Work with stakeholders to capture business requirements and translate them into technical designs and strategies. **Requirements:** - Strong communication skills and Technical BA ability for requirement gathering. - 2+ years of Tableau development experience. - Ability to analyze complex processes and design efficient automation solutions. - Positive attitude and mindset to break silos and work through ambiguity to find and implement solutions. - 2+ years of experience as a Python Developer. - Strong proficiency in Python programming, with experience in web automation and data scraping libraries such as Selenium, BeautifulSoup, or Scrapy. - Familiarity with web technologies, including HTML, CSS, and JavaScript, Angular, to effectively navigate and interact with web pages. - Knowledge of database concepts and experience working with database systems like MSSQL, PostgreSQL, Oracle, or MongoDB is strongly preferred. - Familiarity with version control systems (e.g., Git, Bitbucket) is strongly preferred. - Strong communication skills and the ability to collaborate effectively with team members. - Excellent problem-solving skills, analytical, troubleshooting skills, and attention to detail. - Experience with Java and VBScript preferred. - Fluency in AA RPA platform and familiarity with its features, tools, and best practices preferred. - Proven experience in creating clear and comprehensive functional and technical documentation. - Familiarity with Agile development methodologies is preferred. - Experience developing and consuming APIs preferred. - Experience designing technical specification documents for RPA projects. **Education:** - Bachelors/University degree in Computer Science, Engineering, or a related field/equivalent experience. - Master's/University degree in Computer Science, Engineering, or a related field/equivalent preferred. Citi is an equal opportunity and affirmative action employer.,

You are a skilled Data Engineer with over 4 years of experience, seeking a role in Trivandrum (Hybrid) for a contract duration of 6+ months in IST shift. Your main responsibility will be to design and develop data warehouse solutions utilizing Azure Synapse Analytics, ADLS, ADF, Databricks, and Power BI. You will be involved in building and optimizing data pipelines, working with large datasets, and implementing automation using DevOps/CI/CD frameworks. Your expertise should lie in Azure, AWS, Terraform, ETL, Python, and data lifecycle management. You will collaborate on architecture frameworks and best practices while working on data warehouse design and implementation. In this role, you will be expected to design and develop data warehouse solutions using Azure Synapse Analytics, ADLS, ADF, Databricks, Power BI, and Azure Analysis Services. This will involve developing and optimizing SQL queries, working with SSIS for ETL processes, and handling challenging scenarios effectively in an onshore-offshore model. You will build and optimize data pipelines for ETL workloads, work with large datasets, and implement data transformation processes. You will utilize DevOps/CI/CD frameworks for automation, leveraging Infrastructure as Code (IaC) with Terraform and configuration management tools. Participation in architecture framework discussions, best practices, and the implementation and maintenance of Azure Data Factory pipelines for ETL projects will also be part of your responsibilities. Ensuring effective data ingestion, transformation, loading, validation, and performance tuning are key aspects of the role. Your skills should include expertise in Azure Synapse Analytics, ADLS, ADF, Databricks, Power BI, and Azure Analysis Services. Strong experience in SQL, SSIS, and Query Optimization is required. Hands-on experience with ETL pipelines, Data Warehousing, and Analytics, as well as proficiency in Azure, AWS, and DevOps/CI/CD frameworks are essential. Experience with Terraform, Jenkins, Infrastructure as Code (IaC), and strong knowledge of Python for data processing and transformation are also necessary. The ability to work in an ambiguous environment and translate vague requirements into concrete deliverables is crucial for this role.,

Role & responsibilities - Read Invoices and Data entry - Work with Store Managers to alert price differences - Excel and Microsoft Office - Interact with other Staff - Capture Employees Availability - Capture Employees Hours - Night Shift to support USA timezone Preferred candidate profile

Job Purpose Duties and Responsibilities Write efficient SQL queries to extract, transform, and load data Develop Python scripts for data processing, analysis, and automation Utilize Databricks to build scalable data pipelines and notebooks Collaborate with cross-functional teams to interpret data requirements Perform exploratory data analysis and generate actionable insights Maintain data integrity and troubleshoot issues in datasets Work within modern cloud environments (Azure, AWS, or GCP) Support initiatives involving AI/ML technologies and tools Recommend, document, and oversee policies and procedures to meet industry best practices and to meet required SLAs. Excellent Communication Required Qualifications and Experience REQUIRED QUALIFICATIONS: Bachelors degree in Information Technology, Computer Science, or related field 2-3 years of experience in a data-driven role Proficiency in SQL and Python Hands-on experience with Databricks or similar data platforms Understanding of cloud architecture (Azure, AWS, or GCP preferred) Familiarity with AI technologies like machine learning frameworks or cloud-based AI tools Analytical mindset with problem-solving capabilities Excellent communication and documentation s Knowledge of Azure, SFDC, Power BI would be added advantage Exceptionally high motivational levels and needs to be a self-starter.

Salesforce Data Entry and Management - 2-3 years process the data manually and maintan the data in the salesforce Stakeholder Management Excellent in communication Attention should be in detail NP : Immediate Joiners - 15 Days Job Description The purpose of this role is to execute data processing for our clients. This role is able to understand the input file requirements and output file requirements, along with data processing capabilities. The end result is a role that delivers data processing results for our clients. Key responsibilities: Job Description Key responsibilities: The individual must have capacity for independent and proactive work (connecting and collaborating with different individuals and teams), must have strong data validation and integrity awareness (able to analyze data and understand what might be missing or incomplete), and strong Salesforce and Excel literacy Salesforce Data Entry and Management: Proactively connecting with Global Business Development (BD) team to ensure that Business Intelligence are being informed of all new pitch developments (new pitches into pipeline, changes in pitch status, reasons of closure for concluded pitches). The FTE should be immersed in the BD team, understanding their team organization, ways of working, and communication channels Collaboration with Global Commercial team to ensure that all pitch information (including scope and financials) are being shared in the agreed templated formats Entry of all multi-market opportunity groupings for pitches the Global Business Development team is involved in. This includes proactively liaising with the teams outlined above to ensure that all required pitch information is being shared. The FTE should escalate all blockers to Business Intelligence leads Ensure that all local market opportunities are created for each relevant grouping, and that local Salesforce leads are aware of this and assume ownership of their respective opportunities. For each commercial submission, and at pitch closure, the FTE should support in checking that all financials and opportunity information is aligned On an ongoing basis, the FTE must be running regular Salesforce-report based data checks to aide in the above tasks. Salesforce opportunity and report literacy will be fundamental to this Support in all automation projects, helping drive AI into the way of working for manual tasks. This must entail working closely with data automation and Salesforce development teams, understanding UAT processes and how the apply to dentsu Salesforce Identifies solution improvements and efficiencies to benefit clients and the business Understands and implements data loading and QC validation concepts

This position provides input, support, and performs full systems life cycle management activities (e.g., analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc.). He/She participates in component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements. This position provides input to applications development project plans and integrations. He/She collaborates with teams and supports emerging technologies to ensure effective communication and achievement of objectives. This position provides knowledge and support for applications development, integration, and maintenance. He/She provides input to department and project teams on decisions supporting projects. Skill set required for this position : Microsoft SQL TSQL 5+ years (should have hands on and recent experience) Azure Data Factory (ADF) (should have hands on and recent experience) Azure data engineering certification (DP-203) (Good to have) SSRS (Good to have) SSIS (Good to have) Responsibilities: Strong experience in creating good solutions w/o mature, detailed, codified business requirements. Working experience in delivering expected results in unstructured environments. Optimizing the data storage and retrieval processes for efficient complaint management by leveraging the SQL database structure and constructs. implementing secure coding practices throughout the development lifecycle to help prevent security vulnerabilities from being introduced into software. experience with cloud platforms such as Microsoft Azure (is preferred), AWS or Google Cloud Platform. Create quality mock-ups and prototypes Illustrate design ideas using storyboards, process flows and sitemaps Excellent analytical skills, attention to detail, and problem-solving skills. Proven ability to handle multiple tasks and projects simultaneously. Good communication skills with both technical and non-technical stake holders. Ability to work with project team member when the requirement is not clear. Must possess excellent written and oral communication skills. Works productively and effectively independently without significant management oversight. Build standards and best practices for development teams Day to day work activities includes : Creating/managing SQL tables, Views, Queries, Triggers and Stored procedures. Optimize existing SQL objects designing, developing, and managing data pipelines for data integration and transformation Ensuring the security of data processing workflows and access controls within ADF Optimize existing ADF pipelines Troubleshoot data pipeline - provisioning resources, monitoring performance, and troubleshooting issues. Perform data analysis with multiple datasets Participate in technical discussions Participate in status meetings Stay up to date on emerging technologies Write functional/technical requirement documents and guides Qualifications: Bachelor s Degree or International equivalent 8+ Years of Experience

Job Description : Enter Purchase Orders (POs) for NYKAA, RK, FK MINUTES, and FK ALPHA,RK and schedule appointments. Update invoices on the NYKAA panel. Create consignments for FK and Amazon. Mailed for invoices for all channels to the accounts team. Follow up with the Warehouse (WH) team to ensure planned shipments are dispatched on the same day. RTD marking on FK panel

Role Purpose The purpose of the role is to define and develop Enterprise Data Structure along with Data Warehouse, Master Data, Integration and transaction processing with maintaining and strengthening the modelling standards and business information. Do 1. Define and Develop Data Architecture that aids organization and clients in new/ existing deals a. Partnering with business leadership (adopting the rationalization of the data value chain) to provide strategic, information-based recommendations to maximize the value of data and information assets, and protect the organization from disruptions while also embracing innovation b. Assess the benefits and risks of data by using tools such as business capability models to create an data-centric view to quickly visualize what data matters most to the organization, based on the defined business strategy c. Create data strategy and road maps for the Reference Data Architecture as required by the clients d. Engage all the stakeholders to implement data governance models and ensure that the implementation is done based on every change request e. Ensure that the data storage and database technologies are supported by the data management and infrastructure of the enterprise f. Develop, communicate, support and monitor compliance with Data Modelling standards g. Oversee and monitor all frameworks to manage data across organization h. Provide insights for database storage and platform for ease of use and least manual work i. Collaborate with vendors to ensure integrity, objectives and system configuration j. Collaborate with functional & technical teams and clients to understand the implications of data architecture and maximize the value of information across the organization k. Presenting data repository, objects, source systems along with data scenarios for the front end and back end usage l. Define high-level data migration plans to transition the data from source to target system/ application addressing the gaps between the current and future state, typically in sync with the IT budgeting or other capital planning processes m. Knowledge of all the Data service provider platforms and ensure end to end view. n. Oversight all the data standards/ reference/ papers for proper governance o. Promote, guard and guide the organization towards common semantics and the proper use of metadata p. Collecting, aggregating, matching, consolidating, quality-assuring, persisting and distributing such data throughout an organization to ensure a common understanding, consistency, accuracy and control q. Provide solution of RFPs received from clients and ensure overall implementation assurance i. Develop a direction to manage the portfolio of all the databases including systems, shared infrastructure services in order to better match business outcome objectives ii. Analyse technology environment, enterprise specifics, client requirements to set a collaboration solution for the big/small data iii. Provide technical leadership to the implementation of custom solutions through thoughtful use of modern technology iv. Define and understand current issues and problems and identify improvements v. Evaluate and recommend solutions to integrate with overall technology ecosystem keeping consistency throughout vi. Understand the root cause problem in integrating business and product units vii. Validate the solution/ prototype from technology, cost structure and customer differentiation point of view viii. Collaborating with sales and delivery leadership teams to identify future needs and requirements ix. Tracks industry and application trends and relates these to planning current and future IT needs 2. Building enterprise technology environment for data architecture management a. Develop, maintain and implement standard patterns for data layers, data stores, data hub & lake and data management processes b. Evaluate all the implemented systems to determine their viability in terms of cost effectiveness c. Collect all the structural and non-structural data from different places integrate all the data in one database form d. Work through every stage of data processing: analysing, creating, physical data model designs, solutions and reports e. Build the enterprise conceptual and logical data models for analytics, operational and data mart structures in accordance with industry best practices f. Implement the best security practices across all the data bases based on the accessibility and technology g. Strong understanding of activities within primary discipline such as Master Data Management (MDM), Metadata Management and Data Governance (DG) h. Demonstrate strong experience in Conceptual, Logical and physical database architectures, design patterns, best practices and programming techniques around relational data modelling and data integration 3. Enable Delivery Teams by providing optimal delivery solutions/ frameworks a. Build and maintain relationships with delivery and practice leadership teams and other key stakeholders to become a trusted advisor b. Define database physical structure, functional capabilities, security, back-up and recovery specifications c. Develops and establishes relevant technical, business process and overall support metrics (KPI/SLA) to drive results d. Monitor system capabilities and performance by performing tests and configurations e. Integrate new solutions and troubleshoot previously occurred errors f. Manages multiple projects and accurately reports the status of all major assignments while adhering to all project management standards g. Identify technical, process, structural risks and prepare a risk mitigation plan for all the projects h. Ensure quality assurance of all the architecture or design decisions and provides technical mitigation support to the delivery teams i. Recommend tools for reuse, automation for improved productivity and reduced cycle times j. Help the support and integration team for better efficiency and client experience for ease of use by using AI methods. k. Develops trust and builds effective working relationships through respectful, collaborative engagement across individual product teams l. Ensures architecture principles and standards are consistently applied to all the projects m. Ensure optimal Client Engagement i. Support pre-sales team while presenting the entire solution design and its principles to the client ii. Negotiate, manage and coordinate with the client teams to ensure all requirements are met iii. Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor Mandatory Skills: Network Operations - Utilities .Experience: 10 YEARS .

Salary: 25 to 40 LPA Exp: 5 to 10 years Location: Gurgaon/Pune/Bengalore Notice: Immediate to 30 days..!! Job Profile: Experienced Data Engineer with a strong foundation in designing, building, and maintaining scalable data pipelines and architectures. Skilled in transforming raw data into clean, structured formats for analytics and business intelligence. Proficient in modern data tools and technologies such as SQL, T-SQL, Python, Databricks, and cloud platforms (Azure). Adept at data wrangling, modeling, ETL/ELT development, and ensuring data quality, integrity, and security. Collaborative team player with a track record of enabling data-driven decision-making across business units. As a Data engineer, Candidate will work on the assignments for one of our Utilities clients. Collaborating with cross-functional teams and stakeholders involves gathering data requirements, aligning business goals, and translating them into scalable data solutions. The role includes working closely with data analysts, scientists, and business users to understand needs, designing robust data pipelines, and ensuring data is accessible, reliable, and well-documented. Regular communication, iterative feedback, and joint problem-solving are key to delivering high-impact, data-driven outcomes that support organizational objectives. This position requires a proven track record of transforming processes, driving customer value, cost savings with experience in running end-to-end analytics for large-scale organizations. Design, build, and maintain scalable data pipelines to support analytics, reporting, and advanced modeling needs. Collaborate with consultants, analysts, and clients to understand data requirements and translate them into effective data solutions. Ensure data accuracy, quality, and integrity through validation, cleansing, and transformation processes. Develop and optimize data models, ETL workflows, and database architectures across cloud and on-premises environments. Support data-driven decision-making by delivering reliable, well-structured datasets and enabling self-service analytics. Provides seamless integration with cloud platforms (Azure), making it easy to build and deploy end-to-end data pipelines in the cloud Scalable clusters for handling large datasets and complex computations in Databricks, optimizing performance and cost management. Must to have Client Engagement Experience and collaboration with cross-functional teams Data Engineering background in Databricks Capable of working effectively as an individual contributor or in collaborative team environments Effective communication and thought leadership with proven record. Candidate Profile: Bachelors/masters degree in economics, mathematics, computer science/engineering, operations research or related analytics areas 3+ years experience must be in Data engineering. Hands on experience on SQL, Python, Databricks, cloud Platform like Azure etc. Prior experience in managing and delivering end to end projects Outstanding written and verbal communication skills Able to work in fast pace continuously evolving environment and ready to take up uphill challenges Is able to understand cross cultural differences and can work with clients across the globe.

Compile, verify accuracy and sort information according to priorities to prepare source data for computer entry Review data for deficiencies or errors, correct any incompatibilities if possible and check output

Perform data manipulation, analysis, and reporting using large-scale sales and physician-level datasets Select and apply appropriate technologies (Excel, SAS, Python, etc.) for efficient data processing Work independently with full ownership of tasks, timelines, and outcomes Apply advanced analytical techniques such as regression, clustering, decision trees, PCA, and time series analysis Communicate project outputs, risks, and recommendations clearly to stakeholders Develop expertise in IQVIA s proprietary databases, methodologies, and analytical frameworks Ensure timely delivery of high-quality outputs with proper documentation Present insights in a business-relevant context through effective written and verbal communication Demonstrate adaptability, quick learning, and openness to new technologies and domain knowledge Qualifications and Skills: Bachelor s or Master s degree in Economics, Econometrics, Statistics, Mathematics, Data Mining, Operations Research OR B.Tech / MBA with relevant experience 1-3 years of experience in analytics Proficiency in MS Excel, PowerPoint, R, Python, SQL, and SAS Hands-on experience with analytical techniques such as regression (linear & logistic), PCA, factor analysis, clustering, decision trees, random forest, and time series analysis Familiarity with pharmaceutical domain concepts and healthcare market dynamics Self-motivated, flexible, and capable of working independently

Perform data manipulation, analysis, and reporting using large-scale sales and physician-level datasets Select and apply appropriate technologies (Excel, SAS, Python, etc.) for efficient data processing Work independently with full ownership of tasks, timelines, and outcomes Apply advanced analytical techniques such as regression, clustering, decision trees, PCA, and time series analysis Communicate project outputs, risks, and recommendations clearly to stakeholders Develop expertise in IQVIA s proprietary databases, methodologies, and analytical frameworks Ensure timely delivery of high-quality outputs with proper documentation Present insights in a business-relevant context through effective written and verbal communication Demonstrate adaptability, quick learning, and openness to new technologies and domain knowledge Qualifications and Skills: Bachelor s or Master s degree in Economics, Econometrics, Statistics, Mathematics, Data Mining, Operations Research OR B.Tech / MBA with relevant experience 1 3 years of experience in analytics Proficiency in MS Excel, PowerPoint, R, Python, SQL, and SAS Hands-on experience with analytical techniques such as regression (linear & logistic), PCA, factor analysis, clustering, decision trees, random forest, and time series analysis Familiarity with pharmaceutical domain concepts and healthcare market dynamics Self-motivated, flexible, and capable of working independently

Design, develop, and deploy machine learning models for real-world applications. Implement and optimize end-to-end ML pipelines using PySpark and MLflow. Work with structured and unstructured data using Pandas, NumPy, and other data processing libraries. Train and fine-tune models using scikit-learn, TensorFlow, or PyTorch. Integrate and experiment with Large Language Models (LLMs) such as OpenAI GPT, Hugging Face Transformers, etc. Collaborate with cross-functional teams including data engineers, product managers, and software developers. Monitor model performance and continuously improve model accuracy and reliability. Maintain proper versioning and reproducibility of ML experiments using MLflow. Required Skills: Strong programming experience in Python. Solid understanding of machine learning algorithms, model development, and evaluation techniques. Experience with PySpark for large-scale data processing. Proficient with MLflow for tracking experiments and model lifecycle management. Hands-on experience with Pandas, NumPy, and Scikit-learn. Familiarity or hands-on experience with LLMs (e.g., OpenAI, Hugging Face Transformers). Understanding of MLOps principles and deployment best practices. Preferred Qualifications: Bachelor s or Master s degree in Computer Science, AI/ML, Data Science, or a related field. Experience in cloud ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI) is a plus. Strong analytical and problem-solving abilities. Excellent communication and teamwork skills.

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

Responsibilities & Key Deliverables Basic Knowledge of Vehicle / Engine manufacturing Process and its systems. Responsible for ensuring customer centricity by responding to various product complaints and taking corrective and preventive actions. Smooth launching of defect free products. To resolve the customer complaint at minimum possible time achieved by field, in order to attain good customer satisfaction. To find out cost effective solution for the field concerns. To create a conducive environment for safe and engaged working. Stand ardization: Recommend and Implement stand ardized elements through detailed analysis for productivity improvement and cost control. Release the engineering change notice. Implement design changes. Monitoring progress of concern resolution. updating engineering Documents and Stand ards. Ensuring control of engineering documents. Preparation of BOM, DFMEA, DVP before the release of design. Measurement system knowledge. Data processing Knowledge - ability to extrapolate and predict the failures. Horizontal deployments, Cross learnings in all plants. Root cause analysis and action planning for field issues. Concern based supplier audits Preferred Industries Manufacturing Education Qualification Bachelor of Engineering; Diploma in Engineering in Mechanical; Diploma in Engineering in Automobile; Diploma in Engineering in Production; Bachelor of Engineering in Mechanical; Bachelor of Engineering in Automobile; Bachelor of Engineering in Production; Bachelors of Technology General Experience Diploma - Mech/Production/Automobile - 10 to 12 yrs. BE. - Mech/Production/Automobile- 5-8 yrs Critical Experience System Generated Core Skills Analytical Thinking Communication Skills Customer Support Product Knowledge -Vehicle System Product Knowledge - Engine System Failure Mode and Effects Analysis (FMEA) Interpersonal Skills ISO TS 16949 - Quality Management Quality Management Negotiation Presentation Skills Process Knowledge - Manufacturing Customer Experience Customer Analysis Customer Centricity Product Complaints Customer Complaints Management Customer Satisfaction Cost Optimization Process Standardization Productivity Improvement Cost Control Change Management Progress Monitoring Bill of Materials (BOM) Design Failure Mode and Effects Analysis (DFMEA) Design Verification Plan (DVP) Root Cause Analysis Auditing System Generated Secondary Skills

Is an integral part of a team of market researchers and data analysts within the market research field The role requires strong experience of market research techniques and the ability to handle all stages of the project life cycle, from proposal to insights writing. Will be responsible to identify research objectives and provide actionable insights. Job Description: Sr. Research Analyst: Job Description. Key Responsibilities (non-technical) Ensure that all projects are completed within budget and in a timely manner. Check feasibility of project execution (timelines included) and flag any concerns. The person will take ownership of the assigned project(s) under limited guidance of the supervisor. Build the project plan with clear timelines for each milestone. Set up and implement new and on-going projects. Provide timely status reports, project analysis and recommendations. Proactively identify project risks and develop risk mitigation plans. Organize meetings with internal stakeholders such as survey programming, data processing and coding teams to ensure seamless execution of projects. Tasks may include: Contribute ideas to improve look and feel of survey with a view to improve respondent engagement. Define sampling plan and identify potential bottlenecks. Analyse key project metrics with a view to improve performance. Ensure quality measures are followed. Update clients regularly on project progress Ensure key project performance metrics such as project profitability are met or exceed established guidelines Consistently exceed client expectations from project inception through completion Closely liaise with clients for projects briefing and post survey information Support the team in preparing invoices of completed projects in a timely manner Keep the internal tools fully updated on a daily basis so that everybody can know exactly the status of a project by checking the tools Ensure maximum client satisfaction by maintaining high level of quality for client deliverables, periodic communication on the progress of the project Resolving escalations and proactively taking corrective measures and ensuring successful closure of issues. Communicate effectively with vendors (i. e. , panel companies, translation agencies, CATI partners) Keep clients and supervisor in the loop and involve them whenever there is a change in the project specs Escalate any outstanding issue to supervisor as soon as identified Ensure process documents are updated from time to time Contribute to team meetings by being prepared and sharing ideas Key Responsibilities Technical: Should be able to test links in tools like Decipher, Confirmit Data checking e. g. , identify straight liners, speeders, verbatim checks etc. Should be able to understand and QC different deliverables like data tables, coded data, reports, scorecards etc. Create cross tabs on Decipher and Q Basic understanding of SPSS i. e. should be able to write basic syntax, take frequency, update data etc. Create reports in PowerPoint Good in excel Location: DGS India - Mumbai - Thane Ashar IT Park Brand: Merkle Time Type: Full time Contract Type: Permanent

Is an integral part of a team of market researchers and data analysts within the market research field The role requires strong experience of market research techniques and the ability to handle all stages of the project life cycle, from proposal to insights writing. Will be responsible to identify research objectives and provide actionable insights. Job Description: Sr. Research Analyst: Job Description. Key Responsibilities (non-technical) Ensure that all projects are completed within budget and in a timely manner. Check feasibility of project execution (timelines included) and flag any concerns. The person will take ownership of the assigned project(s) under limited guidance of the supervisor. Build the project plan with clear timelines for each milestone. Set up and implement new and on-going projects. Provide timely status reports, project analysis and recommendations. Proactively identify project risks and develop risk mitigation plans. Organize meetings with internal stakeholders such as survey programming, data processing and coding teams to ensure seamless execution of projects. Tasks may include: Contribute ideas to improve look and feel of survey with a view to improve respondent engagement. Define sampling plan and identify potential bottlenecks. Analyse key project metrics with a view to improve performance. Ensure quality measures are followed. Update clients regularly on project progress Ensure key project performance metrics such as project profitability are met or exceed established guidelines Consistently exceed client expectations from project inception through completion Closely liaise with clients for projects briefing and post survey information Support the team in preparing invoices of completed projects in a timely manner Keep the internal tools fully updated on a daily basis so that everybody can know exactly the status of a project by checking the tools Ensure maximum client satisfaction by maintaining high level of quality for client deliverables, periodic communication on the progress of the project Resolving escalations and proactively taking corrective measures and ensuring successful closure of issues. Communicate effectively with vendors (i. e. , panel companies, translation agencies, CATI partners) Keep clients and supervisor in the loop and involve them whenever there is a change in the project specs Escalate any outstanding issue to supervisor as soon as identified Ensure process documents are updated from time to time Contribute to team meetings by being prepared and sharing ideas Key Responsibilities Technical: Should be able to test links in tools like Decipher, Confirmit Data checking e. g. , identify straight liners, speeders, verbatim checks etc. Should be able to understand and QC different deliverables like data tables, coded data, reports, scorecards etc. Create cross tabs on Decipher and Q Basic understanding of SPSS i. e. should be able to write basic syntax, take frequency, update data etc. Create reports in PowerPoint Good in excel Location: DGS India - Mumbai - Thane Ashar IT Park Brand: Merkle Time Type: Full time Contract Type: Permanent

The Project Manager is responsible for the operational management of research projects. This role manages the day-to-day execution of project tasks, ensuring timelines are met, budgets are respected, and the project runs smoothly. The PM works closely with internal teams (Research Analyst, data processing, and programming) and supports the Research Lead by coordinating operational details, handling risk management, and ensuring high-quality delivery. Job Description: Responsibilities: Project Coordination: - Manages the project timeline, ensuring that all stages (e. g. , programming, fielding, and reporting) are completed on time and within scope. - Coordinates with cross-functional teams to execute operational elements of the project efficiently. - Regularly updates the Research Lead, CS and offshore leadership on project progress, risks, and solutions. Risk Management & Problem Solving: - Identifies potential risks to the project s timeline, scope, or budget and proactively develops risk mitigation plans. - Escalates issues when necessary and proposes solutions to keep the project on track. Operational Efficiency: - Builds and maintains comprehensive project schedules, updating regularly to ensure smooth operations. - Looks for efficiencies within the day-to-day running of projects, suggesting improvements where needed. - Ensures that all operational tasks (e. g. , programming, data processing) are executed according to best practices and quality standards. Quality Assurance: - Ensures that all deliverables (such as surveys, data outputs, and reports) are completed with a high standard of quality. - Works closely with analysts to oversee the technical aspects of projects, including programming, testing, and data processing. Documentation & Communication: - Actively participates in project meetings, documenting discussions, action items, and next steps. - Maintains thorough documentation for project handoffs between teams and ensures clear communication between all stakeholders. Skills/Behaviors Required: Operational Ownership & Accountability: - Demonstrates a strong sense of ownership for the operational elements of projects, ensuring timelines, quality, and budgets are met. - Takes accountability for the day-to-day execution of project tasks and operational deliverables. Project Management Expertise: - Strong project management skills, including timeline management, task prioritization, and risk mitigation. - Comfortable managing complex projects across multiple teams and geographies. - Comfortable managing field/Data collection and drive sample management. Collaborative Team Player: - Works effectively with internal teams ( data processing, programming and reporting) and is comfortable providing operational updates on client calls as needed. - Acts as a liaison between the Research Lead and internal teams, ensuring alignment and smooth handoff of tasks. Problem-Solving & Communication: - Excellent problem-solving skills, able to identify potential issues and offer solutions early in the project cycle. - Strong communication skills, capable of keeping all stakeholders informed about project status, risks, and needs. Adaptability & Flexibility: - Comfortable handling multiple projects with shifting priorities, environments, and deadlines. - Able to adjust plans quickly in response to changing client needs or project conditions. Location: DGS India - Mumbai - Thane Ashar IT Park Brand: Merkle Time Type: Full time Contract Type: Permanent

The Project Manager is responsible for the operational management of research projects. This role manages the day-to-day execution of project tasks, ensuring timelines are met, budgets are respected, and the project runs smoothly. The PM works closely with internal teams (Research Analyst, data processing, and programming) and supports the Research Lead by coordinating operational details, handling risk management, and ensuring high-quality delivery. Job Description: Responsibilities: Project Coordination: - Manages the project timeline, ensuring that all stages (e. g. , programming, fielding, and reporting) are completed on time and within scope. - Coordinates with cross-functional teams to execute operational elements of the project efficiently. - Regularly updates the Research Lead, CS and offshore leadership on project progress, risks, and solutions. Risk Management & Problem Solving: - Identifies potential risks to the project s timeline, scope, or budget and proactively develops risk mitigation plans. - Escalates issues when necessary and proposes solutions to keep the project on track. Operational Efficiency: - Builds and maintains comprehensive project schedules, updating regularly to ensure smooth operations. - Looks for efficiencies within the day-to-day running of projects, suggesting improvements where needed. - Ensures that all operational tasks (e. g. , programming, data processing) are executed according to best practices and quality standards. Quality Assurance: - Ensures that all deliverables (such as surveys, data outputs, and reports) are completed with a high standard of quality. - Works closely with analysts to oversee the technical aspects of projects, including programming, testing, and data processing. Documentation & Communication: - Actively participates in project meetings, documenting discussions, action items, and next steps. - Maintains thorough documentation for project handoffs between teams and ensures clear communication between all stakeholders. Skills/Behaviors Required: Operational Ownership & Accountability: - Demonstrates a strong sense of ownership for the operational elements of projects, ensuring timelines, quality, and budgets are met. - Takes accountability for the day-to-day execution of project tasks and operational deliverables. Project Management Expertise: - Strong project management skills, including timeline management, task prioritization, and risk mitigation. - Comfortable managing complex projects across multiple teams and geographies. - Comfortable managing field/Data collection and drive sample management. Collaborative Team Player: - Works effectively with internal teams ( data processing, programming and reporting) and is comfortable providing operational updates on client calls as needed. - Acts as a liaison between the Research Lead and internal teams, ensuring alignment and smooth handoff of tasks. Problem-Solving & Communication: - Excellent problem-solving skills, able to identify potential issues and offer solutions early in the project cycle. - Strong communication skills, capable of keeping all stakeholders informed about project status, risks, and needs. Adaptability & Flexibility: - Comfortable handling multiple projects with shifting priorities, environments, and deadlines. - Able to adjust plans quickly in response to changing client needs or project conditions. Location: DGS India - Mumbai - Thane Ashar IT Park Brand: Merkle Time Type: Full time Contract Type: Permanent

Years of Experience: 7-10 Years Job Summary: We are seeking a highly skilled AI/ML Engineer with a strong background in machine learning and Python programming. The ideal candidate will have 7-10 years of experience in developing and deploying machine learning models and algorithms. You will be responsible for designing, implementing, and optimizing AI solutions that drive business value and enhance our product offerings. Responsibilities: Design and develop machine learning models and algorithms to solve complex business problems.Collaborate with cross functional teams to gather requirements and translate them into technical specifications.Implement and optimize machine learning pipelines for data processing, model training, and deployment.Conduct experiments to evaluate model performance and iterate on solutions based on findings.Stay updated with the latest advancements in AI/ML technologies and methodologies.Document processes, methodologies, and results to ensure knowledge sharing within the team.Mentor junior engineers and contribute to team skill development. Mandatory Skills: Proven experience in machine learning with Python.Strong understanding of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit learn).Experience with data preprocessing, feature engineering, and model evaluation techniques.Proficiency in data manipulation and analysis using libraries such as Pandas and NumPy.Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying ML models.Excellent problem solving skills and ability to work in a fast paced environment.Preferred Skills:Experience with deep learning techniques and frameworks.Knowledge of natural language processing (NLP) and computer vision.Familiarity with big data technologies (e.g., Hadoop, Spark).Experience with version control systems (e.g., Git).Strong communication skills and ability to present complex technical concepts to non technical stakeholders. Qualifications: Bachelors or Masters degree in Computer Science, Data Science, or a related field.7-10 years of relevant experience in AI/ML engineering.Proven track record of successful project delivery in machine learning applications.If you are passionate about AI and machine learning and are looking for an opportunity to make a significant impact, we encourage you to apply.

Job Role: Is an integral part of a team of market researchers and data analysts within the market research field The role requires strong experience of market research techniques and the ability to handle all stages of the project life cycle, from proposal to insights writing. Will be responsible to work closely with researchers across different geographies. Job Description: Sr. Research Analyst: Job Description. Key Responsibilities (non-technical) Ensure that all projects are completed within budget and in a timely manner. Check feasibility of project execution (timelines included) and flag any concerns. The person will take ownership of the assigned project(s) under limited guidance of the supervisor. Build the project plan with clear timelines for each milestone. Set up and implement new and on-going projects. Provide timely status reports, project analysis and recommendations. Proactively identify project risks and develop risk mitigation plans. Organize meetings with internal stakeholders such as survey programming, data processing and coding teams to ensure seamless execution of projects. Tasks may include: Contribute ideas to improve look and feel of survey with a view to improve respondent engagement. Define sampling plan and identify potential bottlenecks. Analyse key project metrics with a view to improve performance. Ensure quality measures are followed. Update clients regularly on project progress Ensure key project performance metrics such as project profitability are met or exceed established guidelines Consistently exceed client expectations from project inception through completion Closely liaise with clients for projects briefing and post survey information Support the team in preparing invoices of completed projects in a timely manner Keep the internal tools fully updated on a daily basis so that everybody can know exactly the status of a project by checking the tools Ensure maximum client satisfaction by maintaining high level of quality for client deliverables, periodic communication on the progress of the project Resolving escalations and proactively taking corrective measures and ensuring successful closure of issues. Communicate effectively with vendors (i.e., panel companies, translation agencies, CATI partners) Keep clients and supervisor in the loop and involve them whenever there is a change in the project specs Escalate any outstanding issue to supervisor as soon as identified Ensure process documents are updated from time to time Contribute to team meetings by being prepared and sharing ideas Key Responsibilities Technical: Should be able to test links in tools like Decipher, Confirmit, Alchemer, Qualtrics Data checking e.g., identify straight liners, speeders, verbatim checks etc. Should be able to understand and QC different deliverables like data tables, coded data, reports, scorecards etc. Create cross tabs on Decipher and Q, Marketsight Basic understanding of SPSS i.e. should be able to write basic syntax, take frequency, update data etc. Create reports in PowerPoint Good in excel Location: DGS India - Mumbai - Thane Ashar IT Park Brand: Merkle Time Type: Full time Contract Type: Permanent

Job Role: Is an integral part of a team of market researchers and data analysts within the market research field The role requires strong experience of market research techniques and the ability to handle all stages of the project life cycle, from proposal to insights writing. Will be responsible to work closely with researchers across different geographies. Job Description: Sr. Research Analyst: Job Description. Key Responsibilities (non-technical) Ensure that all projects are completed within budget and in a timely manner. Check feasibility of project execution (timelines included) and flag any concerns. The person will take ownership of the assigned project(s) under limited guidance of the supervisor. Build the project plan with clear timelines for each milestone. Set up and implement new and on-going projects. Provide timely status reports, project analysis and recommendations. Proactively identify project risks and develop risk mitigation plans. Organize meetings with internal stakeholders such as survey programming, data processing and coding teams to ensure seamless execution of projects. Tasks may include: Contribute ideas to improve look and feel of survey with a view to improve respondent engagement. Define sampling plan and identify potential bottlenecks. Analyse key project metrics with a view to improve performance. Ensure quality measures are followed. Update clients regularly on project progress Ensure key project performance metrics such as project profitability are met or exceed established guidelines Consistently exceed client expectations from project inception through completion Closely liaise with clients for projects briefing and post survey information Support the team in preparing invoices of completed projects in a timely manner Keep the internal tools fully updated on a daily basis so that everybody can know exactly the status of a project by checking the tools Ensure maximum client satisfaction by maintaining high level of quality for client deliverables, periodic communication on the progress of the project Resolving escalations and proactively taking corrective measures and ensuring successful closure of issues. Communicate effectively with vendors (i. e. , panel companies, translation agencies, CATI partners) Keep clients and supervisor in the loop and involve them whenever there is a change in the project specs Escalate any outstanding issue to supervisor as soon as identified Ensure process documents are updated from time to time Contribute to team meetings by being prepared and sharing ideas Key Responsibilities Technical: Should be able to test links in tools like Decipher, Confirmit, Alchemer, Qualtrics Data checking e. g. , identify straight liners, speeders, verbatim checks etc. Should be able to understand and QC different deliverables like data tables, coded data, reports, scorecards etc. Create cross tabs on Decipher and Q, Marketsight Basic understanding of SPSS i. e. should be able to write basic syntax, take frequency, update data etc. Create reports in PowerPoint Good in excel Location: DGS India - Mumbai - Thane Ashar IT Park Brand: Merkle Time Type: Full time Contract Type: Permanent