674 Data Processing Officer Jobs nearby Khammam

We are currently hiring for the role of Sales Manager/Engineer for one of our esteemed clients in Mumbai Location. Please find the detailed JD below: Position :- Big Data Developer Location :- Pune Experience : 5+ Years  Job Description A Big Data Developer specializes in designing, building, and managing systems that handle large amounts of data using technologies like Hadoop or Spark. Here's a breakdown of the role: Mandatory Skills-API Development & Integration, JAVA, Spark, BIG Data Development & Data Engineering. Key Responsibilities: - Designing and Building Big Data Applications: Collaborate with team members to create big data applications, requiring a wide range of skills, including Big Data, Python, Java, and data modelling. - Coding and Testing: Spend most of the day coding, testing, and fixing bugs in big data applications. - Data Management: Manage data processing systems, perform ETL tasks, and ensure data quality. - Infrastructure Management: Select and integrate Big Data tools and frameworks, monitor performance, and advise on infrastructure changes. If intrested Please share your updated CV and below details Total Exp in Big Data -Exp in SQL - Exp in Linux - Current CTC - Current Location -Notice Period - Reason for change -  -------------------------- Thanks & Regards,Evoke HR Solutions Pvt Ltd || +91 6358853287

Location: Bangalore, Chennai Employment Type: Full-Time Experience Level: Mid to Senior Level About the Role We are looking for a Big Data Engineer with strong experience in AWS cloud services, Python, and PySpark to design, build, and optimize large-scale data pipelines and data processing systems. The ideal candidate will work closely with data scientists, analysts, and platform engineers to ensure reliable, scalable, and efficient data infrastructure. Key Responsibilities Design, develop, and maintain big data processing pipelines using PySpark and AWS services (EMR, Glue, S3, Lambda, Redshift, Athena, etc.). Implement ETL/ELT data workflows to ingest, transform, and store structured and unstructured data. Optimize data processing jobs for performance, scalability, and cost efficiency in the cloud. Collaborate with data analysts and data scientists to support data modeling, feature engineering, and analytics use cases. Ensure data quality, governance, and security across all data environments. Monitor and troubleshoot data pipeline performance and production issues. Automate data workflows using Python, Airflow, or AWS Step Functions. Contribute to the development of best practices, reusable components, and documentation.

    Make outbound calls to potential customers to promote and sell credit cards. Explain product features, benefits, and eligibility criteria clearly. Understand customer needs and recommend suitable credit card options. Maintain a positive, convincing, and professional tone during calls. Handle customer objections and queries effectively. Collect required customer details and verify information accurately. Follow compliance and banking guidelines during the sales process. Achieve daily, weekly, and monthly sales targets. Record all call details and updates in the CRM system. Coordinate with the verification and backend team for application processing. Ensure complete documentation and data confidentiality. Maintain a high level of product and process knowledge. Provide excellent customer experience on every call. Attend regular team meetings, training, and performance reviews. Contribute to overall team performance and target achievement.   Job Details: Work Type: Office-based Process: Domestic Voice Process(Out Bound) Work Timings: 9:30 AM to 6:30 PM (Day Shift) Week Off: Fixed Sunday week off(1 Day) Transport: 2Way Point pickup and drop Bus facility Salary: Take Home: 13,000 per month Incentives: up to 50,000/- Based on performance   Skills Required: Good communication in Hindi , English & Telugu Basic computer knowledge Ability to handle customer queries politely and professionally Punctual and disciplined Qualification: Minimum Graduate Freshers are welcome

About the Role This is an exciting software engineer role reporting to the Senior Engineering Manager. You will engineer innovative applications and services using Generative AI GenAI You will work with cutting edge technologies creating new experiences and services Key Responsibilities Engineer well architected efficient scalable stable and secure web applications and backend services with an emphasis on APIs and backend services Develop scalable Generative AI systems that can be used across multiple projects and platforms Stay UpToDate with modern software engineering practices procedures and paradigms and apply this knowledge to software Collaborate with an international engineering and product team Experience Please note that you do not need to qualify for all requirements to be considered We encourage you to apply if you can meet most of the requirements and are comfortable opening a dialogue to be considered Bachelor Masters degree in Computer Science Computer Engineering or related field or equivalent experience Python experience GenAI concepts knowledge JS or similar technologies backend Java NET hyperscale's Google Cloud Azure, AWS and have Python experience Experience working with VCS tools such as GIT Experienced in branching merging and building CICD pipelines Experience with security protocols such as oAuth Microsoft Entra ID SSO Okta and securing applications using them, Experience to development and deployment of applications using Docker Kubernetes. Experience working with varied integration patterns REST SOAP gRPC Web Sockets Batch Webhooks Handson experience creating unit test cases integration test cases perform code reviews, Experience managing version control solutions static code analysis and performing code reviews You have experience with load testing troubleshooting and optimizing performance of web services, Clear communication and excellent problem-solving skills, Enjoy working independently and in a team environment Beneficial Experience Experience using Generative AI software engineering solutions such as Cursor Git, Hub CoPilot, Knowledge of reinforcement learning natural language processing and other advanced AI techniques Experience with cloud based AI services and IaaC such as Terraform and Ansible, You have experience working in large data driven services Experience with Generative AI solutions such as Azure AI Studio AWS Bedrock and Hugging Face

Technical Business Analyst to drive the successful launch of a digital assistant within our IT support Slack channels This role will analyze employee interactions coordinate crossfunctional teams and ensure the delivery of highquality knowledge articles and automated solutions to enhance our IT support experience Key Responsibilities Analyze IT support Slack channels to identify common employee requests pain points and automation opportunities Collaborate with IT teams to design and implement and comprehensive knowledge articles for the digital assistant and support engineering teams with knowledge data to support agentic actionbased solutions Author review and maintain clear concise and accurate knowledge articles to support automated resolutions Coordinate and provide quality control over high volumes of knowledge articles produced by other teams ensuring consistency and accuracy Act as a project coordinator managing timelines deliverables and communication across multiple teams to ensure a smooth digital assistant launch Gather and document business requirements user stories and process flows to inform solution design Monitor digital assistant performance postlaunch analyze feedback and recommend continuous improvements Champion best practices in conversational design user experience and IT support automation Must be able to work under own initiative delivering high quality results in a very fast paced environment oWe have 20 Support channels each with 1000 unique requests per month and we want to launch a highquality digital assistant in a different support channel every month from August 2025 Design and maintain structured knowledge models and metadata frameworks optimized for GenAI and LLM technologies eg RAGbased architectures Core Skills Required Business Analysis Requirements gathering process mapping gap analysis and translating business needs into technical solutions Data Analysis Ability to analyze large volumes of unstructured data eg Slack conversations to identify trends and automation opportunities Technical Documentation Writing editing and maintaining clear and concise knowledge articles and technical documentation Project Coordination Managing timelines deliverables and crossteam collaboration Quality Assurance Reviewing and validating content and solutions for accuracy consistency and effectiveness Stakeholder Management Engaging with diverse teams IT Knowledge Management Digital Experience etc and managing expectations Change Management Supporting adoption and training for new digital assistant solutions Communication Strong verbal and written communication skills for both technical and nontechnical audiences Problem Solving Proactive approach to identifying issues and proposing effective solutions User Experience UX Understanding of conversational design and usercentric solution development AISpecific Skills Required Conversational AI Design Experience designing testing and optimizing chatbot or digital assistant conversations and flows Natural Language Processing NLP Understanding of NLP concepts intent recognition and entity extraction AI Training Tuning Ability to train AI models using realworld data refine intents and improve accuracy over time Bot Frameworks Platforms Familiarity with platforms such as Dialogflow Microsoft Bot Framework IBM Watson or similar Integration Skills Experience integrating digital assistants with ITSM tools eg ServiceNow APIs and knowledge bases Analytics Monitoring Ability to use analytics tools to monitor bot performance user satisfaction and identify areas for improvement Content Governance Understanding of how to structure and govern knowledge for optimal AI consumption and retrieval Security Compliance Awareness of data privacy security and compliance considerations in deploying AI solutions at scale Experience with knowledge management platforms ServiceNow Knowledge Base Confluence SharePoint etc Understanding of AIGenAI technologies particularly related to large language models LLMs and retrievalaugmented generation RAG Strong data organization skills including taxonomies metadata standards and information architecture Attributes Experience for a Senior Highly Experienced Candidate Leadership Demonstrated ability to lead crossfunctional teams and drive largescale digital transformation initiatives Strategic Vision Experience developing and executing a roadmap for digital assistant implementation in a complex organization Change Agent Proven track record of championing new technologies and driving adoption across diverse user groups Depth of Experience 7 years in business analysis IT transformation or digital experience roles with at least 3 years working directly with AI or digi

Role Overview: You will be joining as a Senior Data Scientist at Ray Business Technologies in Hyderabad. Your role will involve utilizing your expertise in Machine Learning, Deep Learning, statistical modeling, data analytics, and algorithmic problem-solving to deliver tailor-made solutions in areas like AI, ERP, CRM, Cloud, and BI services. With a focus on quality and excellence, you will be part of a skilled team of experts dedicated to helping organizations achieve growth and operational efficiency. Key Responsibilities: - Sound knowledge of Machine Learning, Deep Learning, statistical modeling, data analytics, and algorithmic problem-solving. - Ability to build from scratch in R & D. - Hands-on experience with components like DL, Transform model, LLM, NLP, Computer Vision, etc. - Implementation of Deep Learning techniques and Natural Language Processing (NLP) techniques. - Proficiency in OCR technology and inclination towards Mathematics/Statistics. - Familiarity with MS Excel skills, Reporting, object-oriented programming, and Python or R. - Good knowledge of Cloud Technology, specifically on the Azure cloud platform. Qualifications Required: - 4-8 years of experience in a data science or analytics role, with a proven track record of leveraging analytics for business impact. - Excellent communication skills to translate complex findings into actionable insights for non-technical stakeholders. - Strong knowledge of machine learning techniques and experience applying them to real-world problems. - Strong analytical and problem-solving skills with attention to detail. - Experience with cloud platforms like Azure and big data technologies such as Hadoop and Spark is a plus.,

You will be responsible for the following tasks: - Understand the Business Problem and the Relevant Data - Maintain an intimate understanding of company and department strategy - Translate analysis requirements into data requirements - Identify and understand the data sources that are relevant to the business problem - Develop conceptual models that capture the relationships within the data - Define the data-quality objectives for the solution - Be a subject matter expert in data sources and reporting options - Architect Data Management Systems - Leverage understanding of the business problem and the nature of the data to select appropriate data management system (Big Data, OLTP, OLAP, etc.) - Design and implement optimum data structures in the appropriate data management system (GCP, Snowflake, Hadoop, Teradata, SQL Server, etc.) to satisfy the data requirements - Plan methods for archiving/deletion of information - Develop, Automate, and Orchestrate an Ecosystem of ETL Processes for Varying Volumes of Data - Identify and select the optimum methods of access for each data source (real-time/streaming, delayed, static) - Determine transformation requirements and develop processes to bring structured and unstructured data from the source to a new physical data model - Develop processes to efficiently load the transform data into the data management system - Prepare Data to Meet Analysis Requirements - Work with the data scientist to implement strategies for cleaning and preparing data for analysis (e.g., outliers, missing data, etc.) - Develop and code data extracts - Follow best practices to ensure data quality and data integrity - Ensure that the data is fit to use for data science applications Qualifications and Experience: - 5+ years developing, delivering, and/or supporting data engineering, advanced analytics or business intelligence solutions - Ability to work with multiple operating systems (e.g., MS Office, Unix, Linux, etc.) - Experienced in developing ETL/ELT processes using Apache Ni-Fi and Snowflake - Experienced in Cloud based solutions using AWS/AZURE/GCP/Snowflake. - Significant experience with big data processing and/or developing applications and data sources via Spark, etc. - Understanding of how distributed systems work - Familiarity with software architecture (data structures, data schemas, etc.) - Strong working knowledge of databases (Oracle, MSSQL, etc.) including SQL and NoSQL. - Strong mathematics background, analytical, problem solving, and organizational skills - Strong communication skills (written, verbal and presentation) - Experience working in a global, cross-functional environment - Minimum of 2 years experience in any of the following: At least one high-level client, object-oriented language (e.g., C#, C++, JAVA, Python, Perl, etc.); at least one or more web programming language (PHP, MySQL, Python, Perl, JavaScript, ASP, etc.); one or more Data Extraction Tools (SSIS, Informatica etc.) About Micron Technology, Inc.: Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence. With a relentless focus on customers, technology leadership, and operational excellence, Micron delivers a rich portfolio of memory and storage products through the Micron and Crucial brands. For more information, please visit micron.com/careers Please note that Micron prohibits the use of child labor and complies with all applicable laws and industry labor standards. Candidates are encouraged to use AI tools to enhance their resumes, but accuracy is crucial. To verify the authenticity of any communication claiming to be from Micron, please check the official Micron careers website.,

You will be joining P&G, a renowned consumer goods company with a rich history of over 180 years. At P&G, you will have the opportunity to contribute to breakthrough innovations, lead initiatives, and work in creative spaces where new ideas thrive. You will receive continuous mentorship, collaborate with peers, and be part of a dynamic and encouraging work environment that values every individual and promotes work/life balance. **Role Overview:** As a Senior Data/Software Engineer in the Data Quality team of Data & Analytics Core Data Lake Platform, your role will involve leveraging modern Agile and DevOps practices to design, develop, test, and deploy IT systems and applications. You will work on global projects in multinational teams, focusing on enhancing data quality processing. **Key Responsibilities:** - Design, develop, and maintain data quality (DQ) libraries using Python. - Support the design, build, and optimization of data pipelines for data processing and analytics. - Implement data quality metrics monitoring to ensure compliance with data quality dimensions. - Collaborate with data engineers, analysts, and other stakeholders to understand data quality requirements. - Evaluate and integrate open-source libraries for data quality into existing frameworks. - Troubleshoot and resolve data-related issues in a timely manner. - Document processes, data models, and system architecture for knowledge transfer and compliance. - Engineer applications throughout their lifecycle, from development to deployment, upgrade, and replacement/termination. - Ensure that development and architecture align with established standards, including modern software engineering practices like CICD, Agile, and DevOps. **Qualifications Required:** - Self-motivated individual with a strong background in data engineering. - Proficiency in Agile and DevOps practices. - Experience in designing, developing, and deploying IT systems and applications. - Knowledge of data quality frameworks and libraries, particularly in Python. - Ability to collaborate effectively with cross-functional teams. - Familiarity with open-source technologies and modern software engineering standards (Azure, DevOps, SRE). - Strong troubleshooting and problem-solving skills. - Excellent communication and documentation abilities. Join P&G's Data Quality team and contribute to delivering value through innovative data solutions that support the company's global business operations.,

As a Microsoft Azure Data & AI Engineer with expertise in .NET and Python, your role will involve architecting and delivering intelligent solutions using Azure's advanced data and AI capabilities. You will collaborate with globally distributed teams and be responsible for the following key responsibilities: - Designing and implementing scalable data platforms using Azure services such as Azure Data Factory, Synapse Analytics, Data Lake, Azure SQL, and Microsoft Fabric - Developing robust ETL/ELT pipelines and real-time data ingestion workflows using Python and/or .NET - Building and operationalizing AI/ML models using Azure Machine Learning, Cognitive Services, and Azure OpenAI - Integrating ML and data services with enterprise applications via APIs and microservices using Python (FastAPI) or .NET Core - Collaborating with data scientists, solution architects, and business teams to deploy intelligent solutions - Implementing security, compliance, and governance measures for sensitive data across Azure workloads - Setting up and managing CI/CD pipelines with GitHub Actions or Azure DevOps - Monitoring performance, optimizing costs, and ensuring high availability of data and AI platforms In terms of required skills and experience, you should have: - 5+ years of experience with Azure Data Services (Data Factory, Data Lake, Synapse, Azure SQL, Cosmos DB) - Proficiency in Python and .NET Core for data engineering and backend development - Hands-on experience in end-to-end AI/ML pipelines on Azure Machine Learning - Understanding of modern data architectures and unstructured data processing - Exposure to Generative AI tools such as Azure OpenAI and Cognitive Services - Knowledge of Power BI, Microsoft Fabric, and advanced data visualization methods - Experience with SQL, performance tuning, and large-scale data transformations - Familiarity with containerized deployments, DevOps practices, and infrastructure-as-code tools like ARM, Bicep, or Terraform - Deep understanding of RBAC, PII/PHI security, data encryption, and Azure governance Preferred qualifications include Microsoft Certifications (e.g., DP-203, AI-102, AZ-204, AZ-400), knowledge of LangChain, Vector DBs, or RAG pipelines, and experience with Data Mesh, MLOps, or Enterprise AI deployment strategies. In addition to technical skills, soft skills such as strong communication, stakeholder engagement, leadership in technical discussions, and collaboration across time zones will be essential for success in this role. You will also need to be proactive, self-motivated, detail-oriented, and willing to travel occasionally for project needs. Joining this team will offer you a remote-first culture with flexible work arrangements, the opportunity to work on cutting-edge Azure Data & AI projects, cross-industry exposure with global enterprise clients, and a collaborative, innovative, and high-performance team environment.,

You will be working on Python programming language with concepts like Multi-threading, Multi-Processing, Regular Expressions, Exception Handling, etc. You should be familiar with Python libraries such as Pandas, Scikit-Learn, Numpy, NLTK, Scipy, Requests, etc. Your role will involve Data Modelling and Data Transformation, Data Processing on Structured and Unstructured data, as well as working with Relational Databases. Query Optimization, Query building, and experience with ORMs like SQLAlchemy will be part of your responsibilities. Exposure to databases like MSSQL, Postgres, Oracle, etc. will be beneficial. Key Responsibilities: - Strong experience in Python - Proficiency in Python libraries like Pandas, Scikit-Learn, Numpy, NLTK, Scipy, Requests, etc. Qualifications Required: - Functional and Object Oriented Programming (OOPS) - Familiarity with Web services technologies (HTTP, SOAP, REST, XML, JSON) - Knowledge of AWS cloud services: EC2, S3, Batch, ECS, Secret Manager, EMR, etc. The company offers an opportunity to work on bleeding-edge projects, collaborate with a highly motivated and dedicated team, competitive salary, flexible schedule, benefits package including medical insurance, sports, corporate social events, professional development opportunities, and a well-equipped office. Please Note: The above qualifications and responsibilities are indicative and may be subject to change or modification based on business requirements.,

Role Overview: You are a skilled Data Scientist with expertise in machine learning, statistical modeling, and business-focused analytics. Your role involves building predictive models, time-series forecasting, and optimization solutions using Python, SQL, and Azure ML or Databricks. Strong communication skills are essential to translate complex data into clear business insights. Key Responsibilities: - Analyze large, complex datasets to uncover actionable insights for driving business impact. - Design and implement predictive models, especially in areas like customer penetration optimization and regional performance forecasting. - Apply machine learning techniques (supervised and unsupervised learning) to solve critical business problems such as classification, regression, and clustering. - Engineer meaningful features from raw data to optimize model performance. - Conduct exploratory data analysis (EDA) to identify trends, anomalies, and business opportunities. - Conduct feature selection and hyperparameter tuning to enhance model performance. - Validate model results using appropriate statistical and ML evaluation metrics. - Collaborate with data engineers to build and refine robust data pipelines. - Translate insights into clear, actionable strategies by working closely with product, engineering, and business teams. - Utilize visualization tools like Tableau, Power BI, and Google Analytics to communicate insights and model outcomes. - Build models for production deployment using tools like Spring Boot and GitLab. - Consider partner-specific (JV & Wholesale) and regional variations to fine-tune analytics approaches. - Stay updated with ML/AI innovations and suggest tool or process improvements. - Participate in Agile ceremonies and manage tasks using tools such as Jira. - Document methodologies and maintain version control for all modeling projects. Qualification Required: - Bachelor's degree in Computer Science or a related field. - Master's degree or equivalent advanced degree preferred. - Proven track record of delivering data science projects from ideation to production. - Strong communication skills and the ability to tell compelling stories with data. - Comfortable working with both structured and unstructured data sets. Additional Company Details: GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since 2000, GlobalLogic has been pioneering the digital revolution by creating innovative and widely used digital products and experiences. The company collaborates with clients to transform businesses and redefine industries through intelligent products, platforms, and services. GlobalLogic prioritizes a culture of caring, continuous learning and development, interesting and meaningful work, balance and flexibility, and integrity as key values for employees and clients.,

Role Overview: You will be part of the Enterprise Data Platform (EDP) team at Macquarie, responsible for managing Macquarie's Corporate Data Platform. The team supports various business use cases including data science, self-service analytics, operational analytics, and reporting. At Macquarie, you will have the opportunity to work in a global financial services group that values diversity and empowers its employees to shape possibilities. Key Responsibilities: - Drive the delivery of critical platform capabilities using AWS and Kubernetes - Foster collaboration and ensure platform stability - Define technical roadmaps and lead architectural decisions - Design, develop, and deploy new capabilities for Macquarie's Corporate Data Hub Platform - Enhance automation, CI/CD pipelines, and monitoring practices - Champion security, compliance, and risk management across the platform Qualifications Required: - 7+ years of enterprise experience as a Cloud/DevOps/Data Engineer, including leadership roles - Expertise in AWS cloud platforms, Kubernetes, and Big Data processing technologies (e.g., Hive, Spark, Starburst Presto) - Strong scripting skills (e.g., Python, Bash) and experience in Agile/DevOps environments - Deep architectural and design pattern experience with a proven ability to build consensus and drive technical decisions - A proactive approach to production stability, cost management, and platform improvements Additional Details: Macquarie offers a wide range of benefits to its employees, including wellbeing leave, paid maternity and parental leave, childcare services, paid volunteer leave, and benefits to support physical, mental, and financial wellbeing. The company also provides access to learning and development opportunities, hybrid and flexible working arrangements, and reimbursement for work from home equipment. Technology plays a crucial role at Macquarie, enabling every aspect of the organization and focusing on accelerating the digital enterprise. The company is committed to diversity, equity, and inclusion, providing reasonable adjustments to individuals who may need support during the recruitment process and through working arrangements.,

**Job Description:** As a Senior Data Engineer & Architect, your role involves designing and implementing enterprise-grade Data Lake solutions on AWS. You will need expertise in big data processing, ETL, AWS cloud technologies, security, and data governance to drive scalable data solutions. Your passion for building high-performance data architectures and collaborating with cross-functional teams will be key in solving complex data challenges. **Key Responsibilities:** - Design & implement Data Lake solutions using AWS (S3, Glue, Lake Formation). - Define data architecture patterns and best practices for large-scale data ingestion, storage, compute, and processing. - Optimize cloud infrastructure for performance, scalability, and cost-effectiveness. - Develop and maintain ETL pipelines using AWS Glue or similar tools. - Manage Data Warehousing solutions with Redshift, Athena, and other AWS services. - Ensure high data quality, governance, and security through encryption, access controls, and compliance. - Design and deploy dashboards & visualizations using Tableau, Power BI, or Qlik. - Collaborate with business stakeholders to define key metrics and deliver actionable insights. - Lead compliance audits & security implementations such as HIPAA, IAM policies, and KMS encryption. - Work closely with Data Scientists, Analysts, and DevOps teams to enhance data operations. - Mentor junior engineers and provide technical guidance. **Qualifications & Skills Required:** - 10+ years of experience in Data Engineering & Architecture. - Strong hands-on expertise in AWS Data Lake, Redshift, Glue, Athena, Lambda, Step Functions, IAM, and S3. - Advanced skills in SQL (Cloud SQL, Aurora, Postgres), NoSQL (DynamoDB, MongoDB, Cassandra), Python, Spark, or Scala. - Experience with real-time streaming applications (Spark Streaming, Kafka, or similar). - Knowledge of data security (Lake Formation, IAM, KMS, Secrets Manager). - Hands-on experience with modern Data Warehousing & Lakehouse architectures. - Familiarity with CI/CD pipelines, version control (Git), and DevOps methodologies. - Strong understanding of Agile and Scrum methodologies. (Note: Any additional details of the company are not provided in the Job Description),

A processing officer handles administrative and operational tasks, such as processing applications, verifying data, and managing documents to ensure accuracy and efficiency. Key responsibilities include data entry, quality checks, customer service, and coordinating with internal and external stakeholders to resolve queries and complete tasks within set timelines. This role requires strong attention to detail, organizational skills, and communication abilities, often using software like MS Office to manage tasks and maintain records   Data entry and management: Inputting and processing data from documents into various systems and databases with high accuracy. Quality assurance: Performing quality checks on data and entries to ensure accuracy and adherence to standard operating procedures. Application processing: Reviewing and processing applications and requests, such as account opening, loan applications, or purchase orders, according to established procedures and priorities. Customer service: Handling customer inquiries and requests, providing information, and resolving issues in a professional and timely manner. Document handling: Organizing, filing, scanning, and distributing both hardcopy and electronic documents securely. Coordination: Collaborating with internal teams, departments, and external partners to gather information, clarify details, and ensure smooth workflows. Reporting and improvement: Generating reports on processed tasks and providing suggestions for process improvements. Compliance: Ensuring all processing activities adhere to internal policies and external regulations.   Technical skills organizational skills Strong communication skills Problem-solving Time management Attention to detail

We are looking for an experienced and motivated Chief Operating Officer (COO) to oversee the companys daily operations and drive business growth. The COO will work closely with the CEO and senior management to plan, lead, and coordinate all business activities. The ideal candidate will have strong leadership skills, a strategic mindset, and the ability to ensure operational excellence across departments.Responsibilities    Manage day-to-day business operations and ensure efficiency in all departments.    Develop and implement business strategies to achieve company goals.    Monitor performance, budgets, and KPIs to ensure growth and profitability.    Support and guide department heads to meet organizational objectives.    Build and maintain a positive company culture focused on teamwork and accountability.    Identify process improvements and drive operational excellence.    Ensure compliance with company policies and legal requirements.    Report regularly to the CEO and board on operational performance.Requirements    Bachelors degree in Business Administration or a related field (MBA preferred).    Minimum 10 years of experience in operations or senior management roles.    Strong understanding of business functions such as finance, HR, and sales.    Excellent leadership, problem-solving, and communication skills.    Ability to make data-driven decisions and manage multiple priorities.Key SkillsOperations Management, Business Strategy, Leadership, Team Management, Budget Planning, Performance Monitoring, Process Improvement, Decision Making.Why Join Us    Be part of a growing and dynamic organization.    Opportunity to work directly with top leadership.    Competitive salary, performance incentives, and career growth opportunities.    Supportive and collaborative work environment.

Role Overview: You will be working as a Data Solutions Architect at Amgen, responsible for designing, implementing, and optimizing scalable and high-performance data solutions to support enterprise analytics, AI-driven insights, and digital transformation initiatives. Your role will involve focusing on data strategy, architecture, governance, security, and operational efficiency to ensure seamless data integration across modern cloud platforms. You will collaborate closely with engineering teams, business stakeholders, and leadership to establish a future-ready data ecosystem. Key Responsibilities: - Design and implement scalable, modular, and future-proof data architectures for enterprise data lakes, data warehouses, and real-time analytics. - Develop enterprise-wide data frameworks to enable governed, secure, and accessible data across various business domains. - Define data modeling strategies to support structured and unstructured data, ensuring efficiency, consistency, and usability across analytical platforms. - Lead the development of high-performance data pipelines for batch and real-time data processing, integrating APIs, streaming sources, transactional systems, and external data platforms. - Optimize query performance, indexing, caching, and storage strategies to enhance scalability, cost efficiency, and analytical capabilities. - Establish data interoperability frameworks to enable seamless integration across multiple data sources and platforms. - Drive data governance strategies, ensuring security, compliance, access controls, and lineage tracking are embedded into enterprise data solutions. - Implement DataOps best practices, including CI/CD for data pipelines, automated monitoring, and proactive issue resolution to improve operational efficiency. - Lead Scaled Agile (SAFe) practices, facilitating Program Increment (PI) Planning, Sprint Planning, and Agile ceremonies to ensure iterative delivery of enterprise data capabilities. - Collaborate with business stakeholders, product teams, and technology leaders to align data architecture strategies with organizational goals. - Act as a trusted advisor on emerging data technologies and trends to ensure the adoption of cutting-edge data solutions for competitive advantage and long-term scalability. Qualification Required: - Doctorate Degree with 6-8 + years of experience in Computer Science, IT, or related field - OR Masters degree with 8-10 + years of experience in Computer Science, IT, or related field - OR Bachelors degree with 10-12 + years of experience in Computer Science, IT, or related field - Must have skills in data architecture, enterprise data management, and cloud-based analytics solutions - Expertise in Databricks, cloud-native data platforms, and distributed computing frameworks - Strong proficiency in modern data modeling techniques, including dimensional modeling, NoSQL, and data virtualization - Experience in designing high-performance ETL/ELT pipelines and real-time data processing solutions - Deep understanding of data governance, security, metadata management, and access control frameworks - Hands-on experience with CI/CD for data solutions, DataOps automation, and infrastructure as code (IaaC),

As a potential candidate for this role, you should hold a Bachelor's or Master's degree in Computer Science or Software Engineering. Your proficiency in programming languages such as Python, Java, and C++, as well as your understanding of data structures and algorithms, will be crucial for excelling in this position. Key Responsibilities: - Demonstrating knowledge in Biometric Data Processing - Conducting Data Analysis and Interpretation effectively Qualifications Required: - Bachelor's or Master's degree in Computer Science or Software Engineering - Proficiency in programming languages (e.g., Python, Java, C++) - Strong grasp of data structures and algorithms Please note that this is a full-time job that requires your presence in the office. Additionally, you can benefit from cell phone reimbursement, health insurance, day shift schedule with weekend availability, and performance bonuses. The application deadline for this position is 03/06/2025, with an expected start date of 01/06/2025.,

As the Data Practice Head at our company, you will play a pivotal role in shaping and implementing our data strategy, fostering innovation, and establishing a high-performing data practice. Your role will require you to possess visionary leadership qualities along with a profound understanding of data management, analytics, and AI/ML technologies, complemented by a robust business acumen to align data endeavors with organizational objectives. It is imperative that you demonstrate proficiency in designing, developing, and delivering data solutions across the board. Key Responsibilities: - Define and execute the overarching strategy for the Data Practice in alignment with business goals. - Drive the adoption of modern data platforms, tools, and technologies to elevate organizational capabilities. - Establish and lead a proficient team of data professionals, comprising data engineers, analysts, and data scientists. - Develop best practices, frameworks, and methodologies for effective data management, analytics, and governance. - Conduct training programs to enhance the skills of team members and promote innovation within the practice. - Collaborate with sales and delivery teams to devise data-centric solutions for clients. - Engage with stakeholders to comprehend their business challenges and craft customized data-driven strategies. - Keep abreast of emerging trends and technologies in the data and analytics domain. - Advocate for the integration of advanced analytics, AI, and machine learning solutions to address intricate business issues. - Leverage your extensive experience in data management, analytics, and leadership to drive the practice forward. - Demonstrate a proven track record in establishing and expanding data practices in consulting or enterprise settings. Qualifications Required: - Hands-on experience with data platforms such as AWS, Azure, and GCP, ETL tools, data lakes, and warehouses. - Proficiency in advanced analytics, AI/ML, and visualization tools like Python, R, Tableau, and Power BI. - Familiarity with Database Technologies including Snowflake, Oracle, MySQL, PostgreSQL, Azure SQL, SQL Server, Synapse, HDFS, Hive, and HBase (NoSQL). - Proficiency in data processing tools and frameworks such as Kafka, Kafka Streams, Azure Data Factory, Azure Data Bricks, Power BI, and Tableau. - Strong people management skills, with a background in mentoring and developing teams. - Ability to translate intricate data concepts into actionable business insights. - Excellent communication and stakeholder management abilities. - Strong problem-solving and strategic thinking skills. Work Mode: Hybrid (3 days from office),

Job Description You will be joining Clean Harbors Inc., a NYSE-listed $6.0 billion company founded in 1980 by Mr. Alan S. McKim, providing premier environmental, energy, and industrial services across the U.S., Canada, and Mexico. As a Data Entry Executive at Clean Harbors India - the Global Capability Center (GCC), you will play a crucial role in maintaining the speed and accuracy of data entered, resolving issues, and ensuring correct information capture for all entries. Key Responsibilities - Prioritize daily workflow and maintain speed and accuracy of data entered. - Identify problem worksheets and communicate with the data entry Team Leader to resolve issues. - Follow up on problems to ensure resolution. - Collaborate with department personnel to ensure accurate information capture. - Analyze and understand scanned images for accurate billing structure. - Meet billing deadlines and work prescribed shifts, including weekends. - Access scanned images and comprehend the scanning process. - Learn various custom data required by service centers/customers. Qualifications - Qualification: Any graduate - 0-3 years of experience. - Detail-oriented with the ability to work under pressure and meet deadlines. - Proficient in recognizing missing or conflicting information. - Strong communication and customer service skills. - Effective problem-solving abilities. (Note: Additional details about the company were not found in the provided job description.),

As a Clinical Data Associate / Clinical Data Coordinator at Imaging Endpoints, your role involves conducting all clinical data management activities for each assigned clinical study. This includes coordinating with study team members, management, and clients to complete work as detailed in the clients" work order. You will be responsible for maintaining audit readiness by ensuring study-related documents are in the study eTMF in a timely manner, effectively communicating project status to internal and external stakeholders, and conducting clinical data management activities per relevant standard operating procedures and work instructions as directed by management. Additionally, you will perform data processing of project data, such as conducting quality control review and entering data into electronic data capture systems. Responsibilities: - Assist in processing radiological images received for client projects in accordance with standard operating procedures. - Enter clinical trial data into data collection tools. - Conduct quality control review of clinical trial data. - Conduct data review of CRFs, eCRFs, reports, or data listings. - Generate, track, and close queries for images, reports, CRFs, eCRFs. - Conduct data/image transfers. - Monitor radiology readers for applicable on-site reads. - Track conduct of DE/QC activities. - Generate and/or quality control review Diagnostic and Summary Reports. - Support data analysis activities. - Support database lock activities. - Support study closeout and reconciliation activities. - Conduct UAT activities for data collection and transfer systems/tools. - Maintain both paper and electronic project files in accordance with standard operating procedures. - Advocate compliance with all standard operating procedures. - Contribute to the generation of Study Specific Procedures (SSPs). - Contribute to the generation of study-specific reports. - Contribute to the generation of study-specific data collection tools/databases. - Assist Clinical Data Managers with any requested task. - Assist with training and monitoring of Clinical Data Coordinator I. - Update appropriate study team members and management with task, deliverable, and project statuses. Qualifications: - Bachelor's Degree required or equivalent combination of education and relevant work experience. - At least 1 year of prior clinical data management experience required. - Intermediate knowledge of analysis software such as SAS preferred. - Understanding of database development, especially electronic data capture systems used in clinical trials. - Knowledge of Good Clinical Practices. - Working knowledge of medical terminology required. - Knowledge of clinical trials and/or healthcare industries required. - Expertise in using MS Office and internet applications required. Imaging Endpoints is dedicated to revolutionizing imaging science and technology to bring curative technologies to humankind. Join our global team and contribute to advancing clinical trials and helping patients in need.,