Job Title: Machine Learning Engineer Location: Remote | Full-Time We are seeking a Machine Learning Engineer to design and deploy scalable ML pipelines using Azure and Snowflake. You will collaborate with data scientists, productionize models, and manage full ML lifecycles in cloud environments. Key Responsibilities: Build end-to-end ML pipelines: data ingestion, training, validation, deployment. Collaborate with data scientists to integrate models into production Use Azure ML, Data Factory, and Snowflake for pipeline orchestration Optimize ML models for performance and scalability Monitor, maintain, and improve deployed models Write clean, maintainable Python code and follow best practices Review code and mentor junior team members Must-Have Skills : Strong experience building & deploying ML pipelines Proficiency in Azure ML, ADF, and Snowflake Solid Python skills with ML libraries (scikit-learn, TensorFlow, etc.) Understanding of ML algorithms, evaluation, and tuning Familiarity with Git, CI/CD, and cloud-based workflows Preferred Qualifications: Experience with MLOps tools and practices Knowledge of Docker, Kubernetes Excellent problem-solving and communication skills .
please attach your upated resume if interested on the below role Job Title: Associate / Data Analyst / Sr. Data Analyst Function: Data & Analytics Location: Gurgoan DLF Cyber Hub Experience Required: 3to5 years for Sr. Data Analyst About the Role We are seeking highly motivated individuals for the position of Associate Data Analyst / Data Analyst / Sr. Data Analyst to join our global Data & Analytics team. You will work on high-impact projects, collaborating with cross-functional departments like Marketing, Merchandising, Technology, and Business Units to deliver analytical solutions that drive business performance. This is an excellent opportunity to work in a fast-paced, data-driven environment and make a measurable impact through insights and automation. Key Responsibilities Data & Insights Clean, process, and analyze large datasets to ensure data quality and consistency Identify trends and patterns to provide actionable business insights Create business requirement documents, use cases, user stories, and test cases for analytics projects Design and build impactful dashboards and data visualizations using BI tools Provide ad-hoc data analysis and reports for leadership Operational Excellence Improve data quality through automation and validation tools Develop user-centric dashboards and analytical solutions Benchmark industry practices to create business performance improvement strategies Stakeholder Management Collaborate with data engineers, consultants, and cross-functional teams throughout the analytics lifecycle Communicate insights and complex data concepts to non-technical stakeholders Prepare and maintain comprehensive documentation of analytics solutions Share key learnings across teams to enhance overall data maturity Desired Candidate Profile Education Bachelors Degree in Computer Science, Information Management, Statistics, or a related technical field Technical Skills Strong knowledge of SQL, Python, PySpark Experience with data visualization tools like Power BI, Tableau, Alteryx Understanding of statistical modeling, time series analysis Experience with relational (MySQL, MS SQL) and non-relational (MongoDB, DynamoDB) databases Familiarity with cloud platforms (Azure, AWS, GCP) for analytics Soft Skills Strong analytical and problem-solving skills Excellent communication and stakeholder management Agile and innovative mindset Focus on delivery excellence
Qualifications: Bachelors or Master’s degree in Computer Science, Engineering, or related field. 7–9 years of data engineering experience with strong hands-on delivery using ADF, SQL, Python, Databricks, and Spark. Experience designing data pipelines, warehouse models, and processing frameworks using Snowflake or Azure Synapse. Proficient with CI/CD tools (Azure DevOps, GitHub) and observability practices. Solid grasp of data governance, metadata tagging, and role-based access control. Proven ability to mentor and grow engineers in a matrixed or global environment. Strong verbal and written communication skills, with the ability to operate cross-functionally. Certifications in Azure, Databricks, or Snowflake are a plus. Preferred Skills: Strong knowledge of data engineering concepts (data pipeline creation, data warehousing, data marts/cubes, data reconciliation and audit, data management). Working knowledge of DevOps processes (CI/CD), Git/Jenkins version control tools, Master Data Management (MDM), and data quality tools. Strong experience in ETL/ELT development, QA, and operations/support processes (RCA of production issues, code/data fix strategy, monitoring and maintenance). Hands-on experience with databases like Azure SQL DB, Snowflake, MySQL, Cosmos DB, Blob Storage, Python/Unix Shell scripting. ADF, Databricks, and Azure certifications are a plus. Technologies We Use: Databricks, Azure SQL DW/Synapse, Snowflake, Azure Tabular, Azure Data Factory, Azure Functions, Azure Containers, Docker, DevOps, Python, PySpark, scripting (PowerShell, Bash), Git, Terraform, Power BI Responsibilities: Design, develop, and maintain scalable pipelines across ADF, Databricks, Snowflake, and related platforms. Lead the technical execution of non-domain-specific initiatives (e.g., reusable dimensions, TLOG standardization, enablement pipelines). Architect data models and reusable layers consumed by multiple downstream pods. Guide platform-wide patterns like parameterization, CI/CD pipelines, pipeline recovery, and auditability frameworks. Mentor and coach team members. Partner with product and platform leaders to ensure engineering consistency and delivery excellence. Act as an L3 escalation point for operational data issues impacting foundational pipelines. Own engineering best practices, sprint planning, and quality across the Enablement pod. Contribute to platform discussions and architectural decisions across regions.
Key Responsibilities Analytics (Data & Insights): Analyze category and activity performance using advanced analytics methods. Deliver actionable insights using transactional, financial, and customer data. Design and measure experiments and pilots. Lead projects in clustering, forecasting, and causal impact analysis. Build intuitive dashboards to represent insights effectively. Operational Excellence: Improve data quality with automation tools. Develop analytical solutions and dashboards using user-centric design. Benchmark against industry standards and enhance business performance. Stakeholder Management: Collaborate with consultants, engineers, and cross-functional teams. Communicate complex insights in an understandable format. Create clear documentation linking business needs to data solutions. Promote a data-driven culture and share learnings across teams. Qualifications & Experience Education: Bachelors degree in Finance, Mathematics, Statistics, Engineering, or a related analytical discipline. Experience: 7+ years in a data analytics or quantitative role. Experience with Python, SQL, Spark, and handling large data volumes. Experience leading projects or small teams. Strong communication skills (English). Behavioral Competencies: Delivery excellence Innovation and agility Business acumen Social intelligence Technical Knowledge & Tools Retail, Supply Chain, Marketing, Customer Analytics Statistical Modeling & Time Series Analysis Python, PySpark, R MySQL, Microsoft SQL Server Power BI Azure, AWS, GCP
Job Requirements Education: Bachelors degree (Statistics, Business Analytics, Data Science, Math, Economics, etc.) Masters degree preferred (MBA/MS/M.Tech in Computer Science or related field) Experience: 5–7 years in a Data Science/Advanced Analytics role Behavioral Skills: Delivery Excellence Business Orientation Social Intelligence Innovation and Agility Knowledge & Technical Skills: Functional analytics experience (Supply Chain, Marketing, Customer Analytics, etc.) Statistical modeling using tools such as R, Python, KNIME Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference) Experience building and evaluating machine learning models MLOps tools and practices (MLflow, DVC, Docker, etc.) Strong Python programming (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.) Experience with big data technologies (AWS, Azure, GCP, Hadoop, Spark) Familiarity with relational (MySQL, SQL Server) and non-relational (MongoDB, DynamoDB) databases BI and reporting tools (Power BI, Tableau, Alteryx) Proficiency with Microsoft Office applications (especially Excel) Roles & Responsibilities Analytics & Strategy: Analyze large-scale structured and unstructured data to develop insights and machine learning models across various business domains Apply statistical and machine learning techniques to generate value from operational, financial, and customer data Recommend best-fit algorithms and models with clear justifications for business use Leverage cloud platforms for modeling and big data analysis; utilize data visualization tools to communicate results Operational Excellence: Follow industry-standard coding practices and development lifecycles Formulate hypotheses, develop analytics frameworks, and bring structure to complex problems Collaborate with Data Engineering to maintain core data infrastructure and automate analytical processes Stakeholder Engagement: Work cross-functionally with business stakeholders, engineers, and visualization experts to deliver impactful projects Communicate complex models and results to non-technical stakeholders in a clear and compelling way
Job Title: Senior Full Stack Developer Job Location : Remote Job Type: Contract Period - 9 months Top Skills: Python/Javascript/Python ML Frameworks/AWS/Kubernates -K8s. Familiarity with Rust/Svelte is a bonus. Job Description: We're seeking a mid-level to senior full-stack developer with strong expertise in Python and JavaScript (4-6years experience). The ideal candidate should be comfortable using modern AI tools to speed up development workflows. Key job requirements include: - Async-first Python development - Strong JavaScript skills. - Solid understanding of Python ML frameworks - Experience with AWS and Kubernetes (K8s) - Ability to balance speed with long-term maintainability - Familiarity with Rust/Svelte is a bonus. Interview Rounds: 1. AI Interview Round conducted by Zinterview. 2. Technical Round - 1 3. Technical Round with Client - 1 4. HR Round Thanks & Regards Sachin Kumar Bhosle Senior Talent Acquisition lead Riktam Technology Consulting Pvt. Ltd. Tel.+91 9966970970 (India)
Our client is a fast-growing organization based in Hyderabad, actively transforming how businesses engage with customers across sectors such as banking, healthcare, real estate, and technology. With a strong focus on driving revenue through strategic sales execution and client-centric solutions, the company is known for its agile approach and field-driven impact. They pride themselves on combining data-backed decision-making with hands-on market experience to deliver measurable growth for their clients. The work culture emphasizes performance, ownership, and long-term relationship building. This is a great opportunity for professionals who thrive in dynamic environments and are eager to contribute to a results-oriented sales function on the ground. Job Title: FieldSales Executive Location: Hyderabad Experience: 2-3 Min. years in sales, business development, or a related field Industry: Any (Bank, Healthcare, Real Estate, It Sales knowledge if they Excellent) Role Overview: The Sales Lead will be responsible for driving revenue growth by identifying new business opportunities, building strong client relationships, and leading the sales team. This role requires strategic thinking, strong negotiation skills, and a results-driven approach to meet and exceed sales targets. Key Responsibilities: Develop and implement sales strategies to achieve business goals. Identify and pursue new business opportunities, partnerships, and markets. Lead and mentor the sales team to drive performance and productivity. Build and maintain strong relationships with clients and stakeholders. Monitor market trends, competitor activities, and customer needs. Prepare and present sales reports, forecasts, and performance metrics. Collaborate with marketing, operations, and product teams to optimize sales strategies. Ensure customer satisfaction and long-term retention through excellent service. Required Skills & Qualifications: Bachelors degree in Business, Marketing, or a related field (preferred). Proven experience in sales, business development, or account management. Strong leadership and team management skills. Excellent communication, negotiation, and presentation skills. Ability to Analyse data and market trends to drive decision-making. Proficiency in CRM software and sales tools. Job Type: Full-time Pay: 25,000.00 - 30,000.00 per month Benefits: Provident Fund Schedule: Day shift Supplemental Pay: Overtime pay Performance bonus Work Location: In person
Role & responsibilities Were looking for a Full Stack Developer with solid expertise in React.js and Node.js to build and maintain scalable web applications. You’ll work across front-end and back-end, collaborating with cross-functional teams to deliver high-quality, secure, and efficient solutions. Responsibilities: Develop and maintain applications using React.js and Node.js/Express . Build and optimize APIs (REST/GraphQL). Work with databases ( MongoDB, PostgreSQL, MySQL ). Ensure performance, security, and code quality through reviews and testing. Contribute to CI/CD, deployments, and cloud-based solutions. Requirements: 3–6 years in full stack development. Proficient in JavaScript/TypeScript . Strong knowledge of React.js, Node.js, Express.js . Hands-on experience with SQL/NoSQL databases . Familiar with Git, API security, and testing frameworks. Cloud/DevOps exposure (AWS/Azure/GCP, Docker) a plus. Soft Skills: Strong problem-solving and debugging skills. Good communication and teamwork. Ability to work independently and in agile environments.
Job Title: Data Analyst / Associate Data Analyst Experience: 1-5 yrs Job location: DLF Cyber Hub Gurugram Work Mode: 5 Days (WFO) Job Type: Full time Interview Rounds: 4 Notice Period: Max 30 days Roles & Responsibilities Analytics (Data & Insights) Clean and organize large datasets for analysis and visualization using statistical methods; verify and ensure accuracy, integrity, and consistency of data Identifying trends and patterns in data and using this information to drive business decisions Create the requirement artefacts e.g., Functional specification document, use cases, requirement traceability matrix, business test cases and process mapping documents, user stories for analytics projects Build highly impactful and intuitive dashboards that bring the underlying data to life through insights Generate ad-hoc analysis for leadership to deliver relevant, action-oriented, and innovative recommendations. Operational Excellence Improve data quality by using and improving tools to automatically detect issues Develop analytical solutions or dashboards using user-centric design techniques in alignment with ACTs protocol Study industry/organization benchmarks and design/develop analytical solutions to monitor or improve business performance across retail, marketing, and other business areas. Stakeholder Management Work with high-performing Functional Consultants, Data Engineers, and cross-functional teams to lead / support the complete lifecycle of visual analytical applications, from development of mock-ups and storyboards to complete production ready application Provide regular updates to stakeholders to simplify and clarify complex concepts, and communicate the output of work to business Create compelling documentation or artefacts that connects business to the solutions Coordinate internally to share key learning with other teams and lead to accelerated business performance Behavioral Skills Delivery Excellence Business disposition Social intelligence Innovation and agility Knowledge Functional Analytics (Retail Analytics, Supply Chain Analytics, Marketing Analytics, Customer Analytics, etc.) Working understanding of Statistical modelling using Analytical tools (Python, PySpark, R, etc.) Enterprise reporting systems, relational (MySQL, Microsoft SQL Server, etc.), and non-relational (MongoDB, DynamoDB) database management systems Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.) Cloud computing services in Azure/AWS/GCP for analytics Education Bachelor’s degree in computer science, Information Management or related technical fields Experience 1-5 years for Data Analyst Relevant working experience in a quantitative/applied analytics role Experience with programming and the ability to quickly pick up handling large data volumes with modern data processing tools, e.g. by using Spark / SQL / Python
Job Title: Power Bi Architect Experience: 5+ Job location: DLF Cyber Hub Gurugram Work Mode: 5 Days (WFO) Job Type: Full time Interview Rounds: 4 Notice Period: Max 30 days Bachelors degree in computer engineering, Computer Science, Data Analytics, or related field. 7+ years of experience in BI engineering or data analytics, and in advance SQL Programming. 2+ Years of proven experience in BI governance including BI administration, metadata management, and data quality frameworks. Strong hands-on experience with Microsoft Power BI (including Power Query, DAX, dataflows, etc.). In-depth knowledge of relational database design, data warehousing and dimensional data modeling concepts. Also, self-starter and motivated with ability to work in a fast-paced development environment. Strong hands-on experience with Python/Spark scripting and shell (Unix/Linux) scripting. Familiarity with data warehousing concepts and cloud data platforms (Azure, Snowflake, etc.) and their services like Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Azure SQL DW/Synapse. Excellent communication and stakeholder management skills with Strong analytical abilities. Proficiency across the environments, including DevOps, database server, GIT, Continuous Integration, unit testing tool, and defect management tools. Responsibilities - • Design and architect scalable and high-performance BI solutions to support reporting, analytics, and report integration needs. • Define and implement BI architecture standards, best practices, and governance principles. • Evaluate, select, and integrate BI tools and technologies (e.g., Power BI, Tableau, Looker, Qlik, etc.). • Set up and manage Power BI workspace permissions, usage monitoring, and security roles (Row Level Security, etc.) with RBAC and managing licensing costs by ensuring governance compliance. • Ensure report quality, consistency, and security across BI platforms and provide mentorship to analysts. • Lead the design and development of data models (star/snowflake schemas) and data warehouse structures for the reporting purposes. • Having great hold on the report definitions, lineage, and documentation across the BI landscape. • Collaborate with business stakeholders and other technical team members, also monitor and enforce reporting quality standards across BI functions. • Write custom scripts to extract data from structured/semi-structured sources from data warehouse or BI Cubes or from Snowflake. Skilled in deployment, report consolidation, and enhancing report usability. • Provide clear documentation for delivered solutions and processes, integrating documentation with the appropriate corporate stakeholders. • Optimize DAX queries and Power BI performance for scalability and responsiveness. Preferred Skills - • Microsoft Certified: Data Analyst Associate or equivalent Power BI certification. • Experience with tools like Microsoft Purview, Alation, Collibra, or similar governance platforms. • Hands-on experience with Microsoft Power BI (including Power Query, DAX, dataflows, etc.). • Knowledge of data governance, data security, and compliance standards. • Working Knowledge of Dev-Ops processes (CI/CD), Azure DevOps, Git/Jenkins version control tool, Power BI Administration, Data Quality tools, regulatory data compliance standards (e.g., GDPR, HIPAA). • Hands-on experience in extracting data from databases like (Azure SQL DB, MySQL/, Cosmos DB etc.), Python/Unix shell Scripting. • Experience with agile methodologies and project management tools (e.g., Jira, Confluence). Technologies we use: Power BI, Databricks, Python, PySpark, Scripting (Power shell, Bash), Azure SQL DW/Synapse, Azure Tabular/Cubes, Azure DevOps, Git, Terraform, Snowflake
Job Title: Power Bi Developer Experience: 3-5 yrs Job location: DLF Cyber Hub Gurugram Work Mode: 5 Days (WFO) Job Type: Full time Interview Rounds: 4 Notice Period: Max 30 days Qualifications: Bachelors degree in computer engineering, Computer Science, Data Analytics, or related field. 3-4 years of experience in BI engineering or data analytics and advanced SQL Programming like PL/SQL. Strong hands-on experience with Microsoft Power BI (including Power Query, DAX, dataflows, etc.). In-depth knowledge of report design, development and maintenance, data extraction from DWH and cubes layer and dimensional data modeling concepts. Strong hands-on experience with Python/Spark scripting and shell (Unix/Linux) scripting. Familiarity with data warehousing concepts and cloud data platforms (Azure, Snowflake, etc.) and their services like Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Azure SQL DW/Synapse. Excellent communication and stakeholder management skills with Strong analytical abilities. Self-starter and motivated with ability to work in a fast-paced development environment. Proficiency in the development environment, including IDE, database server, GIT, Continuous Integration, unit-testing tool, and defect management tools. Responsibilities: • Design, develop, and deploy Power BI dashboards, reports, and data models. • Support and monitor the existing reports in maintenance with clear documentation. • Optimize DAX queries and Power BI performance for scalability and responsiveness. • Automate the existing reports by removing manual steps and adhere reporting best practices. • Supports in analyzing reports, admin activities, usage monitoring, and licensing costs optimization. • Write custom scripts to extract data from unstructured/semi-structured sources from data warehouse or BI Cubes or from Snowflake. • Skilled in dashboard deployment, report consolidation, and enhancing report usability for end users. • Work with data engineers to define and validate data from the data sources for Power BI consumption. • Collaborate with business stakeholders to define KPIs and build self-service BI tools. • Proactive and clear communication about the report status with the stakeholders. • Provide Power BI training, support, and up to date documentation for business users and conduct KT sessions for the junior resources to guide and mentor them. Preferred Skills: • Microsoft Certified: Data Analyst Associate or equivalent Power BI certification. • Hands-on experience with Microsoft Power BI (including Power Query, DAX, dataflows, etc.). • Basic understanding of reporting governance and Power BI administration. • Working Knowledge of Dev-Ops processes (CI/CD), Azure DevOps, Git/Jenkins version control tool, reporting and maintenance of BI reports and SQL scripting. • Hands-on experience in extracting data from databases like (Azure SQL DB, MySQL/, Cosmos DB etc.), SharePoint, Python/Unix shell Scripting. Technologies we use : Power BI, Databricks, Python, PySpark, Scripting (Power shell, Bash), Azure SQL DW/Synapse, Azure Tabular/Cubes, Azure DevOps, Git, Terraform, Snowflake
Job Title: Data Scientist Experience: 3-5 yrs Job location: DLF Cyber Hub Gurugram Work Mode: 5 Days (WFO) Job Type: Full time Interview Rounds: 4 Notice Period: Max 30 days Education: Bachelors degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.) Masters degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc. Relevant Experience: 3 - 4 years for Data Scientist Relevant working experience in a data science/advanced analytics role . Behavioral Skills: Delivery Excellence Business disposition Social intelligence Innovation and agility Knowledge: Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics, etc.) • Statistical modelling using Analytical tools (R, Python, KNIME, etc.) Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference) • Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference. • Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.) • Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.) • Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.) • Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools • Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.) • Microsoft Office applications (MS Excel, etc.) Roles & Responsibilities Analytics & Strategy 1. Analyse large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business 2. Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data 3. Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions 4. Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional data Operational Excellence 1. Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project 2. Structure hypothesis, build thoughtful analyses, develop underlying data models and bring clarity to previously undefined problems 3. Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analyses Stakeholder Engagement 1. Working collaboratively across multiple sets of stakeholders Business functions, Data Engineers, Data Visualization experts to deliver on project deliverables 2. Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats
Job Title - Solution Architect (Finance) Experience - 15+ years Job Location - Bangalore Solution Architect will lead the technical and functional design for Order-to-Cash (O2C) and Record-to-Report (R2R) modules across multiple European regions. This role focuses on Oracle ERP (EBS 12.1.4) modulesparticularly General Ledger, Payables, Receivables, Fixed Assets, Order Management, Warehouse Management, and Inventory. The architect will drive solution delivery, define scalable designs, support integrations, and contribute to transformation initiatives across a Pan-European landscape. Key Responsibilities Serve as the primary point of contact in Europe for all technical integrations with internal and external partners. Manage O2C technical and functional design using established methodologies and tools. Lead discussions and deliverables across stakeholders to ensure alignment with business and IT requirements. Support the entire O2C/R2R solution landscape, ensuring consistency and sustainability of designs. Collaborate with IT Solution Owners and Business Process Owners to design reusable, scalable solutions. Provide end-to-end solution support, including contributing to functional specifications, supporting development activities, integration testing, and solution implementation. Work independently while contributing effectively as part of a distributed, multicultural team. Participate in occasional travel for business meetings. Embody organizational culture and values while working towards shared goals. Required Experience & Skills Bachelors or Masters degree in Information Technology or a related field. 12+ years of experience in service-oriented IT architecture and enterprise integration patterns. Strong functional and technical knowledge of O2C modules (Order Management, Warehouse Management, Inventory, Receivables). Solid understanding of R2R module processes (GL, AP, AR, Fixed Assets) within Oracle EBS 12.1.4. Demonstrated analytical, organizational, and problem-solving abilities. Ability to manage priorities, schedules, and technical challenges under pressure. Strong interpersonal and communication skills, with experience collaborating in multicultural environments. Capable of translating business requirements into effective technical solutions. Experience working in geographically dispersed teams. Flexibility to work aligned with UK shift timings. Interview Process : The interview process consists of 4 rounds : Virtual Round 1 Technical interview with Client. Virtual Round 2 – Technical interview with Client F2F Round 1 – Techno Managerial Interview. F2F Round 2 – HR Round
Job Title: Solution Architect SCM Experience: 12+ Years Location: Bangalore Job Description Job Summary The Solution Architect SCM will lead the technical and functional design of O2C (Order-to-Cash) processes and drive solution delivery across multiple European regions. The role focuses on Oracle ERP EBS 12.1.4 with modules such as Order Management, Inventory, Oracle Shipping, and Accounts Receivable. The architect will define and manage end-to-end O2C solution design, support IT transformation initiatives, and enable seamless integration with various third-party applications across a Pan-European landscape. This position requires strong leadership in solution architecture, the ability to work both independently and collaboratively, and a commitment to delivering scalable, reusable, and best-practice-driven ERP solutions. Key Responsibilities Be a team player with the ability to work independently. Act as the primary point of contact in Europe for all technical integrations with internal and external partners. Lead O2C technical and functional design using established tools, methodologies, and best practices. Drive O2C deliverables through discussions with key stakeholders. Provide ongoing support for the O2C solution landscape. Collaborate with IT Solution Owners and Business Process Owners to design reusable and scalable solutions. Support the end-to-end solution process, including functional specification creation, development support, integration testing, and implementation. Travel occasionally to attend business meetings across regions. Contribute to organizational culture, values, and shared goals. Required Experience & Skills Bachelors or Masters degree in Information Technology or a related field. Minimum of 12+ years of experience in service-oriented IT architecture and enterprise integration patterns. Strong working knowledge of O2C modules, including: Order Management Warehouse Management Inventory Receivables Strong analytical, organizational, and problem-solving skills. Ability to manage schedules, priorities, and technical issues under pressure. Strong interpersonal and communication skills, with experience in multicultural environments. Ability to understand and articulate business requirements and translate them into technical solutions. Experience working in geographically dispersed team environments. Flexibility to work in the UK shift. Interview Process : The interview process consists of 4 rounds : Virtual Round 1 – Technical interview with Client. Virtual Round 2 – Technical interview with Client F2F Round 1 – Techno Managerial Interview. F2F Round 2 – HR Round
J ob Title: Web Analyst Job Location : Bengaluru Job Type: Permanent - Full time (UK Shift 12:30pm - 9:30pm) Top Skills: SQL, Spark, Java/Python Job Responsibilities: Develop and implement web scraping scripts using Python (BeautifulSoup, Scrapy, and Selenium) to collect online pricing information from competitor websites and other relevant sources. Use the Spyder IDE for debugging, testing, and optimizing Python scripts for data extraction. Automate the data collection and reporting processes using Python/VBA to streamline workflows and improve efficiency. Collaborate with the Pricing team to establish structured frameworks for recording and analyzing online pricing data. Oversee the weekly management of key value indicator (KVI) items, ensuring accurate and up-to-date data for pricing decisions. Participate in category deep dives to collect regular price and promotional data, providing actionable insights to inform pricing strategies. Gather and maintain accurate item attributes (e.g., product title, descriptions, images, specifications) to enhance site merchandising on bumpertobumper.ca. Use the web scraping tools to extract and update product content from supplier websites or other online sources. Ensure website content is optimized to showcase our leading program of automotive aftermarket parts and tools. Support the integration of pricing and content data during the acquisition of new businesses. Clean, transform, and preprocess raw data using Python libraries like Pandas and NumPy to ensure accuracy and usability. Collaborate with the Data Management team to ensure seamless data integration and reporting. Provide actionable insights to cross-functional teams to improve pricing strategies and customer experience. Work closely with cross-functional teams, including Pricing, E-commerce, and Data Management, to align goals and deliverables. Document processes, workflows, and code for future reference and team collaboration. Required Qualifications & Skills: Basic Qualifications: (Minimum Required Experience, Education, Knowledge/Skills/Abilities, Essential Physical Demands) The candidate must hold a bachelors degree in BBA or B. Com, coupled with prior experience in marketing or pricing roles. Technical Skills: Proficiency in Python for web scraping (BeautifulSoup, Scrapy, Selenium, Requests). Experience with Spyder IDE for Python development. Strong knowledge of VBA for Excel automation and macro development. Familiarity with HTML, CSS, JavaScript, and XPath for web navigation and data extraction. Experience with data cleaning and manipulation using Python libraries like Pandas and NumPy. Education & Experience: Overall, 2 to 4 years of experience in pricing, data collection, or a related analytical role. Strong attention to detail, organizational skills, and the ability to collaborate effectively across teams. Proficiency in Microsoft Office, particularly Excel and Business Intelligence (BI) tools, including the use of MS Excel for calculations of large datasets; experience with Google Analytics is an asset. Excellent written and verbal communication skills in English; proficiency in French is an asset. An interest in the automotive industry is considered a plus. Experience in pricing analysis, competitor benchmarking, or e-commerce data management. Familiarity with web development concepts such as HTML, CSS, WordPress CMS and JavaScript for technical SEO purposes. Ability to work autonomously. High level of organizational skills with the ability to deal with conflicting priorities and deadlines. Hands-on person who can hit the ground running. Flexible with the ability to work well under pressure. Confident in problem-solving. Passionate about Data Analysis & eCommerce. Knowledge/Skills/Abilities: The person needs to fill in ideally following areas: Analytical skills enable the Marketing Assistant to compile data and present it in an easy-to-understand method. Being self-motivated and well-organized with a customer approach. Able to understand the requirements of the job. Ability and capacity to manage multiple tasks based on deadlines. Good understanding of marketing principles. Interview Process : The interview process consists of 4 rounds : Virtual Round 1 Technical interview with Client. Virtual Round 2 Technical interview with Client F2F Round 1 Techno Managerial Interview. F2F Round 2 – HR Round
Job Title: Senior Developer Location: Gurugram, Haryana (5 days in office) Job Type: Permanent, Full-Time (40 Hours) Reports To: Technical Program Manager, Communication About the role The Senior Developer will work in projects related to Adobe Campaign, Adobe Experience Platform, and Adobe Journey Optimizer implementation, improvements, and optimization. This role combines business analysis with technical development skills to enhance our marketing automation capabilities. The ideal candidate will possess a strong understanding of both marketing strategies and technical development, enabling them to bridge the gap between business requirements and technical solutions. You're a builder at heart with strong technical knowledge, is process-oriented, analytical, and can get things done. In every challenge, you can find a solution. You build great products. In a role that demands both business and technical acumen, you iindependently work through ambiguity to drive prioritization of opportunities. You ground your decisions in the data and know where to focus your efforts. You build for the future. When setting direction for the short-term, you weigh the long-term impact of your roadmap across a complex, global organization. You can communicate how our work today will impact our digital maturity in the years to come. Roles & Responsibilities Collaborate with marketing stakeholders to gather and analyze requirements for campaigns, workflows, and data management initiatives within Adobe Campaign, Adobe Experience Platform, and Adobe Journey Optimizer Defining data structures, creating and managing journeys, crafting personalized content, and monitoring campaign performance in ACC/AJO/CDP Defining and creating customer segments based on various criteria to target specific groups with tailored content and experiences in ACC/AJO/CDP Optimizing the existing use cases & create the new ones in ACC/AJO/CDP Implement logic for real-time and scheduled delivery using edge based triggers and behavioral data Develops and implements custom solutions within AEP, including integrations with other systems and applications Troubleshooting & Issue Resolution: Monitor the performance across ACC/AJO/AEP solutions, proactively identify issues and provide timely resolutions. Troubleshoot any technical challenges and optimize journeys, workflows for enhanced efficiency Design and document technical solutions that align with business objectives, ensuring that Adobe Campaign functionalities are effectively utilized Implement custom solutions, including workflows, data integrations, and automation scripts, using Adobe Campaigns development tools and languages Manage and optimize data processes, ensuring high-quality data is available for campaign segmentation and targeting Develop and execute testing strategies to validate solutions. Ensure that all developed functionalities meet quality standards before deployment Provide training and support to marketing teams on the use of Adobe Campaign features and best practices. Serve as a subject matter expert Create dashboards and reports to monitor campaign performance and provide insights for continuous improvement Work closely with cross-functional teams, including IT, analytics, and marketing, to align on project goals and ensure successful implementation of solutions Education Bachelors degree required Masters degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.) Relevant Experience 5+ Years with Adobe Campaign Classic, AJO, CDP, AEP implementation Relevant working experience in a communication platform or MarTech stack Behavioural Skills Delivery Excellence Business disposition Social intelligence Innovation and agility Knowledge Adobe certifications preferred. Ability to program in HTML/CSS/JavaScript Ability to write complex SQL queries Understanding of Email, SMS, PUSH, including responsive design principles, templating, and data schemas.
Job Description : We are a fast growing IT services AI/ML development company based in Hyderabad. We provide end to end AI solutions to our clients based in the United States and Europe. We are looking for Fresh Engineering / MCA graduates for the role of Software Developers. 1. We are looking for Jr. Software developers. 2. Should have sound knowledge of C/C++ or Java 3. B.E. / BTech / MCA or equivalent degree candidates might apply for the post. 4. Should be graduated in or after 2023. 5. Candidates will be trained in relevant technologies, before being put on projects. Eligibility : 10/12 70% and above B.Tech 58% and above(all streams) Training Period: Training period is for 6 months. Compensation : 20,000/- per month during the training period. 4LPA Bond : A bond agreement has to be signed at the start of the internship / training for a period of 1.5 yrs.
J ob Title: Data Management Executive Job Location : Bengaluru Job Type: Permanent - Full time (UK Shift 12:30pm - 9:30pm) Top Skills: MDM, SQL, Pricing, Supply, MRP or ERP Job Responsibilities: - Take ownership of the creation, validation, and modification of corporate data, including products, suppliers, customers, and pricing information. - Proactively ensure the accuracy, completeness, and integrity of all corporate data within our various enterprise systems (including our MRP environment). - Work in close partnership with teams across the organization, including Product Management, Sales, Supply Chain, Finance, and Operations, to understand their data needs and challenges. - Utilize and champion best practices for data management and maintenance to improve efficiency and data quality. - Inform relevant departments and business units of data changes, updates, and potential impacts in a clear and timely manner. - Generate ad-hoc system reports and perform data updates to meet evolving business requirements. - Act as a troubleshooter to diagnose, investigate, and resolve data-related issues, ensuring minimal disruption to business processes. Required Qualifications & Skills: • - The candidate must hold a Bachelor's degree in Business Administration or Information Technology, or a related field. - 2-3 years of experience in a hands-on data management role, with a proven track record in managing and maintaining data, collaborating with stakeholders, and troubleshooting data issues. - Advanced proficiency with data analysis tools, specifically Microsoft Excel (PivotTables, VLOOKUPs, Power Query) and SQL for querying databases. - Demonstrated experience in data management within an MRP (Manufacturing Resource Planning) or similar ERP system. - Excellent communication skills, with the ability to convey complex data concepts clearly and effectively to both technical and non-technical audiences. - A dynamic and adaptable mindset, with the ability to pivot quickly and manage changing priorities in a fast-paced environment. - Experience in the automotive aftermarket industry is a significant advantage. - Analytical mindset with proven problem-solving skills. Knowledge/Skills/Abilities: - A strong sense of urgency and self-initiative with the ability to act decisively to meet business objectives. - Excellent verbal and written communication skills in English. - Strong analytical skills to interpret marketing performance data. - Ability to work independently with minimal supervision. - Strong customer-centric approach with a focus on business outcomes. - Comfortable working remotely with a high level of motivation, organization, and customer-oriented mindset. Interview Process : The interview process consists of 4 rounds : Virtual Round 1 Technical interview with Client. Virtual Round 2 Technical interview with Client F2F Round 1 Techno Managerial Interview. F2F Round 2 – HR Round
Designation: Medical Coder/Senior Medical Coder/QA Surgery Preferred Skills, Education and Experience: Any graduation with Surgery coding experience. CPC, CCS or COC certification is must. Strong verbal and written communication skills. Strong domain knowledge in Surgery. • Have thorough knowledge of medical anatomy, physiology and Medical terminology. Official Coding Guidelines for ICD-10-CM for correct and accurate coding. Roles and Responsibilities: Responsible for assigning diagnostic and procedural codes to patient charts using ICD-10-CM coding classification system in accordance with coding rules and regulations Abstract required clinical information Have thorough knowledge of medical terminology, disease processes, pharmacology, Medicares Inpatient Prospective Payment System (IPPS), Official Coding Guidelines for ICD10-CM and ICD-10-PCS, and documentation requirements for correct and accurate coding Maintain standard industry productivity rates for Surgery coding (2.5 to 3 charts/hour) Demonstrate ability to maintain high quality standards of 95% or greater Proficient in utilizing technology (Encoder, CAC, MS Office, EMRs) to perform responsibilities Strong verbal and written communication skills • Experience with trauma cases and highly complex cases, orthopedic, and cardiology preferred Work location: Bangalore, Salem, Chennai, Hyderabad & Trichy
Designation: Medical Coder/Senior Medical Coder/QA Radiology/IVR Preferred Skills, Education and Experience: Any graduation with Radiology/IVR coding experience. CIRCC/CPC/CCS/COC certification is Must. 1-4 years of experience in medical coding, preferably in an Radiology/IVR setting. Experience in simple as well as complex IVR Strong verbal and written communication skills. Strong domain knowledge in RADIOLOGY/IVR. Have thorough knowledge of medical anatomy, physiology and Medical terminology. Official Coding Guidelines for ICD-10-CM for correct and accurate coding. Roles and Responsibilities: Responsible for assigning ICD 10 CM codes to patient charts using ICD-10-CM coding classification system in accordance with coding rules and regulations. Experience in Excode and ImageNow would be plus You are to review and understand required clinical information from medical records. • Maintain standard industry productivity rates for IVR coding (7 to 9 charts/hour) Demonstrate ability to maintain high quality standards of 95% or greater. Proficient in utilizing technology (Encoder, MS Office) to perform responsibilities. • Follow client specific guidelines wherever applicable & working as per client updates and coding the charts accordingly. Work location: Bangalore, Salem, Chennai, Hyderabad & Trichy
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