Quality Assurance Engineer (1) We are seeking a highly skilled QA engineer to join our team to execute a critical project around Point-of-Sale Data Management and Analytics. The initial term of the contract will be 6 months with the option to extend to another 3 months. The ideal candidate will have a strong background in software testing including smoke testing, unit testing, integration testing, performance testing, etc. We are modernizing our Point-of-Sale (POS) data processing platform with dynamic workflow execution, automated data cleaning, and cloud-native infrastructure. The platform includes: React-based UI for business workflows Python FastAPI backend Workflow automation using Prefect Data ingestion from Excel/CSV (FTP, SharePoint) Key Responsibilities Develop, document, and execute test cases to validate the functionality of the application. Validate Excel/CSV data transformation workflows and integration between frontend, backend, and Prefect workflows Perform functional, integration, regression, and performance testing. Automate test cases using tools such as Selenium, PyTest, or Cypress. Collaborate with developers and stakeholders to define testing strategies and resolve issues. Maintain test scripts and frameworks for automated testing. Ensure high-quality releases by identifying, documenting, and tracking defects in bug tracking tools (e.g., JIRA). Validate workflows, state management, and APIs to ensure system robustness. Qualifications Proficient in testing tools such as Selenium, PyTest, Postman, and JMeter. Strong understanding of RESTful APIs and performance testing tools. Hands-on experience in testing React applications and backend systems developed in Python. Hands-on experience testing Excel/CSV file operations Familiarity with CI/CD pipelines and automated test integration. Basic knowledge of containerized environments (Docker/Kubernetes) and cloud platforms (Azure preferred). Attention to detail and strong analytical skills. Excellent written and verbal communication. Collaborative team player with problem-solving capabilities. Show more Show less
Quality Assurance Engineer (1) We are seeking a highly skilled QA engineer to join our team to execute a critical project around Point-of-Sale Data Management and Analytics. The initial term of the contract will be 6 months with the option to extend to another 3 months. The ideal candidate will have a strong background in software testing including smoke testing, unit testing, integration testing, performance testing, etc. We are modernizing our Point-of-Sale (POS) data processing platform with dynamic workflow execution, automated data cleaning, and cloud-native infrastructure. The platform includes: React-based UI for business workflows Python FastAPI backend Workflow automation using Prefect Data ingestion from Excel/CSV (FTP, SharePoint) Key Responsibilities Develop, document, and execute test cases to validate the functionality of the application. Validate Excel/CSV data transformation workflows and integration between frontend, backend, and Prefect workflows Perform functional, integration, regression, and performance testing. Automate test cases using tools such as Selenium, PyTest, or Cypress. Collaborate with developers and stakeholders to define testing strategies and resolve issues. Maintain test scripts and frameworks for automated testing. Ensure high-quality releases by identifying, documenting, and tracking defects in bug tracking tools (e.g., JIRA). Validate workflows, state management, and APIs to ensure system robustness. Qualifications Proficient in testing tools such as Selenium, PyTest, Postman, and JMeter. Strong understanding of RESTful APIs and performance testing tools. Hands-on experience in testing React applications and backend systems developed in Python. Hands-on experience testing Excel/CSV file operations Familiarity with CI/CD pipelines and automated test integration. Basic knowledge of containerized environments (Docker/Kubernetes) and cloud platforms (Azure preferred). Attention to detail and strong analytical skills. Excellent written and verbal communication. Collaborative team player with problem-solving capabilities. Show more Show less
We are looking for a passionate and motivated Junior Python Data Scientist to join our growing data team. This is an excellent opportunity for recent graduates or individuals with up to one year of experience who are eager to apply their Python and data analysis skills to real-world problems. You'll work on meaningful projects involving data preparation, analysis, and machine learning model development under the guidance of experienced data scientists. Key Responsibilities: Clean, transform, and analyze data using Python, pandas, and NumPy Support the development and evaluation of machine learning models using scikit-learn and TensorFlow Conduct statistical analyses to extract insights and identify trends Assist in building data pipelines and automating data processes Communicate findings and present insights in a clear and concise manner Collaborate with cross-functional teams, including data engineers, product managers, and software developers Requirements : 0–1 years of hands-on experience with Python for data analysis or machine learning Familiarity with pandas, NumPy, scikit-learn, and TensorFlow Understanding of core statistical concepts and basic exploratory data analysis (EDA) Knowledge of machine learning models such as linear regression, decision trees, or classification algorithms (academic or project-based exposure is acceptable) Strong problem-solving and analytical thinking skills Good communication and documentation abilities Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field (or currently pursuing) Preferred Qualifications: Completed coursework, certifications, or personal projects related to ML or Data Science Exposure to advanced ML algorithms Exposure to Deep Learning Exposure to version control (e.g., Git), Jupyter notebooks, or cloud environments is a plus Enthusiastic about learning and growing in the data science field
We are seeking a passionate and motivated Junior Python Data Scientist to join our expanding data team. This position offers an excellent opportunity for recent graduates or individuals with up to one year of experience who are enthusiastic about applying their Python and data analysis skills to real-world challenges. As a Junior Python Data Scientist, you will be involved in meaningful projects focused on data preparation, analysis, and the development of machine learning models, all under the guidance of experienced data scientists. Your responsibilities will include cleaning, transforming, and analyzing data utilizing Python, pandas, and NumPy. You will also play a key role in supporting the development and evaluation of machine learning models using tools such as scikit-learn and TensorFlow. Additionally, you will conduct statistical analyses to extract valuable insights and identify trends, as well as contribute to building data pipelines and automating data processes. Communication of findings and presentation of insights in a clear and concise manner will be an essential part of your role. Collaboration with cross-functional teams, including data engineers, product managers, and software developers, is also a key aspect of this position. The ideal candidate for this role should have at least one year of hands-on experience with Python for data analysis or machine learning. Familiarity with pandas, NumPy, scikit-learn, and TensorFlow is required. A solid understanding of core statistical concepts and basic exploratory data analysis (EDA) is essential. Knowledge of machine learning models such as linear regression, decision trees, or classification algorithms is preferred, and exposure to advanced ML algorithms and Deep Learning is a plus. Strong problem-solving and analytical thinking skills, along with good communication and documentation abilities, are also important qualities we are looking for. A Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field is required, or currently pursuing one. Preferred qualifications include completed coursework, certifications, or personal projects related to ML or Data Science. Exposure to version control (e.g., Git), Jupyter notebooks, or cloud environments is advantageous. We are looking for candidates who are enthusiastic about learning and growing in the data science field.,
Job Title: Lead Generation Executive (US Market – IT Services & Cloud Solutions) Location: Mumbai (Work from Office) Shift Timing: EST (5:30 PM to 2:30 AM IST) Experience: 5–6 Years Job Summary: We are looking for a highly driven and experienced Lead Generation Executive to support our business development efforts in the US market. The ideal candidate will have a strong background in generating qualified leads for IT services, cloud computing, and data solutions , and be adept at working in a target-driven, fast-paced environment. Key Responsibilities: Develop and execute targeted outbound campaigns (email, LinkedIn, cold calling) to generate qualified leads in the US market. Build and maintain a database of potential clients across verticals including BFSI, Healthcare, Retail, and Manufacturing. Identify decision-makers and influencers at target companies and initiate contact. Set up appointments and demos for the sales team with high-quality prospects. Track, analyze, and report on campaign performance using CRM tools like HubSpot, Salesforce, etc. Collaborate closely with the marketing and sales teams to refine targeting and messaging strategies. Required Skills: Proven experience (5–6 years) in B2B lead generation focused on the US market . Domain knowledge in IT services , data solutions , and cloud platforms (AWS, Azure, GCP) . Excellent communication skills (verbal and written). Experience working in US EST shift is a must. Hands-on expertise with CRM and prospecting tools (LinkedIn Sales Navigator, ZoomInfo, Lusha, Apollo). Strong analytical skills and result-oriented mindset. Preferred Qualifications: Bachelor's degree in Business, Marketing, or related field. Prior experience working with IT consulting or SaaS firms targeting North America.
Job Title: OIC Consultants Work location: Remote India Duration : 9 Months (Contract) Software Engineer – Oracle Fusion Tech • Should have built integrations using Oracle integration cloud service. • Error handling in OIC • Should be good at troubleshooting API payload issues as well as OIC failure points • Should have experience in integrating the 3rd Party application and Oracle ERP Cloud. • Should be capable of building integrations both inbound and outbound - File based, API web service based • Should be aware about agent, business events and messaging service. • Should be conversant in documentation - Technical Design, Unit Test Scripts, Code migration document, Integration test scripts etc.,
Role Overview We are looking for an experienced Oracle Integration Cloud (OIC) Technical Consultant with strong expertise in Oracle HCM and HRMS. Exposure to Fusion Applications is highly desirable. The candidate should also have hands-on experience with Oracle E-Business Suite (EBS) and Cloud technologies. Key Responsibilities Design, develop, and maintain integrations using Oracle Integration Cloud (OIC) . Work on Oracle HCM and HRMS modules with strong technical knowledge. Collaborate with functional teams to deliver seamless Fusion integrations . Support Oracle EBS and Cloud implementations, enhancements, and upgrades. Troubleshoot integration issues and provide technical resolutions. Ensure best practices and performance optimization in all deliverables. Required Skills Strong technical expertise in Oracle Integration Cloud (OIC) . Hands-on experience with Oracle HCM and HRMS . Knowledge of Oracle E-Business Suite (EBS) and Cloud applications. Good understanding of Fusion Applications (nice to have). Proficiency in web services, SOAP/REST, APIs, and middleware . Strong problem-solving and communication skills.
Role Overview: As a Junior Python Data Scientist at our company, you will have the opportunity to work on meaningful projects that involve data preparation, analysis, and the development of machine learning models. You will be guided by experienced data scientists and will play a crucial role in utilizing your Python and data analysis skills to tackle real-world challenges. Key Responsibilities: - Clean, transform, and analyze data using Python, pandas, and NumPy - Support the development and evaluation of machine learning models with tools like scikit-learn and TensorFlow - Conduct statistical analyses to extract insights and trends - Contribute to building data pipelines and automating data processes - Communicate findings and insights effectively - Collaborate with cross-functional teams including data engineers, product managers, and software developers Qualifications Required: - At least one year of hands-on experience with Python for data analysis or machine learning - Familiarity with pandas, NumPy, scikit-learn, and TensorFlow - Solid understanding of core statistical concepts and basic exploratory data analysis (EDA) - Knowledge of machine learning models such as linear regression, decision trees, or classification algorithms - Strong problem-solving and analytical thinking skills - Good communication and documentation abilities - Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field Additional Details: Preferred qualifications include completed coursework, certifications, or personal projects related to ML or Data Science. Exposure to version control (e.g., Git), Jupyter notebooks, or cloud environments is advantageous. We are seeking candidates who are eager to learn and advance in the field of data science.,
GENERAL SUMMARY OF POSITION Looking for a strong Power BI Sr. Developer with a total of 7-8 years of IT experience and having at least 4+ years of good experience in Power BI. RESPONSIBILITIES & SPECIFIC ACCOUNTABILITIES Responsible for analyzing, designing, developing, and delivering Microsoft Power BI solutions to translate business requirements into optimal PBI solutions to fulfill customer reporting needs and Business objectives. Responsible for data modeling, building calculations/measures/conversions, data loads and development/configuration of Dashboards/Reports in Power BI as per the business requirements. To design and develop Power BI dashboards with effective data visualization techniques using DAX. To ensure that the developed Power BI solution is complete, accurate and meets user requirements. Testing the developed solutions before releasing it for Business validation. The candidate should be able to work as an individual contributor for the design/development/delivery of PBI solutions. KEY POSITION REQUIREMENTS Education Bachelor's/Master’s degree in Computer Science or Information Technology. Job Experience Looking for a strong Power BI Sr. Developer with a total of 7-8 years of IT experience and having at least 4+ years of good experience in Power BI. Power BI experience using ERPs (like Oracle or SAP) as source systems, would be added advantage. Good experience in building data visualization solutions using Power BI to support advanced business analytics. Should have experience in writing complex DAX expressions. Experience in providing the securities for reports/dashboards. Good experience in the design and data modeling of Power BI applications involving complex multiple data sources. Experience in developing Power BI applications loading data to it from heterogeneous sources including various ERPs, Datawarehouse, Manual files, other BI applications etc. Must have experience of at least 3-4 Power BI implementation projects. Knowledge and Skills Should have strong knowledge of Microsoft Power BI Technology. Strong experience in designing and developing Dashboards/Reports in power BI using DAX. Good knowledge of end to end BI implementation and should have good understanding of task/processes to translate and implement business requirements into optimal BI solutions to fulfill customer reporting needs and Business objectives. Good understanding of BI/Data Warehouse and ETL concepts and how to include them in visualizations. Good knowledge on how to fix BI application development bugs or to resolve Production support data issues. Good understanding of the Data warehouse life cycle from source systems/data sources to ETL to transformations to data model to Reporting. Strong analytical and troubleshooting skills with attention to detail. Excellent communication skills, verbal and written. Good knowledge of SQL, relational databases, and Dimensional Modeling. Ability to work independently. Desirable Job Competencies Power BI experience using ERPs (like Oracle, SAP, MS Dynamics) as source systems, would be added advantage.. Experience of working in Finance/Sales/Supply Chain/Manufacturing Reporting modules will be added advantage.
The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
Job Title: Junior AI/ML Engineer 📍 Location: Onsite – Mumbai About the Role: We’re looking for a passionate Junior AI/ML Engineer to join our growing data science team. This role is perfect for someone eager to apply their knowledge of Machine Learning, AI, and Python to solve real-world business challenges and grow hands-on with cutting-edge technologies like Deep Learning, NLP, and Large Language Models (LLMs). Key Responsibilities: Develop, train, and deploy machine learning and AI models to support analytical and automation use cases. Work on Natural Language Processing (NLP) projects including text classification, sentiment analysis, and entity recognition. Assist in designing and optimizing deep learning architectures (CNNs, RNNs, Transformers, etc.). Contribute to data preprocessing, feature engineering, and model evaluation workflows. Collaborate with data scientists and engineers to implement and integrate models into production. Stay current with emerging trends in AI, ML, and LLMs (e.g., GPT, Claude, Gemini) and contribute ideas for experimentation. Required Skills & Experience: Strong proficiency in Python and ML frameworks such as scikit-learn, TensorFlow, or PyTorch . Hands-on experience with Machine Learning algorithms (classification, regression, clustering, etc.). Familiarity with Deep Learning and NLP concepts. Understanding of LLM-based architectures and prompt engineering is a strong plus. Good analytical mindset and ability to translate data insights into business outcomes. Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field. What We Offer: Opportunity to work on real-world AI and ML projects in a collaborative environment. Exposure to LLM and generative AI initiatives . Onsite role in our Mumbai office , fostering direct mentorship and teamwork.
Oracle Fusion / EBS / HRMS Technical Consultant (OIC + HCM) Key Responsibilities Develop and support Oracle Fusion HCM customizations, reports, and extensions (HDL, HCM Extracts, OTBI, BI Publisher). Work on Oracle EBS HRMS technical components including Fast Formulas, APIs, Interfaces, Workflows, and Reports. Design, build, and maintain integrations using Oracle Integration Cloud (OIC) REST/SOAP APIs, ICS flows, PaaS integrations. Create inbound/outbound interfaces between Fusion HCM and third-party applications. Support HR modules such as Core HR, Payroll, Talent, Absence, Time & Labor. Troubleshoot technical issues across Fusion/OIC/EBS and provide timely resolutions. Participate in requirement gathering, technical design, documentation, testing, and deployment. Ensure data accuracy, system performance, and compliance with security standards. Collaborate closely with functional teams and business stakeholders.
As a Junior AI/ML Engineer at our company, you will be part of our growing data science team, where you will have the opportunity to apply your knowledge of Machine Learning, AI, and Python to address real-world business challenges. You will be working with cutting-edge technologies like Deep Learning, NLP, and Large Language Models (LLMs). Key Responsibilities: - Develop, train, and deploy machine learning and AI models to support analytical and automation use cases. - Work on Natural Language Processing (NLP) projects including text classification, sentiment analysis, and entity recognition. - Assist in designing and optimizing deep learning architectures such as CNNs, RNNs, Transformers, etc. - Contribute to data preprocessing, feature engineering, and model evaluation workflows. - Collaborate with data scientists and engineers to implement and integrate models into production. - Stay updated with the latest trends in AI, ML, and LLMs (e.g., GPT, Claude, Gemini) and propose ideas for experimentation. Required Skills & Experience: - Strong proficiency in Python and ML frameworks like scikit-learn, TensorFlow, or PyTorch. - Hands-on experience with Machine Learning algorithms such as classification, regression, clustering, etc. - Familiarity with Deep Learning and NLP concepts. - Understanding of LLM-based architectures and prompt engineering is a strong plus. - Good analytical mindset and ability to translate data insights into business outcomes. - Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field. In this role, you will have the opportunity to work on real-world AI and ML projects in a collaborative environment. You will also gain exposure to LLM and generative AI initiatives. This is an onsite position in our Mumbai office, providing direct mentorship and fostering teamwork.,
JD Senior Informatica MDM Hub We are seeking a Senior Informatica MDM Hub & PowerCenter Developer with deep expertise in MDM architecture, data modeling, and enterprise data integration. Responsibilities Lead design and development of Informatica MDM Hub (Match/Merge, Trust rules, IDD, SIF APIs). Architect and optimize complex PowerCenter ETL workflows. Guide data integration strategy across multiple systems and domains. Ensure high data quality, governance, and MDM best practices. Provide technical leadership, code reviews, and production support for MDM/ETL solutions. Required Skills 812+ years in Informatica MDM Hub and PowerCenter Strong understanding of MDM architecture, data governance, and data modeling Advanced SQL and performance tuning Experience integrating large-scale, multi-source enterprise data Excellent communication and stakeholder management skills
Job Title: Oracle Integration Cloud (OIC) Technical Consultant Location: Remote (India) Experience Level: 5+ years (minimum 2+ years in OIC) Job Summary: We are seeking an experienced Oracle Integration Cloud (OIC) Technical Consultant with hands-on experience in integrating Oracle HCM Cloud modules. The ideal candidate will have a strong understanding of HCM business processes and prior exposure to Oracle E-Business Suite (EBS) HRMS integrations. You will be responsible for designing, developing, and maintaining integrations between Oracle HCM, EBS HRMS, and other enterprise systems using OIC and related technologies. Key Responsibilities: Design, develop, and deploy integrations using Oracle Integration Cloud (OIC) , SOAP/REST APIs , and ICS adapters . Implement and support integrations between Oracle HCM Cloud and on-premises systems (EBS HRMS) . Develop custom workflows, orchestration flows, and mappings within OIC. Work with functional teams to gather integration requirements and translate them into technical designs. Perform unit testing, troubleshooting, and performance tuning of integrations. Support migration, deployment, and post-go-live integration monitoring. Create and maintain technical documentation and integration design specifications. Collaborate with cross-functional teams to ensure seamless data flow between systems. Required Skills & Experience: 2+ years of hands-on experience with Oracle Integration Cloud (OIC) . Strong knowledge of Oracle HCM Cloud modules (Core HR, Payroll, Absence, Recruiting, etc.). Experience integrating Oracle HCM Cloud with third-party or legacy systems . Solid understanding of integration patterns, REST/SOAP web services, XML, XSD, XSLT, JSON , and FTP/SFTP protocols. Familiarity with OIC components like Integrations, Process, and Visual Builder. Experience in data mapping and transformation between cloud and on-prem systems. Working knowledge of Oracle EBS HRMS data model and APIs (a strong plus). Proficiency in SQL/PLSQL , JavaScript , and Groovy scripting preferred. Good analytical and problem-solving skills with attention to detail. Good to Have: Experience with Oracle BIP / OTBI reports . Knowledge of Oracle HCM Extracts and HDL (HCM Data Loader) . Understanding of Fusion Middleware or SOA Suite integrations. Oracle certification in OIC or HCM Cloud is an advantage.