Job Summary: We are seeking a detail-oriented and highly skilled Senior QA Automation Engineer to join our growing team. The ideal candidate will have a strong background in automated testing , excellent analytical skills, and a passion for delivering high-quality software. You will be responsible for designing, developing, and maintaining automation frameworks and ensuring our applications meet the highest standards of reliability and performance. Key Responsibilities: Design and develop scalable, maintainable, and efficient automation test frameworks for web, mobile, and API-based applications. Create, execute, and maintain automated test scripts using tools like Selenium, Cypress, Playwright, TestNG, or JUnit . Collaborate with developers, product managers, and DevOps teams to understand application workflows and build effective test strategies. Integrate automated tests with CI/CD pipelines (Jenkins, GitLab CI, Azure DevOps, etc.). Perform code reviews and ensure adherence to quality standards. Analyze test results, identify bugs, and log detailed defect reports. Contribute to the continuous improvement of QA processes and methodologies. Mentor junior QA engineers and promote best practices in test automation. Required Skills and Experience: 5–7 years of experience in QA Automation with a strong focus on test script development and execution. Proficiency in one or more programming languages: Java, Python, JavaScript, or C# . Hands-on experience with automation tools such as Selenium WebDriver, Cypress, Playwright, RestAssured, Postman . Strong understanding of API testing and tools like Postman, Swagger, SoapUI . Experience with BDD/TDD frameworks like Cucumber or SpecFlow . Solid understanding of SDLC , Agile/Scrum methodologies, and QA best practices. Familiarity with version control systems (Git) and CI/CD tools (Jenkins, GitHub Actions, CircleCI). Experience with test management tools like JIRA, TestRail, or Zephyr . Excellent problem-solving skills and attention to detail. Strong verbal and written communication skills. Show more Show less
Job Summary: Oversee and support the design, development and implementation of data warehousing, reporting and analytics solutions that deliver information efficiently, with the end goal to solve business challenges and achieve business objectives Provide oversight and expertise in Data Modeling and Database Design Architect and develop data models, ETL packages, OLAP cubes, and reports utilizing Power BI applying best practices to the development lifecycle Documentation of source-to-target mappings, data dictionaries, and database design Identify areas of improvement to optimize data flows Installation and Administration of Microsoft SQL Server Lead and mentor junior resources Support business development efforts (proposals and client presentations) Identify opportunities to add value to the client's organization by effective use of information management Build relationships with key stakeholders responsible for information and performance management in client's organization Estimate effort and cost for a Microsoft Business Intelligence solution Skills: MS BI Product Suite Power BI MS SQL SSIS SSRS Experience: 7-15 years Education/Qualification: Bachelor’s degree in Computer Science or related field, or equivalent education and experience Requirements: 7+ years of relevant consulting or industry experience 4+ years of hands-on development experience with Microsoft Business Intelligence stack Ability to thrive in a fast-paced, dynamic, client-facing role where delivering solid work products to exceed high expectations is a measure of success Excellent leadership and interpersonal skills Eager to contribute in a team-oriented environment Strong prioritization and multi-tasking skills with a track record of meeting deadlines Ability to be creative and analytical in a problem-solving environment Effective verbal and written communication skills Adaptable to new environments, people, technologies and processes Ability to manage ambiguity and solve undefined problems Demonstrates proficiency in the development and administration at least one of the following areas: Back-end data integration and architecture including dimensional data modeling, database design, data warehousing, ETL development, and performance tuning Front-end reporting and analytics platforms including OLAP cube design, tabular data modeling, Performance Point, Power Pivot, Power View, Power BI Report and Dashboard development Extremely strong SQL skills Foundational knowledge of the following areas: Metadata management Master Data Management Data Governance Data Analytics Deep experience in Kimball and Inmon modeling techniques Show more Show less
We are looking for a dynamic Business Analyst (BA) with 3 to 6 years of experience to work at the intersection of business strategy and advanced technologies, including Artificial Intelligence (AI), Machine Learning (ML), and Large Language Models (LLMs). This role requires a blend of analytical thinking, technical acumen, and communication skills to translate complex business challenges into cutting-edge technology solutions. The ideal candidate will collaborate with stakeholders, technical teams, and leadership to drive innovation and deliver impactful applications powered by AI/ML. Responsibilities Business and Requirement Analysis: Engage with stakeholders to identify business challenges, gather detailed requirements, and explore opportunities for leveraging AI/ML and LLM solutions. Conduct process analysis, gap analysis, and feasibility studies to align business needs with technological capabilities. Document clear, actionable functional and technical requirements, including user stories, workflows, and acceptance criteria. Build business cases and cost-benefit analyses to prioritize AI/ML initiatives. AI/ML and LLM Project Management: Collaborate with data scientists, AI/ML engineers, and developers to conceptualize, design, and refine AI/ML-driven solutions. Define business logic, model objectives, and evaluation criteria for AI/ML and LLM implementations. Assist in developing prototypes and proofs-of-concept to validate the feasibility and impact of solutions. Stay abreast of advancements in AI/ML and LLM technologies to identify new opportunities for business transformation. Stakeholder Communication and Collaboration: Act as the primary liaison between business units and technical teams to ensure alignment on objectives, expectations, and deliverables. Facilitate workshops, brainstorming sessions, and reviews to gather inputs and validate requirements. Prepare comprehensive reports, dashboards, and presentations to communicate progress, insights, and recommendations to stakeholders. Work with product managers to shape feature roadmaps and prioritize technology initiatives. Data-Driven Insights and Strategy: Collaborate with teams to define key performance indicators (KPIs) for evaluating the success of AI/ML solutions. Analyze datasets to uncover insights, identify patterns, and support data-driven decision-making. Use data visualization tools like Tableau, Power BI, or similar platforms to create interactive dashboards for monitoring AI/ML model performance. Provide strategic input on leveraging AI/ML to optimize workflows, improve customer experiences, and enhance operational efficiency. Testing, Implementation, and Monitoring: Collaborate with QA teams to design and execute test cases for validating AI/ML solutions against business requirements. Support the deployment of AI/ML systems into production environments, ensuring smooth implementation and adoption. Monitor deployed models for performance, accuracy, and reliability, providing feedback for continuous improvement. Create user guides, training materials, and best practices documentation to support stakeholders in utilizing AI/ML applications effectively. Required Skills and Qualifications Strong understanding of AI/ML concepts such as supervised/unsupervised learning, NLP, computer vision and LLMs, with the ability to bridge the gap between technical teams and business stakeholders. Experience with Python-based AI/ML libraries such as TensorFlow, PyTorch, or scikit-learn (preferred but not mandatory). Familiarity with AI/ML cloud services from AWS, Azure, or Google Cloud. Proficiency in business analysis methodologies, including process mapping, SWOT analysis, and root cause analysis Hands-on experience in creating detailed business requirement documents (BRDs), functional requirement specifications (FRSs), and workflows. Analytical and Technical Skills: Proficiency with data visualization tools like Tableau, Power BI, or similar platforms for presenting business insights. Basic understanding of APIs, data pipelines, and integrations for deploying AI/ML models. Ability to design and validate KPIs to measure business impact and technical success. Preferred Skills: Exposure to projects involving LLMs for conversational AI, chatbots, or content generation. Knowledge of Agile/Scrum frameworks for managing technology projects. Show more Show less
Key Responsibilities: Make cold calls to potential customers with confidence and professionalism. Write and send cold emails that are grammatically correct and persuasive. Carry out LinkedIn outreach to identify, connect, and engage with prospects. Assist the marketing team with campaigns, social media posts, and emailers. Qualify leads and set up meetings for the sales team. Maintain accurate lead data in CRM/Excel. Learn and apply sales techniques under guidance from senior team members Office Timings: Shift: 5:30 PM IST – 2:30 AM IST Aligns with US business hours for effective client outreach. Requirements: Excellent English communication skills (spoken and written). Fresher or less than 1 year of work experience (inside sales/marketing internships preferred). Good understanding of MS Office / Google Workspace. Basic knowledge of LinkedIn and email communication tools. Eagerness to learn, adapt, and grow in a fast-paced environment. Desired Attributes: Confident, energetic, and proactive personality. Strong attention to detail in writing and communication. Resilient, with the ability to handle rejections positively. Interest in building a career in sales, marketing, and client engagement.
Primary Skills: Python, Pyspark, Glue, Redshift, Lambda, DMS, RDS ,Cloud Formation and other AWS serverless; Strong exp in SQL Roles& Responsibilities: Good Experience in Athena, Python code, Glue, Lambda, DMS , RDS, Redshift Cloud Formation and other AWS serverless resources. 1. Can optimize data models for performance and efficiency. Able to write SQL queries to support data analysis and reporting Design, implement, and maintain the data architecture for all AWS data services. 2. Work with stakeholders to identify business needs and requirements for data- related projects Design and implement ETL processes to load data into the data warehouse. 3. Good Experience in Athena, Python code, Glue, Lambda, DMS, RDS, Redshift, Cloud Formation and other AWS serverless resources.
Key Responsibilities Make cold calls to potential customers with confidence and professionalism. Write and send cold emails that are grammatically correct and persuasive. Carry out LinkedIn outreach to identify, connect, and engage with prospects. Assist the marketing team with campaigns, social media posts, and emailers. Qualify leads and set up meetings for the sales team. Maintain accurate lead data in CRM/Excel. Learn and apply sales techniques under guidance from senior team members. Requirements Excellent English communication skills (spoken and written). Minimum 1 year of work experience. Good understanding of MS Office / Google Workspace. Basic knowledge of LinkedIn and email communication tools. Eagerness to learn, adapt, and grow in a fast-paced environment. Desired Attributes Confident, energetic, and proactive personality. Strong attention to detail in writing and communication. Resilient, with the ability to handle rejections positively. Interest in building a career in sales, marketing, and client engagement.
Job Description: We are looking for a Data Scientist with 5+ years of experience and strong expertise in Python programming, Generative AI. The ideal candidate should have hands-on experience working with GenAI models (Gemini/OpenAI), Vertex AI, BigQuery NLP, and building RAG-based solutions, Azure/GCP. The candidate should also be comfortable with modern MLOps tools and advanced NLP/CV techniques Key Responsibilities: Develop and deploy AI/ML solutions leveraging GenAI (Gemini/OpenAI) and Vertex AI Build RAG (Retrieval Augmented Generation) based solutions using Vector DBs, chunking, and embedding techniques Create and manage CI/CD pipelines for model deployment and updates Work with GCP services, especially BigQuery, Form Recognizer, and Vertex AI pipelines Build and expose APIs using FastAPI or Django for AI service integration Design and optimize NoSQL and Vector Databases Implement NLP, Computer Vision (CV), and Deep Learning models for healthcare data Collaborate with cross-functional teams including engineering and product
Key Responsibilities Make cold calls to potential customers with confidence and professionalism. Write and send cold emails that are grammatically correct and persuasive. Carry out LinkedIn outreach to identify, connect, and engage with prospects. Assist the marketing team with campaigns, social media posts, and emailers. Qualify leads and set up meetings for the sales team. Maintain accurate lead data in CRM/Excel. Learn and apply sales techniques under guidance from senior team members. Requirements Excellent English communication skills (spoken and written). Minimum 1 year of work experience. Good understanding of MS Office / Google Workspace. Basic knowledge of LinkedIn and email communication tools. Eagerness to learn, adapt, and grow in a fast-paced environment. Desired Attributes Confident, energetic, and proactive personality. Strong attention to detail in writing and communication. Resilient, with the ability to handle rejections positively. Interest in building a career in sales, marketing, and client engagement.
Key Responsibilities: Design, build, and maintain scalable data pipelines and ETL workflows using Azure Data Factory , Databricks , and Python . Develop and optimize data ingestion , transformation , and storage solutions in Azure (Data Lake, Synapse, SQL DB). Write efficient and reusable Python scripts for data processing, validation, and automation. Collaborate with data scientists, analysts, and business teams to ensure data accuracy and availability. Implement best practices for data quality , security , and performance tuning . Monitor, troubleshoot, and improve existing data pipelines. Technical Skills: Strong in Python (Pandas, PySpark, SQLAlchemy) Hands-on with Azure Data Factory, Azure Databricks, Azure Data Lake, Synapse Analytics Solid understanding of SQL and data modeling concepts Experience with ETL/ELT processes and orchestration Familiar with version control (Git) and CI/CD for data pipelines .
Key Responsibilities Make cold calls to potential customers with confidence and professionalism. Write and send cold emails that are grammatically correct and persuasive. Carry out LinkedIn outreach to identify, connect, and engage with prospects. Assist the marketing team with campaigns, social media posts, and emailers. Qualify leads and set up meetings for the sales team. Maintain accurate lead data in CRM/Excel. Learn and apply sales techniques under guidance from senior team members. Requirements Minimum 2 year of work experience. Good understanding of MS Office / Google Workspace. Basic knowledge of LinkedIn and email communication tools. Eagerness to learn, adapt, and grow in a fast-paced environment. Desired Attributes Confident, energetic, and proactive personality. Strong attention to detail in writing and communication. Resilient, with the ability to handle rejections positively. Interest in building a career in sales, marketing, and client engagement.
Content Creation: Write and manage blogs, newsletters, case studies, social media posts, website content, and webinar/reel ideas. Design: Create basic visuals, PPTs, and videos using CANVA or similar tools. Lead Generation: Execute ABM campaigns, manage LinkedIn lead generation, and handle CRM tools (HubSpot/Apollo.io). SEO & Website: Handle on-page/off-page SEO, meta tags and content optimization. Market Research: Conduct competitor and market analysis, identify GTM opportunities and events. Social Media: Manage LinkedIn business pages and CXO personal branding profiles; plan and schedule posts. Email Marketing: Draft and send campaigns using HubSpot or GMass; manage lead sequences and tracking. Ads & Analytics: Run LinkedIn Ads, track performance using Google Analytics, and report key metrics. Adaptability: Should actively participate in SALES operations. Skills & Tools Tools: HubSpot, Apollo.io, LinkedIn Sales Navigator, Google Analytics, Canva, GMass. Strong understanding of B2B funnels, content strategy, SEO and lead nurturing. Excellent writing, communication and analytical skills.
Design, develop, and maintain ETL/ELT pipelines using Informatica and Snowflake . Collaborate with data architects, analysts, and business stakeholders to understand requirements and translate them into robust data solutions. Perform data modeling (conceptual, logical, and physical) and implement efficient warehouse structures in Snowflake. Optimize Informatica mappings, sessions, and workflows for performance and scalability. Manage data ingestion , transformation, and integration from multiple source systems (structured and unstructured). Implement data quality , data governance , and best practices for data management. Monitor, troubleshoot, and tune ETL/ELT jobs for performance and reliability. Support migration and modernization initiatives (e.g., from on-premise ETL to cloud-based Snowflake environments). Provide technical leadership and mentorship to junior data engineers. Total Experience: Minimum 10–12 years in data engineering or related roles. Informatica: Minimum 8 years of hands-on experience in ETL development , workflow design , and performance tuning . Snowflake: Minimum 4 years of practical experience in data warehousing , data modeling , and ELT pipeline development . Strong experience with SQL and performance optimization techniques. Solid understanding of data integration , data quality frameworks , and metadata management . Experience with cloud platforms (AWS, Azure, or GCP) and data pipeline orchestration tools. Excellent analytical, problem-solving, and communication skills.