Basic Responsibilities (Must-Haves): 5+ years of experience in dashboard story development, dashboard creation, and data engineering pipelines . Hands-on experience with log analytics, user engagement metrics, and product performance metrics . Ability to identify patterns, trends, and anomalies in log data to generate actionable insights for product enhancements and feature optimization . Collaborate with cross-functional teams to gather business requirements and translate them into functional and technical specifications. Manage and organize large volumes of application log data using Google Big Query . Design and develop interactive dashboards to visualize key metrics and insights using any of the tool like Tableau Power BI , or ThoughtSpot AI . Create intuitive, impactful visualizations to communicate findings to teams including customer success and leadership. Ensure data integrity, consistency, and accessibility for analytical purposes. Analyse application logs to extract metrics and statistics related to product performance, customer behaviour, and user sentiment . Work closely with product teams to understand log data generated by Python-based applications . Collaborate with stakeholders to define key performance indicators (KPIs) and success metrics. Can optimize data pipelines and storage in Big Query . Strong communication and teamwork skills . Ability to learn quickly and adapt to new technologies. Excellent problem-solving skills . Preferred Responsibilities (Nice-to-Haves): Knowledge of Generative AI (GenAI) and LLM-based solutions . Experience in designing and developing dashboards using ThoughtSpot AI . Good exposure to Google Cloud Platform (GCP) . Data engineering experience with modern data warehouse architectures . Additional Responsibilities: Participate in the development of proof-of-concepts (POCs) and pilot projects. Ability to articulate ideas and points of view clearly to the team. Take ownership of data analytics and data engineering solutions . Additional Nice-to-Haves: Experience working with large datasets and distributed data processing tools such as Apache Spark or Hadoop . Familiarity with Agile development methodologies and version control systems like Git . Familiarity with ETL tools such as Informatica or Azure Data Factory Show more Show less

Role Description This is a full-time, on-site role for an Angular + .NET Developer located in Jaipur. The developer will be responsible for designing, developing, and maintaining web applications using Angular and .NET technologies. Daily tasks will include writing clean, maintainable code, collaborating with cross-functional teams, troubleshooting and debugging applications, and ensuring high performance and responsiveness of applications. The developer will also participate in code reviews and contribute to team meetings and discussions. Qualifications Proficiency in Object-Oriented Programming (OOP) and Software Development Experience with .NET Core and ASP.NET MVC Strong skills in Programming and web application development Excellent problem-solving and communication skills Ability to work effectively in a team environment and adapt to changing requirements Bachelor's degree in Computer Science, Information Technology, or related field Previous experience in Agile/Scrum development methodologies is a plus Familiarity with front-end frameworks and libraries such as Angular is highly desirable Show more Show less

Job description Basic Responsibilities (Must-Haves): 5+ years of experience in dashboard story development, dashboard creation, and data engineering pipelines . Hands-on experience with log analytics, user engagement metrics, and product performance metrics . Ability to identify patterns, trends, and anomalies in log data to generate actionable insights for product enhancements and feature optimization . Collaborate with cross-functional teams to gather business requirements and translate them into functional and technical specifications. Manage and organize large volumes of application log data using Google Big Query . Design and develop interactive dashboards to visualize key metrics and insights using any of the tool like Tableau Power BI , or ThoughtSpot AI . Create intuitive, impactful visualizations to communicate findings to teams including customer success and leadership. Ensure data integrity, consistency, and accessibility for analytical purposes. Analyse application logs to extract metrics and statistics related to product performance, customer behaviour, and user sentiment . Work closely with product teams to understand log data generated by Python-based applications . Collaborate with stakeholders to define key performance indicators (KPIs) and success metrics. Can optimize data pipelines and storage in Big Query . Strong communication and teamwork skills . Ability to learn quickly and adapt to new technologies. Excellent problem-solving skills . Preferred Responsibilities (Nice-to-Haves): Knowledge of Generative AI (GenAI) and LLM-based solutions . Experience in designing and developing dashboards using ThoughtSpot AI . Good exposure to Google Cloud Platform (GCP) . Data engineering experience with modern data warehouse architectures . Additional Responsibilities: Participate in the development of proof-of-concepts (POCs) and pilot projects. Ability to articulate ideas and points of view clearly to the team. Take ownership of data analytics and data engineering solutions . Additional Nice-to-Haves: Experience working with large datasets and distributed data processing tools such as Apache Spark or Hadoop . Familiarity with Agile development methodologies and version control systems like Git . Familiarity with ETL tools such as Informatica or Azure Data Factory Show more Show less

Senior Business Analyst Experience - 6 to 8 Yrs Location - Indore / Jaipur Basic Skills (Must Have): Strong experience in requirement elicitation and documenting business and functional requirements Hands-on experience with tools like JIRA, Confluence, Azure DevOps Ability to create BRDs, User Stories, Process Flows, and Wireframes Strong stakeholder management and communication skills Deep understanding of Agile methodologies & Scrum frameworks Experience in Backlog Grooming, Estimation, and Agile ceremonies Familiarity with SQL and advanced Excel for data analysis Exposure to AI/ML-driven solutions or products Strong problem-solving and critical thinking abilities Ability to manage multiple priorities and work in fast-paced environments Preferred Skills (Good to Have): Scrum Master Certification (CSM, PSM) Business Analytics certifications (CBAP, CCBA, PMI-PBA) Experience with wireframing/prototyping tools (e.g., Figma, Balsamiq) Exposure to BI/Analytics tools like Power BI or Tableau Familiarity with cloud platforms (e.g., AWS, Azure) Experience with API integrations and data migration projects Domain knowledge in industries such as finance, healthcare, or retail Experience working on AI/ML initiatives or with data science teams Understanding of data flow and structure in AI systems (structured/unstructured) Basic understanding of AI concepts (e.g., recommendation engines, NLP) Awareness of ethical AI considerations and data privacy best practices Any Other: Bachelor's degree in Computer Science, MCA, or related technical field Excellent interpersonal skills and customer-centric attitude Ownership mindset with leadership and mentoring skills; strong team player Flexible, adaptable, and quick learner of new domains and tools Passion for emerging technologies like AI, ML, RPA, and automation Key Responsibilities: Act as a liaison between customers, stakeholders, and technical teams Elicit, document, and manage business and functional requirements Prepare clear documentation (BRDs, user stories, use cases) Break down requirements into epics, user stories, and tasks Analyse current and future state processes; identify improvement opportunities Drive project planning, risk assessment, and effort estimation Collaborate with development, QA, and product teams for smooth delivery Assist in UAT planning and execution Participate in change management, training, and communication planning Work with data science/AI teams to translate business needs into AI/ML use cases Contribute to identifying AI opportunities across internal and customer-facing processes

Job description Basic Responsibilities (Must-Haves): 5+ years of experience in dashboard story development, dashboard creation, and data engineering pipelines . Hands-on experience with log analytics, user engagement metrics, and product performance metrics . Ability to identify patterns, trends, and anomalies in log data to generate actionable insights for product enhancements and feature optimization . Collaborate with cross-functional teams to gather business requirements and translate them into functional and technical specifications. Manage and organize large volumes of application log data using Google Big Query . Design and develop interactive dashboards to visualize key metrics and insights using any of the tool like Tableau Power BI , or ThoughtSpot AI . Create intuitive, impactful visualizations to communicate findings to teams including customer success and leadership. Ensure data integrity, consistency, and accessibility for analytical purposes. Analyse application logs to extract metrics and statistics related to product performance, customer behaviour, and user sentiment . Work closely with product teams to understand log data generated by Python-based applications . Collaborate with stakeholders to define key performance indicators (KPIs) and success metrics. Can optimize data pipelines and storage in Big Query . Strong communication and teamwork skills . Ability to learn quickly and adapt to new technologies. Excellent problem-solving skills . Preferred Responsibilities (Nice-to-Haves): Knowledge of Generative AI (GenAI) and LLM-based solutions . Experience in designing and developing dashboards using ThoughtSpot AI . Good exposure to Google Cloud Platform (GCP) . Data engineering experience with modern data warehouse architectures . Additional Responsibilities: Participate in the development of proof-of-concepts (POCs) and pilot projects. Ability to articulate ideas and points of view clearly to the team. Take ownership of data analytics and data engineering solutions . Additional Nice-to-Haves: Experience working with large datasets and distributed data processing tools such as Apache Spark or Hadoop . Familiarity with Agile development methodologies and version control systems like Git . Familiarity with ETL tools such as Informatica or Azure Data Factory

Sr Automation Eng- QAT Exp: 4-7 Years Basic (Must Have): · Having worked on 1 or more backend languages like Java, C#, etc · Knowledge of tools, concepts and methodologies of testing (Unit, Functional Testing, Component Testing, Integration Testing) and where each one applies. · Exposure to any open source testing tools like TestNG, Cucumber, Appium, Selenium Webdriver, etc. · Must understand the fundamentals of Automation frameworks and how they fit into the quality infrastructure and deployment pipelines. · Work experience and knowledge of architectures involving databases (SQL, NoSQL) , Message Queues and Caching technologies. · Familiar with SDLC/STLC or Agile processes. · Aptitude for functional testing and ensuring a high-quality user experience for products. · Aptitude for understanding and reviewing the system design & architecture, to come up with effective automation coverage. · Must be able to debug logs, troubleshoot databases, aptitude for operations principles and comfortable interacting with SRE & DevOps teams. · Passion to identify test coverage gaps in an automated suite and improvise. · Be a Go-To person in the team and be able to guide and develop junior SDETs technically. · Hands-on experience in mobile app automation is a plus · Maintain, setup, design, and configure software test environments · Excellent Communication · Testing/Automating APIs (Rest Assured, Swagger, API Fortress, Postman, Appium etc.) · Defect Tracking Good to have Skills: · Experience with multi-environment structured Test Data setup and management. · Exposure to Continuous Deployment pipelines · Knowledge of docker, and implementing the automation tests in dockerized containers in a Kubernetes environment · Certification like ISTQB, CSTE etc. will be a plus · Security and Pen testing is a plus · Mobile Testing is a plus · SQL Knowledge · Load Performance testing is a plus · Exposure to BDD and Cucumber is a plus Key Responsibilities: · Primarily responsibility for performing functional (Manual) testing. · Develop automation scripts & Framework · Building reusable components and libraries · Coach and mentor less experienced team members · Work with Scrum Team to prioritize tasks and ensure deadlines are met · Automation scripting, development of test frameworks and platforms · Reviewing acceptance criteria (ie behaviours) for accuracy, clarity and completeness · Preparing RTM · Build reusable code and libraries for future use · Independent contributor · Collaborate with development team and stakeholders · Client Communication

Job description Sr Automation Eng- QAT Exp: 4-7 Years Basic (Must Have): · Having worked on 1 or more backend languages like Java, C#, etc · Knowledge of tools, concepts and methodologies of testing (Unit, Functional Testing, Component Testing, Integration Testing) and where each one applies. · Exposure to any open source testing tools like TestNG, Cucumber, Appium, Selenium Webdriver, etc. · Must understand the fundamentals of Automation frameworks and how they fit into the quality infrastructure and deployment pipelines. · Work experience and knowledge of architectures involving databases (SQL, NoSQL) , Message Queues and Caching technologies. · Familiar with SDLC/STLC or Agile processes. · Aptitude for functional testing and ensuring a high-quality user experience for products. · Aptitude for understanding and reviewing the system design & architecture, to come up with effective automation coverage. · Must be able to debug logs, troubleshoot databases, aptitude for operations principles and comfortable interacting with SRE & DevOps teams. · Passion to identify test coverage gaps in an automated suite and improvise. · Be a Go-To person in the team and be able to guide and develop junior SDETs technically. · Hands-on experience in mobile app automation is a plus · Maintain, setup, design, and configure software test environments · Excellent Communication · Testing/Automating APIs (Rest Assured, Swagger, API Fortress, Postman, Appium etc.) · Defect Tracking Good to have Skills: · Experience with multi-environment structured Test Data setup and management. · Exposure to Continuous Deployment pipelines · Knowledge of docker, and implementing the automation tests in dockerized containers in a Kubernetes environment · Certification like ISTQB, CSTE etc. will be a plus · Security and Pen testing is a plus · Mobile Testing is a plus · SQL Knowledge · Load Performance testing is a plus · Exposure to BDD and Cucumber is a plus Key Responsibilities: · Primarily responsibility for performing functional (Manual) testing. · Develop automation scripts & Framework · Building reusable components and libraries · Coach and mentor less experienced team members · Work with Scrum Team to prioritize tasks and ensure deadlines are met · Automation scripting, development of test frameworks and platforms · Reviewing acceptance criteria (ie behaviours) for accuracy, clarity and completeness · Preparing RTM · Build reusable code and libraries for future use · Independent contributor · Collaborate with development team and stakeholders · Client Communication

Job description Sr Automation Eng- QAT Exp: 4-7 Years Basic (Must Have): · Having worked on 1 or more backend languages like Java, C#, etc · Knowledge of tools, concepts and methodologies of testing (Unit, Functional Testing, Component Testing, Integration Testing) and where each one applies. · Exposure to any open source testing tools like TestNG, Cucumber, Appium, Selenium Webdriver, etc. · Must understand the fundamentals of Automation frameworks and how they fit into the quality infrastructure and deployment pipelines. · Work experience and knowledge of architectures involving databases (SQL, NoSQL) , Message Queues and Caching technologies. · Familiar with SDLC/STLC or Agile processes. · Aptitude for functional testing and ensuring a high-quality user experience for products. · Aptitude for understanding and reviewing the system design & architecture, to come up with effective automation coverage. · Must be able to debug logs, troubleshoot databases, aptitude for operations principles and comfortable interacting with SRE & DevOps teams. · Passion to identify test coverage gaps in an automated suite and improvise. · Be a Go-To person in the team and be able to guide and develop junior SDETs technically. · Hands-on experience in mobile app automation is a plus · Maintain, setup, design, and configure software test environments · Excellent Communication · Testing/Automating APIs (Rest Assured, Swagger, API Fortress, Postman, Appium etc.) · Defect Tracking Good to have Skills: · Experience with multi-environment structured Test Data setup and management. · Exposure to Continuous Deployment pipelines · Knowledge of docker, and implementing the automation tests in dockerized containers in a Kubernetes environment · Certification like ISTQB, CSTE etc. will be a plus · Security and Pen testing is a plus · Mobile Testing is a plus · SQL Knowledge · Load Performance testing is a plus · Exposure to BDD and Cucumber is a plus Key Responsibilities: · Primarily responsibility for performing functional (Manual) testing. · Develop automation scripts & Framework · Building reusable components and libraries · Coach and mentor less experienced team members · Work with Scrum Team to prioritize tasks and ensure deadlines are met · Automation scripting, development of test frameworks and platforms · Reviewing acceptance criteria (ie behaviours) for accuracy, clarity and completeness · Preparing RTM · Build reusable code and libraries for future use · Independent contributor · Collaborate with development team and stakeholders · Client Communication

Job description Basic Responsibilities (Must-Haves): 5+ years of experience in dashboard story development, dashboard creation, and data engineering pipelines . Hands-on experience with log analytics, user engagement metrics, and product performance metrics . Ability to identify patterns, trends, and anomalies in log data to generate actionable insights for product enhancements and feature optimization . Collaborate with cross-functional teams to gather business requirements and translate them into functional and technical specifications. Manage and organize large volumes of application log data using Google Big Query . Design and develop interactive dashboards to visualize key metrics and insights using any of the tool like Tableau Power BI , or ThoughtSpot AI . Create intuitive, impactful visualizations to communicate findings to teams including customer success and leadership. Ensure data integrity, consistency, and accessibility for analytical purposes. Analyse application logs to extract metrics and statistics related to product performance, customer behaviour, and user sentiment . Work closely with product teams to understand log data generated by Python-based applications . Collaborate with stakeholders to define key performance indicators (KPIs) and success metrics. Can optimize data pipelines and storage in Big Query . Strong communication and teamwork skills . Ability to learn quickly and adapt to new technologies. Excellent problem-solving skills . Preferred Responsibilities (Nice-to-Haves): Knowledge of Generative AI (GenAI) and LLM-based solutions . Experience in designing and developing dashboards using ThoughtSpot AI . Good exposure to Google Cloud Platform (GCP) . Data engineering experience with modern data warehouse architectures . Additional Responsibilities: Participate in the development of proof-of-concepts (POCs) and pilot projects. Ability to articulate ideas and points of view clearly to the team. Take ownership of data analytics and data engineering solutions . Additional Nice-to-Haves: Experience working with large datasets and distributed data processing tools such as Apache Spark or Hadoop . Familiarity with Agile development methodologies and version control systems like Git . Familiarity with ETL tools such as Informatica or Azure Data Factory Industry IT Services and IT Consulting Employment Type Full-time

As an experienced data engineer specializing in dashboard story development and data engineering pipelines, you will play a crucial role in analyzing log data to extract actionable insights for product enhancements and feature optimization. With 5+ years of hands-on experience, you will collaborate with cross-functional teams to gather business requirements, translate them into technical specifications, and design interactive dashboards using tools like Tableau, Power BI, or ThoughtSpot AI. You will be responsible for managing large volumes of application log data using Google Big Query, ensuring data integrity, consistency, and accessibility for analytical purposes. Your expertise in identifying patterns, trends, and anomalies in log data will be instrumental in visualizing key metrics and insights to communicate findings effectively with customer success and leadership teams. In addition to your primary responsibilities, you will work closely with product teams to understand log data generated by Python-based applications, define key performance indicators (KPIs), and optimize data pipelines and storage in Big Query. Your strong communication, teamwork, problem-solving skills, and ability to learn quickly and adapt to new technologies will be essential in this role. Preferred qualifications include knowledge of Generative AI (GenAI) and LLM-based solutions, experience with ThoughtSpot AI, Google Cloud Platform (GCP), and modern data warehouse architectures. You will also have the opportunity to participate in proof-of-concepts (POCs) and pilot projects, articulate ideas clearly to the team, and take ownership of data analytics and engineering solutions. Additional nice-to-have qualifications include experience working with large datasets, distributed data processing tools like Apache Spark or Hadoop, familiarity with Agile development methodologies, and ETL tools such as Informatica or Azure Data Factory. This full-time position in the IT Services and IT Consulting industry offers a dynamic environment where you can leverage your skills to drive meaningful business outcomes.,

Company Description Emarlex Multiventure is a leading human resource staffing and consultancy firm specializing in End-to-End Recruitment Solutions. We offer cost-effective, innovative, and turnkey solutions to address complex hiring challenges. Emarlex excels in Social Media Recruitment and employs a unique referral recruitment concept. Our expertise extends to temp staffing and we are a preferred vendor for Software Product companies, IT Services, and venture-backed startups. Our comprehensive service offerings include Permanent Staffing, Contract Staffing, Recruitment Process Outsourcing (RPO), Executive Search, and Payroll Processing. Role Description This is a full-time on-site role in Jaipur for a Talent Acquisition Intern. The Talent Acquisition Intern will assist with the full-life cycle recruiting process, which includes sourcing candidates, conducting interviews, and coordinating hiring processes. They will also support employer branding initiatives and help maintain a positive candidate experience. Qualifications Skills in Full-life Cycle Recruiting and Recruiting Experience with Hiring and Interviewing processes Knowledge of Employer Branding techniques Strong communication and interpersonal skills Ability to work on-site in Jaipur Pursuing or holding a degree in Human Resources, Business Administration, or related fields is a plus

Company Description Emarlex Multiventure is a leading human resource staffing and consultancy firm specializing in End-to-End Recruitment Solutions. We offer cost-effective, innovative, and turnkey solutions to address complex hiring challenges. Emarlex excels in Social Media Recruitment and employs a unique referral recruitment concept. Our expertise extends to temp staffing and we are a preferred vendor for Software Product companies, IT Services, and venture-backed startups. Our comprehensive service offerings include Permanent Staffing, Contract Staffing, Recruitment Process Outsourcing (RPO), Executive Search, and Payroll Processing. Role Description The Talent Acquisition Intern will assist with the full-life cycle recruiting process, which includes sourcing candidates, conducting interviews, and coordinating hiring processes. They will also support employer branding initiatives and help maintain a positive candidate experience. Qualifications Skills in Full-life Cycle Recruiting and Recruiting Experience with Hiring and Interviewing processes Knowledge of Employer Branding techniques Strong communication and interpersonal skills Ability to work on-site in Jaipur Pursuing or holding a degree in Human Resources, Business Administration, or related fields is a plus

Senior Data Engineer + AI Job Summary: We are looking for a skilled and versatile Data Engineer with expertise in PySpark , Apache Spark , and Databricks , along with experience in analytics , data modeling , and Generative AI/Agentic AI solutions. This role is ideal for someone who thrives at the intersection of data engineering , AI systems , and business insights —contributing to high-impact programs with clients. Required Skills & Experience: Advanced proficiency in PySpark , Apache Spark , and Databricks for batch and streaming data pipelines. Strong experience with SQL for data analysis, transformation, and modeling. Expertise in data visualization and dashboarding tools (Power BI, Tableau, Looker). Solid understanding of data warehouse design , relational databases (PostgreSQL, Snowflake, SQL Server), and data lakehouse architectures. Exposure to Generative AI , RAG , embedding models , and vector databases (e.g., FAISS, Pinecone, ChromaDB). Experience with Agentic AI frameworks : LangChain, Haystack, CrewAI, or similar. Familiarity with cloud services for data and AI (Azure, AWS, or GCP). Excellent problem-solving and collaboration skills with an ability to bridge engineering and business needs. Preferred Skills: Experience with MLflow , Delta Live Tables , or other Databricks-native AI tools. Understanding of prompt engineering , LLM deployment , and multi-agent orchestration . Knowledge of CI/CD , Git , Docker , and DevOps pipelines. Awareness of Responsible AI , data privacy regulations , and enterprise data compliance . Background in consulting, enterprise analytics, or AI/ML product development. Key Responsibilities: Design, build, and optimize distributed data pipelines using PySpark , Apache Spark , and Databricks to support both analytics and AI workloads. Support RAG pipelines , embedding generation , and data pre-processing for LLM applications. Create and maintain interactive dashboards and BI reports using Power BI , Tableau , or Looker for business stakeholders and consultants. Conduct adhoc data analysis to drive data-driven decision making and enable rapid insight generation. Develop and maintain robust data warehouse schemas , star/snowflake models , and support data lake architecture . Integrate with and support LLM agent frameworks such as LangChain , LlamaIndex , Haystack , or CrewAI for intelligent workflow automation. Ensure data pipeline monitoring, cost optimization, and scalability in cloud environments (Azure/AWS/GCP). Collaborate with cross-functional teams including AI scientists, analysts, and business teams to drive use-case delivery. Maintain strong data governance , lineage , and metadata management practices using tools like Azure Purview or DataHub .

Job Description: Seeking a talented and motivated Software Developer/Analyst with 2 to 5 years of experience to join our development team. In this role, you will contribute to the development of robust and scalable software solutions, working with technologies such as Java, Angular, Spring, and databases. You will work on the design, implementation, and maintenance of applications, ensuring high performance, reliability, and user satisfaction. This position requires flexibility to work across any shift, including nights, weekends, and holidays when needed. Key Responsibilities:  Software Development: Design, develop, and maintain software applications using Java, Angular, Spring framework, and relational databases (e.g., MySQL, PostgreSQL).  Full-Stack Development: Collaborate in both front-end and back-end development, ensuring seamless integration between user interfaces (Angular) and backend services (Java, Spring).  Code Quality: Write clean, scalable, and efficient code while adhering to best practices and development standards.  Database Design: Work with relational databases, optimizing queries, designing schemas, and ensuring efficient data storage.  Application Performance: Ensure optimal performance of applications by identifying and fixing bottlenecks or bugs in both client and server-side code.  Troubleshooting & Debugging: Diagnose and resolve software issues, conducting root cause analysis and implementing solutions in a timely manner.  Collaboration: Work closely with cross-functional teams including other developers, QA engineers, and product managers to deliver high-quality software solutions.  Code Reviews & Documentation: Participate in code reviews to ensure the quality of code, and maintain comprehensive technical documentation.  Continuous Improvement: Stay updated with emerging technologies and development trends to continuously improve the software development process and codebase.  Testing: Write unit tests and integration tests to ensure the reliability and stability of the codebase. Requirements:  Experience: 2 to 5 years of professional experience in software development, with a strong focus on Java, Angular, and Spring.  Technical Skills: o Strong proficiency in Java and Spring Framework (Spring Boot, Spring MVC). o Hands-on experience with Angular for front-end development. o Experience working with relational databases (Oracle, MySQL, PostgreSQL, etc.), including writing efficient SQL queries and designing database schemas. o Familiarity with RESTful APIs, web services, and microservices architecture. o Knowledge of front-end technologies such as HTML, CSS, and JavaScript.  Version Control: Experience with version control systems such as SVN, Git.  Problem-Solving: Strong analytical and debugging skills, with the ability to solve complex technical problems.  Communication: Excellent communication skills and ability to work effectively in a team environment.  Shift Flexibility: Willingness to work flexible shifts, including nights, weekends, and holidays, depending on project or business requirements.  Attention to Detail: Strong attention to detail, with the ability to deliver high-quality work on time. Preferred Qualifications:  Experience with cloud technologies (AWS, Azure) and containerization (Docker, Kubernetes).  Familiarity with CI/CD pipelines and automated testing frameworks.  Knowledge of Agile methodologies and working in an Agile team environment.  Familiarity with unit testing frameworks such as JUnit, Mockito, or similar.  Exposure to microservices architecture and related technologies. Qualification: B.E / B.Tech / MCA / Masters in Computer Science

As a Senior Data Engineer + AI, you will play a crucial role in designing and optimizing distributed data pipelines using PySpark, Apache Spark, and Databricks to cater to both analytics and AI workloads. Your expertise in PySpark, Apache Spark, and Databricks for batch and streaming data pipelines will be instrumental in contributing to high-impact programs with clients. Your strong SQL skills for data analysis, transformation, and modeling will enable you to drive data-driven decision-making and facilitate rapid insight generation. Your responsibilities will involve supporting RAG pipelines, embedding generation, and data pre-processing for LLM applications, as well as creating and maintaining interactive dashboards and BI reports using tools such as Power BI, Tableau, or Looker. You will collaborate with cross-functional teams, including AI scientists, analysts, and business teams, to ensure the successful delivery of use cases. In this role, you will need to have a solid understanding of data warehouse design, relational databases such as PostgreSQL, Snowflake, SQL Server, as well as data lakehouse architectures. Your familiarity with cloud services for data and AI, such as Azure, AWS, or GCP, will be essential for ensuring data pipeline monitoring, cost optimization, and scalability in cloud environments. Furthermore, your exposure to Generative AI, RAG, embedding models, and vector databases like FAISS, Pinecone, ChromaDB, as well as experience with Agentic AI frameworks such as LangChain, Haystack, CrewAI, will be beneficial. Your knowledge of MLflow, Delta Live Tables, or other Databricks-native AI tools, CI/CD, Git, Docker, and DevOps pipelines will also be advantageous in this role. If you have a background in consulting, enterprise analytics, or AI/ML product development, it will further enhance your ability to excel in this position. Your excellent problem-solving and collaboration skills, coupled with your ability to bridge engineering and business needs, will be key to your success as a Senior Data Engineer + AI.,

Company Description Emarlex Multiventure is a leading human resource staffing and consultancy firm specializing in End-to-End Recruitment Solutions. We offer cost-effective, innovative, and turnkey solutions to address complex hiring challenges. Emarlex excels in Social Media Recruitment and employs a unique referral recruitment concept. Our expertise extends to temp staffing and we are a preferred vendor for Software Product companies, IT Services, and venture-backed startups. Our comprehensive service offerings include Permanent Staffing, Contract Staffing, Recruitment Process Outsourcing (RPO), Executive Search, and Payroll Processing. Role Description This is a full-time on-site role in Jaipur for a Talent Acquisition Intern. The Talent Acquisition Intern will assist with the full-life cycle recruiting process, which includes sourcing candidates, conducting interviews, and coordinating hiring processes. They will also support employer branding initiatives and help maintain a positive candidate experience. Qualifications Skills in Full-life Cycle Recruiting and Recruiting Experience with Hiring and Interviewing processes Knowledge of Employer Branding techniques Strong communication and interpersonal skills Ability to work on-site in Jaipur Pursuing or holding a degree in Human Resources, Business Administration, or related fields is a plus

???? Were Hiring: Senior Data Engineer 7+ Years Experience ???? Location: Gurugram, Haryana, India ???? Duration: 6 Months C2H (Contract to Hire) ???? Apply Now: [HIDDEN TEXT] ???? What Were Looking For: ? 7+ years of experience in data engineering ? Strong expertise in building scalable, robust batch and real-time data pipelines ? Proficiency in AWS Data Services (S3, Glue, Athena, EMR, Kinesis, etc.) ? Advanced SQL skills and deep knowledge of file formats: Parquet, Delta Lake, Iceberg, Hudi ? Hands-on experience with CDC patterns ? Experience with stream processing (Apache Flink , Kafka Streams) and distributed frameworks like PySpark ? Expertise in Apache Airflow for workflow orchestration ? Solid foundation in data warehousing concepts and experience with both relational and NoSQL databases ? Strong communication and problem-solving skills ? Passion for staying up to date with the latest in the data tech landscape Show more Show less