8236 Hadoop Jobs - Page 5

You are a highly skilled and motivated Technical Lead who will be joining our growing team. Your role will involve leading and delivering complex technical projects in areas such as AI/ML, Full Stack Development, and Cloud-based solutions. Your responsibilities will include overseeing the end-to-end execution of multiple software development projects, focusing on AI/ML initiatives and products to ensure timely delivery and high quality. You will be responsible for architecture design, technical planning, and code quality across the team, specifically for scalable AI/ML solutions, robust data pipelines, and integration of models into production systems. Collaboration with stakeholders, both internal and external, will be a key part of your role. You will gather requirements for AI/ML features, provide progress updates, and effectively manage expectations. Mentoring and guiding developers to foster a culture of continuous improvement and technical excellence, especially in AI/ML best practices, model development, and ethical AI considerations, will be essential. You will work closely with cross-functional teams, including QA, DevOps, and UI/UX designers, to seamlessly integrate AI/ML models and applications into broader systems. Implementing best practices in development, deployment, and version control with a strong emphasis on MLOps and reproducible AI/ML workflows is crucial. Tracking project milestones, managing technical risks, and ensuring that AI/ML projects align with overarching business goals will be part of your responsibilities. Participating in client calls to provide technical insights and solution presentations, demonstrating the value and capabilities of our AI/ML offerings, will be required. Driving research, experimentation, and adoption of cutting-edge AI/ML algorithms and techniques to enhance product capabilities is also expected from you. Required Skills: - Strong hands-on experience in at least one Fullstack framework (e.g., MERN stack, Python with React). - Proven experience managing and delivering end-to-end AI/ML projects or products. - Proficiency in major AI/ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn. - Solid experience with data processing, feature engineering, and data pipeline construction for machine learning workloads. - Proficiency in project tracking tools like Jira, Trello, or Asana. - Solid understanding of SDLC, Agile methodologies, and CI/CD practices. - Strong knowledge of cloud platforms like AWS, Azure, or GCP, especially their AI/ML services. - Excellent problem-solving, communication, and leadership skills. Preferred Qualifications: - Bachelor's or Master's degree in a related field. - Experience with containerization technologies and microservices architecture. - Exposure to MLOps practices and tools. - Prior experience in a client-facing technical leadership role. - Familiarity with big data technologies. - Contributions to open-source AI/ML projects or relevant publications are a plus. (ref:hirist.tech),

Join the leader in entertainment innovation and help design the future at Dolby. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you'll see and hear the results of your work everywhere, from movie theaters to smartphones. Dolby continues to revolutionize how people create, deliver, and enjoy entertainment worldwide. To achieve this, Dolby seeks the absolute best talent. Dolby offers a collegial culture, challenging projects, excellent compensation and benefits, and a Flex Work approach that is truly flexible to support where, when, and how you do your best work. At Dolby, the aim is to change the way the world experiences sight and sound. Dolby enables people to experience music, movies, videos, and pictures in all their intended grandeur, making life and work more meaningful and immersive. Dolby provides technology to content creators, owners, distributors, manufacturers of TV, mobile, and PC, as well as social and media platforms, so they can truly delight their customers. Advanced Technology Group (ATG) is the research and technology arm of Dolby Labs, focusing on innovating technologies in audio, video, AR/VR, gaming, music, and movies. Various areas of expertise related to computer science and electrical engineering are highly relevant to the research conducted by ATG. As a talented Applied Researcher at Dolby, you will have the opportunity to advance the state of the art in technologies of interest to Dolby and society at large. Research areas at Dolby Laboratories include large-scale cloud and edge data platforms and services, accelerating insight discovery from data, and topics such as distributed systems, stream processing, edge computing, applied machine learning and AI, big graphs, natural language processing, big data management, and heterogeneous data analytics. Key Responsibilities: - Develop platforms and tools to enable interactive and immersive data-driven experiences utilizing AI-based techniques. - Deploy AI/ML training and inference algorithms in distributed computing environments. - Partner with ATG researchers on opportunities in adjacent research domains such as applied AI and machine learning in audio/video domains. Requirements for Success: - Technical depth: Ability to implement scalable AI/ML libraries and platforms for real-time processing and knowledge of Audio/Video streaming formats. - Openness to explore new technologies and innovate in new areas. - Ability to invent and innovate technologies that enhance the sight and sound associated with digital content consumption. - Sense of urgency to respond to changing trends and technologies. - Collaborative mindset to work with peers and external partners to develop industry-leading technologies. Background: - PhD in Computer Science or related field with proven R&D experience or exceptional Master's candidates with 4+ years of experience. - Expertise in deep learning frameworks and ML libraries such as TensorFlow, PyTorch, scikit-learn, Spark MLLib. - Experience in large-scale distributed systems like Hadoop, Spark, etc. - Proficiency in Python, C++, or related languages. - Strong analytical, problem-solving, communication, and presentation skills. - Experience with AWS, GCP, DevOps, CI/CD, and UNIX/Linux commands. - Strong publication record in leading IEEE, ACM conferences and journals. Join Dolby and be part of a team that is shaping the future of entertainment technology with innovative research and cutting-edge solutions.,

You will be part of Maruti Suzuki's Analytics Centre of Excellence (ACE) CoE team as a Data Scientist. Your responsibilities will include designing and implementing workflows of Linear and Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python. You should have demonstrable competency in Probability and Statistics, with the ability to use ideas of Data Distributions, Hypothesis Testing, and other Statistical Tests. Experience in handling outliers, denoising data, and managing the impact of pandemic-like situations will be crucial. Additionally, you will be expected to perform Exploratory Data Analysis (EDA) of raw data, conduct feature engineering where applicable, and showcase competency in Data Visualization using the Python/R Data Science Stack. Leveraging cloud platforms for training and deploying large-scale solutions, as well as training and evaluating ML models using various machine learning and deep learning algorithms, will be part of your role. You will also need to retrain and maintain model accuracy in deployment and package & deploy large-scale models on on-premise systems using multiple approaches including docker. Taking complete ownership of the assigned project, working in Agile environments, and being well-versed with project tracking tools like JIRA or equivalent will be expected. Your competencies should include knowledge of cloud platforms (AWS, Azure, and GCP), exposure to NoSQL databases (MongoDB, Cassandra, Cosmos DB, HBase), and forecasting experience in products like SAP, Oracle, Power BI, Qlik, etc. Proficiency in Excel (Power Pivot, Power Query, Macros, Charts), experience with large datasets and distributed computing (Hive/Hadoop/Spark), and transfer learning using state-of-the-art models in different spaces such as vision, NLP, and speech will be beneficial. Integration with external services and Cloud API, as well as working with data annotation approaches and tools for text, images, and videos, will also be part of your responsibilities. The ideal candidate should have a minimum of 2 years and a maximum of 8 years of work experience, along with a Bachelor of Technology (B.Tech) or equivalent educational qualification.,

You should have 5-12 years of experience in Big Data & Data related technologies, with expertise in distributed computing principles. Your skills should include an expert level understanding of Apache Spark and hands-on programming with Python. Proficiency in Hadoop v2, Map Reduce, HDFS, and Sqoop is required. Experience in building stream-processing systems using technologies like Apache Storm or Spark-Streaming, as well as working with messaging systems such as Kafka or RabbitMQ, will be beneficial. A good understanding of Big Data querying tools like Hive and Impala, along with integration of data from multiple sources including RDBMS, ERP, and Files, is necessary. You should possess knowledge of SQL queries, joins, stored procedures, and relational schemas. Experience with NoSQL databases like HBase, Cassandra, and MongoDB, along with ETL techniques and frameworks, is expected. Performance tuning of Spark Jobs and familiarity with native Cloud data services like AWS or AZURE Databricks is essential. The role requires the ability to efficiently lead a team, design and implement Big data solutions, and work as a practitioner of AGILE methodology. This position falls under the category of Data Engineer and is suitable for individuals with expertise in ML/AI Engineers, Data Scientists, and Software Engineers.,

Description GPP Database Link (https://cummins365.sharepoint.com/sites/CS38534/) Job Summary Leads projects for design, development and maintenance of a data and analytics platform. Effectively and efficiently process, store and make data available to analysts and other consumers. Works with key business stakeholders, IT experts and subject-matter experts to plan, design and deliver optimal analytics and data science solutions. Works on one or many product teams at a time. Key Responsibilities Designs and automates deployment of our distributed system for ingesting and transforming data from various types of sources (relational, event-based, unstructured). Designs and implements framework to continuously monitor and troubleshoot data quality and data integrity issues. Implements data governance processes and methods for managing metadata, access, retention to data for internal and external users. Designs and provide guidance on building reliable, efficient, scalable and quality data pipelines with monitoring and alert mechanisms that combine a variety of sources using ETL/ELT tools or scripting languages. Designs and implements physical data models to define the database structure. Optimizing database performance through efficient indexing and table relationships. Participates in optimizing, testing, and troubleshooting of data pipelines. Designs, develops and operates large scale data storage and processing solutions using different distributed and cloud based platforms for storing data (e.g. Data Lakes, Hadoop, Hbase, Cassandra, MongoDB, Accumulo, DynamoDB, others). Uses innovative and modern tools, techniques and architectures to partially or completely automate the most-common, repeatable and tedious data preparation and integration tasks in order to minimize manual and error-prone processes and improve productivity. Assists with renovating the data management infrastructure to drive automation in data integration and management. Ensures the timeliness and success of critical analytics initiatives by using agile development technologies such as DevOps, Scrum, Kanban Coaches and develops less experienced team members. Responsibilities Competencies: System Requirements Engineering - Uses appropriate methods and tools to translate stakeholder needs into verifiable requirements to which designs are developed; establishes acceptance criteria for the system of interest through analysis, allocation and negotiation; tracks the status of requirements throughout the system lifecycle; assesses the impact of changes to system requirements on project scope, schedule, and resources; creates and maintains information linkages to related artifacts. Collaborates - Building partnerships and working collaboratively with others to meet shared objectives. Communicates effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences. Customer focus - Building strong customer relationships and delivering customer-centric solutions. Decision quality - Making good and timely decisions that keep the organization moving forward. Data Extraction - Performs data extract-transform-load (ETL) activities from variety of sources and transforms them for consumption by various downstream applications and users using appropriate tools and technologies. Programming - Creates, writes and tests computer code, test scripts, and build scripts using algorithmic analysis and design, industry standards and tools, version control, and build and test automation to meet business, technical, security, governance and compliance requirements. Quality Assurance Metrics - Applies the science of measurement to assess whether a solution meets its intended outcomes using the IT Operating Model (ITOM), including the SDLC standards, tools, metrics and key performance indicators, to deliver a quality product. Solution Documentation - Documents information and solution based on knowledge gained as part of product development activities; communicates to stakeholders with the goal of enabling improved productivity and effective knowledge transfer to others who were not originally part of the initial learning. Solution Validation Testing - Validates a configuration item change or solution using the Function's defined best practices, including the Systems Development Life Cycle (SDLC) standards, tools and metrics, to ensure that it works as designed and meets customer requirements. Data Quality - Identifies, understands and corrects flaws in data that supports effective information governance across operational business processes and decision making. Problem Solving - Solves problems and may mentor others on effective problem solving by using a systematic analysis process by leveraging industry standard methodologies to create problem traceability and protect the customer; determines the assignable cause; implements robust, data-based solutions; identifies the systemic root causes and ensures actions to prevent problem reoccurrence are implemented. Values differences - Recognizing the value that different perspectives and cultures bring to an organization. Education, Licenses, Certifications College, university, or equivalent degree in relevant technical discipline, or relevant equivalent experience required. This position may require licensing for compliance with export controls or sanctions regulations. Experience Intermediate experience in a relevant discipline area is required. Knowledge of the latest technologies and trends in data engineering are highly preferred and includes: 5-8 years of experince Familiarity analyzing complex business systems, industry requirements, and/or data regulations Background in processing and managing large data sets Design and development for a Big Data platform using open source and third-party tools SPARK, Scala/Java, Map-Reduce, Hive, Hbase, and Kafka or equivalent college coursework SQL query language Clustered compute cloud-based implementation experience Experience developing applications requiring large file movement for a Cloud-based environment and other data extraction tools and methods from a variety of sources Experience in building analytical solutions Intermediate Experiences In The Following Are Preferred Experience with IoT technology Experience in Agile software development Qualifications Work closely with business Product Owner to understand product vision. 2) Play a key role across DBU Data & Analytics Power Cells to define, develop data pipelines for efficient data transport into Cummins Digital Core ( Azure DataLake, Snowflake). 3) Collaborate closely with AAI Digital Core and AAI Solutions Architecture to ensure alignment of DBU project data pipeline design standards. 4) Independently design, develop, test, implement complex data pipelines from transactional systems (ERP, CRM) to Datawarehouses, DataLake. 5) Responsible for creation, maintenence and management of DBU Data & Analytics data engineering documentation and standard operating procedures (SOP). 6) Take part in evaluation of new data tools, POCs and provide suggestions. 7) Take full ownership of the developed data pipelines, providing ongoing support for enhancements and performance optimization. 8) Proactively address and resolve issues that compromise data accuracy and usability. Preferred Skills Programming Languages: Proficiency in languages such as Python, Java, and/or Scala. Database Management: Expertise in SQL and NoSQL databases. Big Data Technologies: Experience with Hadoop, Spark, Kafka, and other big data frameworks. Cloud Services: Experience with Azure, Databricks and AWS cloud platforms. ETL Processes: Strong understanding of Extract, Transform, Load (ETL) processes. Data Replication: Working knowledge of replication technologies like Qlik Replicate is a plus API: Working knowledge of API to consume data from ERP, CRM Job Systems/Information Technology Organization Cummins Inc. Role Category Remote Job Type Exempt - Experienced ReqID 2417810 Relocation Package Yes

Description GPP Database Link (https://cummins365.sharepoint.com/sites/CS38534/) Job Summary Leads projects for design, development and maintenance of a data and analytics platform. Effectively and efficiently process, store and make data available to analysts and other consumers. Works with key business stakeholders, IT experts and subject-matter experts to plan, design and deliver optimal analytics and data science solutions. Works on one or many product teams at a time. Key Responsibilities Designs and automates deployment of our distributed system for ingesting and transforming data from various types of sources (relational, event-based, unstructured). Designs and implements framework to continuously monitor and troubleshoot data quality and data integrity issues. Implements data governance processes and methods for managing metadata, access, retention to data for internal and external users. Designs and provide guidance on building reliable, efficient, scalable and quality data pipelines with monitoring and alert mechanisms that combine a variety of sources using ETL/ELT tools or scripting languages. Designs and implements physical data models to define the database structure. Optimizing database performance through efficient indexing and table relationships. Participates in optimizing, testing, and troubleshooting of data pipelines. Designs, develops and operates large scale data storage and processing solutions using different distributed and cloud based platforms for storing data (e.g. Data Lakes, Hadoop, Hbase, Cassandra, MongoDB, Accumulo, DynamoDB, others). Uses innovative and modern tools, techniques and architectures to partially or completely automate the most-common, repeatable and tedious data preparation and integration tasks in order to minimize manual and error-prone processes and improve productivity. Assists with renovating the data management infrastructure to drive automation in data integration and management. Ensures the timeliness and success of critical analytics initiatives by using agile development technologies such as DevOps, Scrum, Kanban Coaches and develops less experienced team members. Responsibilities Competencies: System Requirements Engineering - Uses appropriate methods and tools to translate stakeholder needs into verifiable requirements to which designs are developed; establishes acceptance criteria for the system of interest through analysis, allocation and negotiation; tracks the status of requirements throughout the system lifecycle; assesses the impact of changes to system requirements on project scope, schedule, and resources; creates and maintains information linkages to related artifacts. Collaborates - Building partnerships and working collaboratively with others to meet shared objectives. Communicates effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences. Customer focus - Building strong customer relationships and delivering customer-centric solutions. Decision quality - Making good and timely decisions that keep the organization moving forward. Data Extraction - Performs data extract-transform-load (ETL) activities from variety of sources and transforms them for consumption by various downstream applications and users using appropriate tools and technologies. Programming - Creates, writes and tests computer code, test scripts, and build scripts using algorithmic analysis and design, industry standards and tools, version control, and build and test automation to meet business, technical, security, governance and compliance requirements. Quality Assurance Metrics - Applies the science of measurement to assess whether a solution meets its intended outcomes using the IT Operating Model (ITOM), including the SDLC standards, tools, metrics and key performance indicators, to deliver a quality product. Solution Documentation - Documents information and solution based on knowledge gained as part of product development activities; communicates to stakeholders with the goal of enabling improved productivity and effective knowledge transfer to others who were not originally part of the initial learning. Solution Validation Testing - Validates a configuration item change or solution using the Function's defined best practices, including the Systems Development Life Cycle (SDLC) standards, tools and metrics, to ensure that it works as designed and meets customer requirements. Data Quality - Identifies, understands and corrects flaws in data that supports effective information governance across operational business processes and decision making. Problem Solving - Solves problems and may mentor others on effective problem solving by using a systematic analysis process by leveraging industry standard methodologies to create problem traceability and protect the customer; determines the assignable cause; implements robust, data-based solutions; identifies the systemic root causes and ensures actions to prevent problem reoccurrence are implemented. Values differences - Recognizing the value that different perspectives and cultures bring to an organization. Education, Licenses, Certifications College, university, or equivalent degree in relevant technical discipline, or relevant equivalent experience required. This position may require licensing for compliance with export controls or sanctions regulations. Experience Intermediate experience in a relevant discipline area is required. Knowledge of the latest technologies and trends in data engineering are highly preferred and includes: 5-8 years of experience Familiarity analyzing complex business systems, industry requirements, and/or data regulations Background in processing and managing large data sets Design and development for a Big Data platform using open source and third-party tools SPARK, Scala/Java, Map-Reduce, Hive, Hbase, and Kafka or equivalent college coursework SQL query language Clustered compute cloud-based implementation experience Experience developing applications requiring large file movement for a Cloud-based environment and other data extraction tools and methods from a variety of sources Experience in building analytical solutions Intermediate Experiences In The Following Are Preferred Experience with IoT technology Experience in Agile software development Qualifications Work closely with business Product Owner to understand product vision. 2) Play a key role across DBU Data & Analytics Power Cells to define, develop data pipelines for efficient data transport into Cummins Digital Core ( Azure DataLake, Snowflake). 3) Collaborate closely with AAI Digital Core and AAI Solutions Architecture to ensure alignment of DBU project data pipeline design standards. 4) Independently design, develop, test, implement complex data pipelines from transactional systems (ERP, CRM) to Datawarehouses, DataLake. 5) Responsible for creation, maintenence and management of DBU Data & Analytics data engineering documentation and standard operating procedures (SOP). 6) Take part in evaluation of new data tools, POCs and provide suggestions. 7) Take full ownership of the developed data pipelines, providing ongoing support for enhancements and performance optimization. 8) Proactively address and resolve issues that compromise data accuracy and usability. Preferred Skills Programming Languages: Proficiency in languages such as Python, Java, and/or Scala. Database Management: Expertise in SQL and NoSQL databases. Big Data Technologies: Experience with Hadoop, Spark, Kafka, and other big data frameworks. Cloud Services: Experience with Azure, Databricks and AWS cloud platforms. ETL Processes: Strong understanding of Extract, Transform, Load (ETL) processes. Data Replication: Working knowledge of replication technologies like Qlik Replicate is a plus API: Working knowledge of API to consume data from ERP, CRM Job Systems/Information Technology Organization Cummins Inc. Role Category Remote Job Type Exempt - Experienced ReqID 2417809 Relocation Package Yes

Description GPP Database Link (https://cummins365.sharepoint.com/sites/CS38534/) Job Summary Supports, develops and maintains a data and analytics platform. Effectively and efficiently process, store and make data available to analysts and other consumers. Works with the Business and IT teams to understand the requirements to best leverage the technologies to enable agile data delivery at scale. Key Responsibilities Implements and automates deployment of our distributed system for ingesting and transforming data from various types of sources (relational, event-based, unstructured). Implements methods to continuously monitor and troubleshoot data quality and data integrity issues. Implements data governance processes and methods for managing metadata, access, retention to data for internal and external users. Develops reliable, efficient, scalable and quality data pipelines with monitoring and alert mechanisms that combine a variety of sources using ETL/ELT tools or scripting languages. Develops physical data models and implements data storage architectures as per design guidelines. Analyzes complex data elements and systems, data flow, dependencies, and relationships in order to contribute to conceptual physical and logical data models. Participates in testing and troubleshooting of data pipelines. Develops and operates large scale data storage and processing solutions using different distributed and cloud based platforms for storing data (e.g. Data Lakes, Hadoop, Hbase, Cassandra, MongoDB, Accumulo, DynamoDB, others). Uses agile development technologies, such as DevOps, Scrum, Kanban and continuous improvement cycle, for data driven application. Responsibilities Competencies: System Requirements Engineering - Uses appropriate methods and tools to translate stakeholder needs into verifiable requirements to which designs are developed; establishes acceptance criteria for the system of interest through analysis, allocation and negotiation; tracks the status of requirements throughout the system lifecycle; assesses the impact of changes to system requirements on project scope, schedule, and resources; creates and maintains information linkages to related artifacts. Collaborates - Building partnerships and working collaboratively with others to meet shared objectives. Communicates effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences. Customer focus - Building strong customer relationships and delivering customer-centric solutions. Decision quality - Making good and timely decisions that keep the organization moving forward. Data Extraction - Performs data extract-transform-load (ETL) activities from variety of sources and transforms them for consumption by various downstream applications and users using appropriate tools and technologies. Programming - Creates, writes and tests computer code, test scripts, and build scripts using algorithmic analysis and design, industry standards and tools, version control, and build and test automation to meet business, technical, security, governance and compliance requirements. Quality Assurance Metrics - Applies the science of measurement to assess whether a solution meets its intended outcomes using the IT Operating Model (ITOM), including the SDLC standards, tools, metrics and key performance indicators, to deliver a quality product. Solution Documentation - Documents information and solution based on knowledge gained as part of product development activities; communicates to stakeholders with the goal of enabling improved productivity and effective knowledge transfer to others who were not originally part of the initial learning. Solution Validation Testing - Validates a configuration item change or solution using the Function's defined best practices, including the Systems Development Life Cycle (SDLC) standards, tools and metrics, to ensure that it works as designed and meets customer requirements. Data Quality - Identifies, understands and corrects flaws in data that supports effective information governance across operational business processes and decision making. Problem Solving - Solves problems and may mentor others on effective problem solving by using a systematic analysis process by leveraging industry standard methodologies to create problem traceability and protect the customer; determines the assignable cause; implements robust, data-based solutions; identifies the systemic root causes and ensures actions to prevent problem reoccurrence are implemented. Values differences - Recognizing the value that different perspectives and cultures bring to an organization. Education, Licenses, Certifications College, university, or equivalent degree in relevant technical discipline, or relevant equivalent experience required. This position may require licensing for compliance with export controls or sanctions regulations. Experience 4-5 Years of experience. Relevant experience preferred such as working in a temporary student employment, intern, co-op, or other extracurricular team activities. Knowledge of the latest technologies in data engineering is highly preferred and includes: Exposure to Big Data open source SPARK, Scala/Java, Map-Reduce, Hive, Hbase, and Kafka or equivalent college coursework SQL query language Clustered compute cloud-based implementation experience Familiarity developing applications requiring large file movement for a Cloud-based environment Exposure to Agile software development Exposure to building analytical solutions Exposure to IoT technology Qualifications Work closely with business Product Owner to understand product vision. 2) Participate in DBU Data & Analytics Power Cells to define, develop data pipelines for efficient data transport into Cummins Digital Core ( Azure DataLake, Snowflake). 3) Collaborate closely with AAI Digital Core and AAI Solutions Architecture to ensure alignment of DBU project data pipeline design standards. 4) Work under limited supervision to design, develop, test, implement complex data pipelines from transactional systems (ERP, CRM) to Datawarehouses, DataLake. 5) Responsible for creation of DBU Data & Analytics data engineering documentation and standard operating procedures (SOP) with guidance and help from senior data engineers. 6) Take part in evaluation of new data tools, POCs with guidance and help from senior data engineers. 7) Take ownership of the developed data pipelines, providing ongoing support for enhancements and performance optimization under limited supervision. 8) Assist to resolve issues that compromise data accuracy and usability. Programming Languages: Proficiency in languages such as Python, Java, and/or Scala. Database Management: Intermediate level expertise in SQL and NoSQL databases. Big Data Technologies: Experience with Hadoop, Spark, Kafka, and other big data frameworks. Cloud Services: Experience with Azure, Databricks and AWS cloud platforms. ETL Processes: Strong understanding of Extract, Transform, Load (ETL) processes. API: Working knowledge of API to consume data from ERP, CRM Job Systems/Information Technology Organization Cummins Inc. Role Category Remote Job Type Exempt - Experienced ReqID 2417808 Relocation Package Yes

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Databricks Unified Data Analytics Platform, Informatica Intelligent Cloud Services Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure project milestones are met, facilitating discussions to address challenges, and guiding your team through the development process while maintaining a focus on quality and efficiency. You will also engage in strategic planning to align application development with organizational goals, ensuring that all stakeholders are informed and involved throughout the project lifecycle. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate training and development opportunities for team members to enhance their skills. - Monitor project progress and implement necessary adjustments to meet deadlines. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform, Informatica Intelligent Cloud Services. - Good To Have Skills: Experience with cloud-based data integration tools. - Strong understanding of data engineering principles and practices. - Experience with big data technologies such as Apache Spark and Hadoop. - Familiarity with data governance and data quality frameworks. Additional Information: - The candidate should have minimum 7.5 years of experience in Databricks Unified Data Analytics Platform. - This position is based in Mumbai. - A 15 years full time education is required.

AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Senior Data Scientist Location: Bangalore Reporting to: Senior Manager Analytics 1) Purpose of the role We seek a highly skilled Senior Machine Learning Engineer / Senior Data Scientist to design, develop, and deploy advanced machine learning models and systems. The ideal candidate will have deep expertise in machine learning algorithms, data processing, and model deployment, with a proven track record of delivering scalable AI solutions in production environments. This role requires strong technical leadership, collaboration with cross-functional teams, and a passion for solving complex problems. 2) Key tasks & accountabilities Model Development: Design, develop, and optimize machine learning models for various applications, including but not limited to natural language processing, computer vision, and predictive analytics. Data Pipeline Management: Build and maintain robust data pipelines for preprocessing, feature engineering, and data augmentation to support model training and evaluation. Model Deployment: Deploy machine learning models into production environments, ensuring scalability, reliability, and performance using tools like Docker, Kubernetes, or cloud platforms preferably Azure. Research and Innovation: Stay updated on the latest advancements in machine learning and AI, incorporating state-of-the-art techniques into projects to improve performance and efficiency. Collaboration: Work closely with data scientists, software engineers, product managers, and other stakeholders to translate business requirements into technical solutions. Performance Optimization: Monitor and optimize model performance, addressing issues like model drift, bias, and scalability challenges. Code Quality: Write clean, maintainable, and well-documented code, adhering to best practices for software development and version control (e.g., Git). Mentorship: Provide technical guidance and mentorship to junior engineers, fostering a culture of learning and innovation within the team. 3) Qualifications, Experience, Skills Level of educational attainment required Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field. PhD is a plus. Previous work experience 5+ years of experience in machine learning, data science, or a related field. Proven experience in designing, training, and deploying machine learning models in production. Hands-on experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes). Technical Skills required Proficiency in Python and libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face. Strong understanding of machine learning algorithms (e.g., regression, classification, clustering, deep learning, reinforcement learning, optimization). Experience with big data technologies (e.g., Hadoop, Spark, or similar) and data processing pipelines. Familiarity with MLOps practices, including model versioning, monitoring, and CI/CD for ML workflows. Knowledge of software engineering principles, including object-oriented programming, API development, and microservices architecture. Other Skills required Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to work in a fast-paced, dynamic environment and manage multiple priorities. Experience with generative AI models or large language models (LLMs). Familiarity with distributed computing or high-performance computing environments. And above all of this, an undying love for beer! We dream big to create future with more cheers

Responsible for developing, optimize, and maintaining business intelligence and data warehouse systems, ensuring secure, efficient data storage and retrieval, enabling self-service data exploration, and supporting stakeholders with insightful reporting and analysis. Grade - T5 Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date Accountabilities What your main responsibilities are: Data Pipeline - Develop and maintain scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity Data Integration - Connect offline and online data to continuously improve overall understanding of customer behavior and journeys for personalization. Data pre-processing including collecting, parsing, managing, analyzing and visualizing large sets of data Data Quality Management - Cleanse the data and improve data quality and readiness for analysis. Drive standards, define and implement/improve data governance strategies and enforce best practices to scale data analysis across platforms Data Transformation - Processes data by cleansing data and transforming them to proper storage structure for the purpose of querying and analysis using ETL and ELT process Data Enablement - Ensure data is accessible and useable to wider enterprise to enable a deeper and more timely understanding of operation. Qualifications & Specifications Masters /Bachelor’s degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Strong programming skills in Python/Pyspark/SAS. Proven experience with large data sets and related technologies – Hadoop, Hive, Distributed computing systems, Spark optimization. Experience on cloud platforms (preferably Azure) and it's services Azure Data Factory (ADF), ADLS Storage, Azure DevOps. Hands-on experience on Databricks, Delta Lake, Workflows. Should have knowledge of DevOps process and tools like Docker, CI/CD, Kubernetes, Terraform, Octopus. Hands-on experience with SQL and data modeling to support the organization's data storage and analysis needs. Experience on any BI tool like Power BI (Good to have). Cloud migration experience (Good to have) Cloud and Data Engineering certification (Good to have) Working in an Agile environment 4-7 years of relevant work experience needed. Experience with stakeholder management will be an added advantage. What We Are Looking For Education: Bachelor's degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or similar discipline. Master's degree or PhD preferred. Knowledge, Skills And Abilities Fluency in English Analytical Skills Accuracy & Attention to Detail Numerical Skills Planning & Organizing Skills Presentation Skills Data Modeling and Database Design ETL (Extract, Transform, Load) Skills Programming Skills FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity/affirmative action employer and we are committed to a diverse, equitable, and inclusive workforce in which we enforce fair treatment, and provide growth opportunities for everyone. All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy (including childbirth or a related medical condition), physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances. Our Company FedEx is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 World’s Most Admired Companies by "Fortune" magazine. Every day FedEx delivers for its customers with transportation and business solutions, serving more than 220 countries and territories around the globe. We can serve this global network due to our outstanding team of FedEx team members, who are tasked with making every FedEx experience outstanding. Our Philosophy The People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx decision, policy, or activity. FedEx takes care of our people; they, in turn, deliver the impeccable service demanded by our customers, who reward us with the profitability necessary to secure our future. The essential element in making the People-Service-Profit philosophy such a positive force for the company is where we close the circle, and return these profits back into the business, and invest back in our people. Our success in the industry is attributed to our people. Through our P-S-P philosophy, we have a work environment that encourages team members to be innovative in delivering the highest possible quality of service to our customers. We care for their well-being, and value their contributions to the company. Our Culture Our culture is important for many reasons, and we intentionally bring it to life through our behaviors, actions, and activities in every part of the world. The FedEx culture and values have been a cornerstone of our success and growth since we began in the early 1970’s. While other companies can copy our systems, infrastructure, and processes, our culture makes us unique and is often a differentiating factor as we compete and grow in today’s global marketplace.

Responsible for developing, optimize, and maintaining business intelligence and data warehouse systems, ensuring secure, efficient data storage and retrieval, enabling self-service data exploration, and supporting stakeholders with insightful reporting and analysis. Grade - T5 Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date Accountabilities What your main responsibilities are: Data Pipeline - Develop and maintain scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity Data Integration - Connect offline and online data to continuously improve overall understanding of customer behavior and journeys for personalization. Data pre-processing including collecting, parsing, managing, analyzing and visualizing large sets of data Data Quality Management - Cleanse the data and improve data quality and readiness for analysis. Drive standards, define and implement/improve data governance strategies and enforce best practices to scale data analysis across platforms Data Transformation - Processes data by cleansing data and transforming them to proper storage structure for the purpose of querying and analysis using ETL and ELT process Data Enablement - Ensure data is accessible and useable to wider enterprise to enable a deeper and more timely understanding of operation. Qualifications & Specifications Masters /Bachelor’s degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Strong programming skills in Python/Pyspark/SAS. Proven experience with large data sets and related technologies – Hadoop, Hive, Distributed computing systems, Spark optimization. Experience on cloud platforms (preferably Azure) and it's services Azure Data Factory (ADF), ADLS Storage, Azure DevOps. Hands-on experience on Databricks, Delta Lake, Workflows. Should have knowledge of DevOps process and tools like Docker, CI/CD, Kubernetes, Terraform, Octopus. Hands-on experience with SQL and data modeling to support the organization's data storage and analysis needs. Experience on any BI tool like Power BI (Good to have). Cloud migration experience (Good to have) Cloud and Data Engineering certification (Good to have) Working in an Agile environment 4-7 years of relevant work experience needed. Experience with stakeholder management will be an added advantage. What We Are Looking For Education: Bachelor's degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or similar discipline. Master's degree or PhD preferred. Knowledge, Skills And Abilities Fluency in English Analytical Skills Accuracy & Attention to Detail Numerical Skills Planning & Organizing Skills Presentation Skills Data Modeling and Database Design ETL (Extract, Transform, Load) Skills Programming Skills FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity/affirmative action employer and we are committed to a diverse, equitable, and inclusive workforce in which we enforce fair treatment, and provide growth opportunities for everyone. All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy (including childbirth or a related medical condition), physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances. Our Company FedEx is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 World’s Most Admired Companies by "Fortune" magazine. Every day FedEx delivers for its customers with transportation and business solutions, serving more than 220 countries and territories around the globe. We can serve this global network due to our outstanding team of FedEx team members, who are tasked with making every FedEx experience outstanding. Our Philosophy The People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx decision, policy, or activity. FedEx takes care of our people; they, in turn, deliver the impeccable service demanded by our customers, who reward us with the profitability necessary to secure our future. The essential element in making the People-Service-Profit philosophy such a positive force for the company is where we close the circle, and return these profits back into the business, and invest back in our people. Our success in the industry is attributed to our people. Through our P-S-P philosophy, we have a work environment that encourages team members to be innovative in delivering the highest possible quality of service to our customers. We care for their well-being, and value their contributions to the company. Our Culture Our culture is important for many reasons, and we intentionally bring it to life through our behaviors, actions, and activities in every part of the world. The FedEx culture and values have been a cornerstone of our success and growth since we began in the early 1970’s. While other companies can copy our systems, infrastructure, and processes, our culture makes us unique and is often a differentiating factor as we compete and grow in today’s global marketplace.

Lucidworks is leading digital transformation for some of the world's biggest retailers, financial services firms, manufacturers, and B2B commerce organizations. We believe that the core to a great digital experience starts with search and browse. Our Deep Learning technology captures user behavior and utilizes machine learning to connect people with the products, content, and information they need. Brands including American Airlines, Lenovo, Red Hat, and Cisco Systems rely on Lucidworks' suite of products to power commerce, customer service, and workplace applications that delight customers and empower employees. Lucidworks believes in the power of diversity and inclusion to help us do our best work. We are an Equal Opportunity employer and welcome talent across a full range of backgrounds, orientation, origin, and identity in an inclusive and non-discriminatory way. About the Team The technical support team leverages their extensive experience supporting large-scale Solr clusters and the Lucene/Solr ecosystem. Their day might include troubleshooting errors and attempting to fix or develop workarounds, diagnosing network and environmental issues, learning your customer's infrastructure and technologies, as well as reproducing bugs and opening Jira tickets for the engineering team. Their primary tasks are break/fix scenarios where the diagnostics quickly bring network assets back online and prevent future problems--which has a huge impact on our customers’ business. About the Role As a Search Engineer in Technical Support, you will play a critical role in helping our clients achieve success with our products. You will be responsible for assisting clients directly in resolving any technical issues they encounter, as well as answering questions about the product and feature functionality. You will work closely with internal teams such as Engineering and Customer Success to resolve a variety of issues, including product defects, performance issues, and feature requests. This role requires excellent problem-solving skills and attention to detail, strong communication abilities, and a deep understanding of search technology. Additionally, this role requires the ability to work independently and as part of a team, and being comfortable working with both technical and non-technical stakeholders. The successful candidate will demonstrate a passion for delivering an outstanding customer experience, balancing technical expertise with empathy for the customer’s needs. This role is open to candidates in India. The role expected to participate in weekend on-call rotations. Responsibilities Field incoming questions, help users configure Lucidworks Fusion and its components, and help them to understand how to use the features of the product Troubleshoot complex search issues in and around Lucene/Solr Document solutions into knowledge base articles for use by our customer base in our knowledge center Identify opportunities to provide customers with additional value through follow-on products and/or services Communicate high-value use cases and customer feedback to our Product Development and Engineering teams Collaborate across teams internally to diagnose and resolve critical issues Participating in a 24/7/365 on-call rotation, which includes weekends and holidays shifts Skills & Qualifications 3+ years of hands-on experience with Lucene/Solr or other search technologies is required BS or higher in Engineering or Computer Science is preferred 3+ years professional experience in a customer facing level 2-3 tech support role Experience with technical support CRM systems (Salesforce, Zendesk etc.) Ability to clearly communicate with customers by email and phone Proficiency with Java and one or more common scripting languages (Python, Perl, Ruby, etc.) Proficiency with Unix/Linux systems (command line navigation, file system permissions, system logs and administration, scripting, networking, etc.) Exposure to other related open source projects (Mahout, Hadoop, Tika, etc.) and commercial search technologies Enterprise Search, eCommerce, and/or Business Intelligence experience Knowledge of data science and machine learning concepts Experience with cloud computing platforms (GCP, Azure, AWS, etc.) and Kubernetes Startup experience is preferred Our Stack Apache Lucene/Solr, ZooKeeper, Spark, Pulsar, Kafka, Grafana Java, Python, Linux, Kubernetes Zendesk, Jira

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Title-Data Engineering Lead Overall Years Of Experience-8 To 10 Years Relevant Years of Experience-4+ Data Engineering Lead Data Engineering Lead is responsible for collaborating with the Data Architect to design and implement scalable data lake architecture and data pipelines Position Summary Design and implement scalable data lake architectures using Azure Data Lake services. Develop and maintain data pipelines to ingest data from various sources. Optimize data storage and retrieval processes for efficiency and performance. Ensure data security and compliance with industry standards. Collaborate with data scientists and analysts to facilitate data accessibility. Monitor and troubleshoot data pipeline issues to ensure reliability. Document data lake designs, processes, and best practices. Experience with SQL and NoSQL databases, as well as familiarity with big data file formats like Parquet and Avro. Essential Roles and Responsibilities Must Have Skills Azure Data Lake Azure Synapse Analytics Azure Data Factory Azure DataBricks Python (PySpark, Numpy etc) SQL ETL Data warehousing Azure Devops Experience in developing streaming pipeline using Azure Event Hub, Azure Stream analytics, Spark streaming Experience in integration with business intelligence tools such as Power BI Good To Have Skills Big Data technologies (e.g., Hadoop, Spark) Data security General Skills Experience with Agile and DevOps methodologies and the software development lifecycle. Proactive and responsible for deliverables Escalates dependencies and risks Works with most DevOps tools, with limited supervision Completion of assigned tasks on time and regular status reporting Should be able to train new team members Desired to have knowledge on any of the cloud solutions such as Azure or AWS with DevOps/Cloud certifications. Should be able to work with a multi culture global teams and team virtually Should be able to build strong relationship with project stakeholders EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Hadoop Admin Location - Bangalore ( 1st priority) / Pune / Chennai Interview Mode - Level 1 or 2 will be F2F discussion Experience - 7+ Yrs Regular Shift - 9 AM to 6 PM JOB SUMMARY: 1) Strong expertise in Install, configure, and maintain Hadoop ecosystem components (HDFS, YARN, Hive, HBase, Spark, Oozie, Zookeeper, etc.). 2) Monitor cluster performance and capacity; troubleshoot and resolve issues proactively. 3) Manage cluster upgrades, patching, and security updates with minimal downtime. 5) Implement and maintain data security, authorization, and authentication (Kerberos, Ranger, or Sentry). 6) Configure and manage Hadoop high availability, disaster recovery, and backup strategies. 7) Automate cluster monitoring, alerting, and performance tuning. 8) Work closely with data engineering teams to ensure smooth data pipeline operations. 9) Perform root cause analysis for recurring system issues and implement permanent fixes. 10) Develop and maintain system documentation, including runbooks and SOPs. 11) Support integration with third-party tools (Sqoop, Flume, Kafka, Airflow, etc.). 12) Participate in on-call rotation and incident management for production support.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Title-Data Engineering Lead Overall Years Of Experience-8 To 10 Years Relevant Years of Experience-4+ Data Engineering Lead Data Engineering Lead is responsible for collaborating with the Data Architect to design and implement scalable data lake architecture and data pipelines Position Summary Design and implement scalable data lake architectures using Azure Data Lake services. Develop and maintain data pipelines to ingest data from various sources. Optimize data storage and retrieval processes for efficiency and performance. Ensure data security and compliance with industry standards. Collaborate with data scientists and analysts to facilitate data accessibility. Monitor and troubleshoot data pipeline issues to ensure reliability. Document data lake designs, processes, and best practices. Experience with SQL and NoSQL databases, as well as familiarity with big data file formats like Parquet and Avro. Essential Roles and Responsibilities Must Have Skills Azure Data Lake Azure Synapse Analytics Azure Data Factory Azure DataBricks Python (PySpark, Numpy etc) SQL ETL Data warehousing Azure Devops Experience in developing streaming pipeline using Azure Event Hub, Azure Stream analytics, Spark streaming Experience in integration with business intelligence tools such as Power BI Good To Have Skills Big Data technologies (e.g., Hadoop, Spark) Data security General Skills Experience with Agile and DevOps methodologies and the software development lifecycle. Proactive and responsible for deliverables Escalates dependencies and risks Works with most DevOps tools, with limited supervision Completion of assigned tasks on time and regular status reporting Should be able to train new team members Desired to have knowledge on any of the cloud solutions such as Azure or AWS with DevOps/Cloud certifications. Should be able to work with a multi culture global teams and team virtually Should be able to build strong relationship with project stakeholders EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Title-Data Engineering Lead Overall Years Of Experience-8 To 10 Years Relevant Years of Experience-4+ Data Engineering Lead Data Engineering Lead is responsible for collaborating with the Data Architect to design and implement scalable data lake architecture and data pipelines Position Summary Design and implement scalable data lake architectures using Azure Data Lake services. Develop and maintain data pipelines to ingest data from various sources. Optimize data storage and retrieval processes for efficiency and performance. Ensure data security and compliance with industry standards. Collaborate with data scientists and analysts to facilitate data accessibility. Monitor and troubleshoot data pipeline issues to ensure reliability. Document data lake designs, processes, and best practices. Experience with SQL and NoSQL databases, as well as familiarity with big data file formats like Parquet and Avro. Essential Roles and Responsibilities Must Have Skills Azure Data Lake Azure Synapse Analytics Azure Data Factory Azure DataBricks Python (PySpark, Numpy etc) SQL ETL Data warehousing Azure Devops Experience in developing streaming pipeline using Azure Event Hub, Azure Stream analytics, Spark streaming Experience in integration with business intelligence tools such as Power BI Good To Have Skills Big Data technologies (e.g., Hadoop, Spark) Data security General Skills Experience with Agile and DevOps methodologies and the software development lifecycle. Proactive and responsible for deliverables Escalates dependencies and risks Works with most DevOps tools, with limited supervision Completion of assigned tasks on time and regular status reporting Should be able to train new team members Desired to have knowledge on any of the cloud solutions such as Azure or AWS with DevOps/Cloud certifications. Should be able to work with a multi culture global teams and team virtually Should be able to build strong relationship with project stakeholders EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Data Software Engineer Location:Chennai and Coimbatore Mode:Hybrid Interview:Walkin 5-12 Years of in Big Data & Data related technology experience  Expert level understanding of distributed computing principles  Expert level knowledge and experience in Apache Spark  Hands on programming with Python  Proficiency with Hadoop v2, Map Reduce, HDFS, Sqoop  Experience with building stream-processing systems, using technologies such as Apache Storm or Spark-Streaming  Good understanding of Big Data querying tools, such as Hive, and Impala  Experience with integration of data from multiple data sources such as RDBMS (SQL Server, Oracle), ERP, Files  Good understanding of SQL queries, joins, stored procedures, relational schemas  Experience with NoSQL databases, such as HBase, Cassandra, MongoDB  Knowledge of ETL techniques and frameworks  Performance tuning of Spark Jobs  Experience with AZURE Databricks  Ability to lead a team efficiently  Experience with designing and implementing Big data solutions  Practitioner of AGILE methodology

About Marriott: Marriott Tech Accelerator is part of Marriott International, a global leader in hospitality. Marriott International, Inc. is a leading American multinational company that operates a vast array of lodging brands, including hotels and residential properties. It consists of over 30 well-known brands and nearly 8,900 properties situated in 141 countries and territories. Role Title: Security Data Engineer Position Summary: Marriott International’s Global Information Security is seeking a Data Engineer who can build and maintain the infrastructure and systems that collect, process, and store large amounts of security data for Marriott to use for security related analysis and decision-making. Job Responsibilities: Implement and maintain scalable data pipelines using tools such as Cribl Stream and Splunk Develop and maintain ETL (Extract, Transform, Load) processes Ensure data quality and implement validation checks Automate data workflows and processes Work with distributed computing frameworks (e.g., Hadoop, Spark) Implement solutions for processing large-scale datasets Utilize cloud platforms (AWS, Azure) for data management Optimize data retrieval and query performance Build integrations with various data sources Ensure compatibility between different systems and platforms Implement data security controls and access management Maintain data integrity and reliability Work closely with security data scientists, analysts, and business stakeholders Translate business requirements into technical specifications Monitor and troubleshoot data system performance Implement optimizations for efficiency and scalability Ensure high availability of data resources Skill and Experience: 2-4 years of data engineering, data analytics, data management, and/or information security experience that includes: 2+ years of experience in data engineering and/or data analytics in an enterprise environment 1+ years of experience in information protection / information security. Strong background in statistics, mathematics, and software engineering. Proficiency in Python, R, Java, or Scala Strong knowledge of SQL Expertise in relational databases (e.g., MySQL, PostgreSQL) Experience with NoSQL databases (e.g., MongoDB, Cassandra) Familiarity with cloud platforms (AWS, Azure, GCP) and big data frameworks such as Hadoop, Spark, and Kafka Experience with ETL (Extract, Transform, Load) processes Proficiency in data pipeline development and optimization Knowledge of cybersecurity principles, tools, and best practices Preferred: Programming languages: Python, R, SQL Big data technologies: Hadoop, Spark, and Kafka Cloud platforms: AWS, Azure, GCP Relevant certifications such as AWS Certified Data Analytics – Specialty, Google Cloud Professional Data Engineer, or IBM Certified Data Engineer Experience with Security information and event management (SIEM) systems such as Splunk Experience with data pipeline management and data transformation tools such as Cribl Familiarity with MLOps practice Understanding of machine learning algorithms and AI applications in data engineering Verbal and written communication skills to articulate complex technical concepts to both technical and non-technical stakeholders Experience working in Agile and Scrum methodologies Education and Certifications: Bachelor’s degree in computer / data science, information management, Cybersecurity or related field or equivalent experience / certification Work location: Hyderabad, India. Work mode: Hybrid

About Marriott: Marriott Tech Accelerator is part of Marriott International, a global leader in hospitality. Marriott International, Inc. is a leading American multinational company that operates a vast array of lodging brands, including hotels and residential properties. It consists of over 30 well-known brands and nearly 8,900 properties situated in 141 countries and territories. Role Title: Security Data Scientist Position Summary: Marriott International’s Global Information Security is seeking an experienced Security Data Scientist who can combine expertise in cybersecurity with data science skills to analyze and protect Marriott’s digital assets. Job Responsibilities: Perform data cleaning, analysis, and modeling tasks Work under guidance of senior team members to: Analyze large datasets related to cybersecurity threats and incidents implement existing machine learning models and algorithms to detect anomalies and potential security breaches Support SDL tools (e.g., big data, ML/AI technologies) Create data visualizations and reports to communicate insights to stakeholders Collaborate with cybersecurity teams to implement data-driven security solutions Stay up to date with the latest cyber threats and data science techniques Help to maintain and document SDL MLOps processes and procedures. Skill and Experience: 2-4 years of data science, data analytics, data management, and/or information security experience that includes: 2+ years of experience in data science/data analytics in an enterprise environment 1+ years of experience in information protection / information security. Strong background in statistics, mathematics, and software engineering (e.g., Proficiency in Python, R) Experience with machine learning algorithms and frameworks as well as AI techniques Knowledge of cybersecurity principles, tools, and best practices Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies Understanding of data visualization tools like Power BI Preferred: Programming languages: Python, R, SQL Machine learning frameworks: TensorFlow, PyTorch, scikit-learn Big data technologies: Hadoop, Spark, and Kafka Cloud platforms: AWS, Azure, GCP Data visualization tools: Tableau, Power BI Relevant certifications such as data science certifications, CISSP, CEH. Verbal and written communication skills Education and Certifications: Bachelor’s degree in computer / data science, information management, Cybersecurity or related field or equivalent experience / certification Work location: Hyderabad, India. Work mode: Hybrid

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Your New Role : As the Staff, Solutions Architect (AI/ML) , you will play a pivotal role in driving the adoption of AI and Machine Learning solutions within one of the world’s largest Media & Entertainment companies. Based in India, you will lead the design and implementation of innovative AI/ML architectures that transform how we create, distribute, and monetize content across global markets. Your expertise will help bridge the gap between complex business challenges and advanced technical solutions, ensuring AI initiatives deliver real business value. This is a unique opportunity to work at the intersection of creativity and technology, where you’ll lead the development of intelligent solutions for personalized viewer experiences, optimized content workflows, and data-driven decision-making. If you’re passionate about leveraging AI/ML to revolutionize the Media & Entertainment industry and thrive in a dynamic, collaborative environment, this role is for you. 1. AI/ML Solution Design and Development Design and develop scalable AI/ML solutions tailored to address business challenges such as audience analytics, content personalization, and ad optimization. Lead the end-to-end architecture of AI/ML platforms, ensuring seamless integration with existing systems and data pipelines. Collaborate with data scientists, engineers, and business stakeholders to convert models into production-ready solutions. Evaluate and select appropriate AI/ML frameworks, technologies, and tools to meet project requirements. Ensure AI solutions are optimized for performance, scalability, and reliability across diverse use cases. 2. Technical Leadership and Innovation Provide technical leadership for AI/ML projects, guiding teams through solution architecture, development, and deployment. Stay abreast of emerging AI/ML trends and technologies to introduce innovative solutions and best practices. Lead proof-of-concept (POC) initiatives to validate new AI capabilities and demonstrate their potential impact. Promote a culture of innovation within the team, encouraging experimentation with cutting-edge AI/ML techniques. Mentor junior architects and engineers to build a strong pipeline of AI/ML talent. 3. Collaboration and Stakeholder Engagement Act as a key interface between business units, technical teams, and senior leadership to align AI/ML solutions with organizational goals. Translate business requirements into technical specifications, ensuring clarity and feasibility. Collaborate with cross-functional teams to prioritize and execute AI/ML projects that deliver the highest business impact. Communicate the value and progress of AI/ML initiatives to non-technical stakeholders through clear, compelling narratives. Foster strong relationships with external partners, including technology vendors and academic institutions, to drive innovation. 4. AI Governance and Risk Management Implement best practices for AI/ML governance, including model explainability, accountability, and ethical use. Ensure AI solutions comply with data privacy regulations and internal security protocols. Proactively identify and mitigate risks associated with AI/ML implementations, such as bias, overfitting, or data quality issues. Develop monitoring frameworks to track model performance and retrain models as necessary to maintain effectiveness. Establish guidelines and documentation for AI/ML processes, ensuring consistency and transparency. 5. Scalability and Continuous Improvement Architect solutions that are modular and scalable, capable of supporting future business growth and technological evolution. Regularly review and optimize existing AI/ML systems for improved performance and cost-efficiency. Establish feedback loops to capture learnings from deployed solutions and inform future enhancements. Identify opportunities for automation and operational efficiency using AI/ML. Lead initiatives to streamline workflows and reduce time-to-market for AI/ML projects. Qualifications & Experiences: Academic Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related technical discipline. Specialized certifications in AI/ML (e.g., Google Cloud AI Engineer, AWS Machine Learning Specialty) are a plus. Professional Experience: 8 + years of experience in AI/ML solution architecture, with at least 3+ years in a leadership role. Proven track record of designing and deploying AI/ML solutions in enterprise-scale environments, preferably within Media & Entertainment or a similar industry. Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and cloud platforms (AWS, Azure, GCP). Strong expertise in building and optimizing data pipelines, model deployment workflows, and MLOps practices. Experience in implementing AI use cases like recommendation systems, natural language processing (NLP), and computer vision. Technical Skills: Proficiency in programming languages like Python, Java, or R. Expertise in big data technologies (e.g., Spark, Hadoop) and database systems (SQL, NoSQL). Solid understanding of microservices architecture and APIs for AI model integration. Advanced knowledge of AI model lifecycle management, from training to deployment and monitoring. Familiarity with visualization tools (e.g., Tableau, Power BI) to present AI-driven insights. Soft Skills: Exceptional problem-solving and critical-thinking abilities. Strong communication skills with the ability to articulate technical concepts to non-technical audiences. Collaborative mindset with the ability to work effectively in cross-functional teams. Leadership qualities, including mentoring and team development. High adaptability to a fast-paced and dynamic work environment. How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

Summary As a Data Analyst, you will be responsible for Design, develop, and maintain efficient and scalable data pipelines for data ingestion, transformation, and storage. About the Role Location – Hyderabad #LI Hybrid About the Role: As a Data Analyst, you will be responsible for Design, develop, and maintain efficient and scalable data pipelines for data ingestion, transformation, and storage. Key Responsibilities: Design, develop, and maintain efficient and scalable data pipelines for data ingestion, transformation, and storage. Collaborate with cross-functional teams, including data analysts, business analyst and BI, to understand data requirements and design appropriate solutions. Build and maintain data infrastructure in the cloud, ensuring high availability, scalability, and security. Write clean, efficient, and reusable code in scripting languages, such as Python or Scala, to automate data workflows and ETL processes. Implement real-time and batch data processing solutions using streaming technologies like Apache Kafka, Apache Flink, or Apache Spark. Perform data quality checks and ensure data integrity across different data sources and systems. Optimize data pipelines for performance and efficiency, identifying and resolving bottlenecks and performance issues. Collaborate with DevOps teams to deploy, automate, and maintain data platforms and tools. Stay up to date with industry trends, best practices, and emerging technologies in data engineering, scripting, streaming data, and cloud technologies Essential Requirements: Bachelor's or Master's degree in Computer Science, Information Systems, or a related field with an overall experience of 2-4 Years. Proven experience as a Data Engineer or similar role, with a focus on scripting, streaming data pipelines, and cloud technologies like AWS, GCP or Azure. Strong programming and scripting skills in languages like Python, Scala, or SQL. Experience with cloud-based data technologies, such as AWS, Azure, or Google Cloud Platform. Hands-on experience with streaming technologies, such as AWS Streamsets, Apache Kafka, Apache Flink, or Apache Spark Streaming. Strong experience with Snowflake (Required) Proficiency in working with big data frameworks and tools, such as Hadoop, Hive, or HBase. Knowledge of SQL and experience with relational and NoSQL databases. Familiarity with data modelling and schema design principles. Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment. Excellent communication and teamwork skills. Commitment to Diversity and Inclusion: Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve. Accessibility and accommodation: Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to diversityandincl.india@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Division US Business Unit Universal Hierarchy Node Location India Site Hyderabad (Office) Company / Legal Entity IN10 (FCRS = IN010) Novartis Healthcare Private Limited Functional Area Marketing Job Type Full time Employment Type Regular Shift Work No Accessibility and accommodation Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to [email protected] and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.

Job Title: Data Engineer Total Experience: 3+ Years Location: Hyderabad Job Type: Contract Work Mode: On-site Notice Period: Immediate to 15 Days Work Timings: Monday to Friday, 10 am to 7 pm (IST) Interview Process Level 1: HR Screening (Personality Assessment) Level 2: Technical Round Level 3: Final Round (Note: The interview levels may vary) Company Overview Compileinfy Technology Solutions Pvt. Ltd. is a fast-growing IT services and consulting company delivering tailored digital solutions across industries. At Compileinfy, we promote a culture of ownership, critical thinking, and technological excellence. Job Summary We are seeking a highly motivated Data Engineer to join our expanding Data & AI team. This role offers the opportunity to design and develop robust, scalable data pipelines and infrastructure, ensuring the delivery of high-quality, timely, and accessible data throughout the organization. As a Data Engineer, you will collaborate across teams to build and optimize data solutions that support analytics, reporting, and business operations. The ideal candidate combines deep technical expertise, strong communication, and a drive for continuous improvement. Who You Are: Experienced in designing and building data pipelines for ingestion, transformation, and loading (ETL/ELT) of data from diverse sources to data warehouses or lakes. Proficient in SQL and at least one programming language, such as Python, Java, or Scala. Skilled at working with both relational databases (e.g., PostgreSQL, MySQL) and big data platforms (e.g., Hadoop, Spark, Hive, EMR). Competent in cloud environments (AWS, GCP, Azure), data lake, and data warehouse solutions. Comfortable optimizing and managing the quality, reliability, and timeliness of data flows. Ability to translate business requirements into technical specifications and collaborate effectively with stakeholders, including data scientists, analysts, and engineers. Detail-oriented, with strong documentation skills and a commitment to data governance, security, and compliance. Proactive, agile, and adaptable to a fast-paced environment with evolving business needs. What You Will Do: Design, build, and manage scalable ETL/ELT pipelines to ingest, transform, and deliver data efficiently from diverse sources to centralized repositories such as lakes or warehouses. Implement validation, monitoring, and cleansing procedures to ensure data consistency, integrity, and adherence to organizational standards. Develop and maintain efficient database architectures, optimize data storage, and streamline data integration flows for business intelligence and analytics. Work closely with data scientists, analysts, and business users to gather requirements and deliver tailored data solutions supporting business objectives. Document data models, dictionaries, pipeline architectures, and data flows to ensure transparency and knowledge sharing. Implement and enforce data security and privacy measures, ensuring compliance with regulatory requirements and best practices. Monitor, troubleshoot, and resolve issues in data pipelines and infrastructure to maintain high availability and performance. Preferred Qualifications: Bachelor’s or higher degree in Computer Science, Information Technology, Engineering, or a related field. 3-4years of experience in data engineering, ETL development, or related areas. Strong SQL and data modeling expertise with hands-on experience in data warehousing or business intelligence projects. Familiarity with AWS data integration tools (e.g., Glue, Athena), messaging/streaming platforms (e.g., Kafka, AWS MSK), and big data tools (Spark, Databricks). Proficiency with version control, testing, and deployment tools for maintaining code and ensuring best practices. Experience in managing data security, quality, and operational support in a production environment. What You Deliver Comprehensive data delivery documentation (data dictionary, mapping documents, models). Optimized, reliable data pipelines and infrastructure supporting the organization’s analytics and reporting needs. Operations support and timely resolution of data-related issues aligned with service level agreements. Interdependencies / Internal Engagement Actively engage with cross-functional teams to align on requirements, resolve issues, and drive improvements in data delivery, architecture, and business impact. Become a trusted partner in fostering a data-centric culture and ensuring the long-term scalability and integrity of our data ecosystem Why Join Us? At Compileinfy, we value innovation, collaboration, and professional growth. You'll have the opportunity to work on exciting, high-impact projects and be part of a team that embraces cutting-edge technologies. We provide continuous learning and career advancement opportunities in a dynamic, inclusive environment. Perks and Benefits Competitive salary and benefits package Flexible work environment Opportunities for professional development and training A supportive and collaborative team culture Application Process Submit your resume with the subject line: “Data Engineer Application – [Your Name]” to recruitmentdesk@compileinfy.com Job Types: Full-time, Contractual / Temporary Contract length: 12 months Pay: ₹600,000.00 - ₹700,000.00 per year Benefits: Health insurance Provident Fund Work Location: In person

Job description Some careers have more impact than others. If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. HSBC is one of the largest banking and financial services organizations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of DECISION SCIENCE JUNIOR ANALYST Principal responsibilities To support the Business by providing vital input for strategic planning by the senior management which enables effective decision making along with addressing unforeseen challenges. The team leverages the best of data and analytics capabilities to enable smarter decisions and drive profitable growth. The team supports various domains ranging from Regulatory, Operations, Procurement, Human Resources, and Financial Crime Risk. It provides support to various business groups and the job involves data analysis, model and strategy development & implementation, Business Intelligence, reporting and data management The team addresses range of business problems which cover areas of business growth, improving customer experience, limiting risk exposure, capital quantification, enhancing internal business processes etc. Proactively identify key emerging compliance risks across all RC categories and interface appropriately with other RC teams and senior management. To provide greater understanding of the potential impact and associated consequences / failings of significant new or emerging risks. & provide innovative and effective solutions based on SME knowledge that assists the Business / Function. Proposing, managing and tracking the resolution of subsequent risk management actions. Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities. Against this period of considerable regulatory change and development, and as regulators develop their own understanding of compliance risk management, the role holder must maintain a strong knowledge and understanding of regulatory development and the evolution of the compliance risk framework, risk appetite and risk assessment methodology. Deliver repeatable and scalable analytics through the semi-automation of L1 Financial Crime Risk and Regulatory Compliance Risk Assurance controls testing. Here, Compliance Assurance will develop and run analytics on data sets which will contain personal information such as customer and employee data. Requirements Bachelor’s degree from reputed university in statistics, economics or any other quantitative fields. Fresher with educational background relevant in Data Science or certified in Data science courses 1-4 years of Experience in the field of Automation & Analytics Worked on Proof of Concept or Case study solving complex business problems using data Strong analytical skills with business analysis experience or equivalent. Basic knowledge and understanding of financial-services/ banking-operations is a good to have. Delivery focused, demonstrating an ability to work under pressure and within tight deadlines Basic knowledge of working in Python and other Data Science Tools & in visualization tools such as QlikSense/Other visualization tools. Experience in SQL/ETL tools is an added advantage. Understanding of big data tools: Teradata, Hadoop, etc & adopting cloud technologies like GCP/AWS/Azure is good to have Experience in data science and other machine learning algorithms (For e.g.- Regression, Classification) is an added advantage Basic knowledge in Data Engineering skills – Building data pipelines using modern tools / libraries (Spark or similar). You’ll achieve more at HSBC HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.” Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. ***Issued By HSBC Electronic Data Processing (India) Private LTD***

*Job Summary:* We are seeking a passionate and knowledgeable *Data Science Trainer* to join our team. The ideal candidate will have strong expertise in Python, data science concepts, and modern technologies including AI, ML, NLP, and big data. This role requires delivering high-quality training, conducting workshops and bootcamps, and staying updated with the industry trends --- ### * Key Responsibilities :* * Deliver engaging and practical training sessions on: * Python programming and frameworks like Django and Flask * REST APIs and web integration * SQL and database handling * Data Science fundamentals, Machine Learning & Deep Learning * Natural Language Processing (NLP) and Artificial Intelligence (AI) * Retrieval-Augmented Generation (RAG) and other advanced AI methods * Design course materials, assignments, and real-world projects. * Conduct interactive workshops, webinars, and student bootcamps. * Mentor and guide students on capstone projects and portfolio development. * Evaluate student performance and provide constructive feedback. * Collaborate with the curriculum team to update training content based on industry trends. * Use Git and GitHub to manage and demonstrate version control workflows. * Be open and flexible to learn and integrate new tools and technologies as required. --- ### *Required Skills and Qualifications:* * Proficiency in *Python*, including Django/Flask frameworks. * Hands-on experience with *RESTful APIs* and *SQL*. * Solid understanding of *Big Data* concepts and tools (e.g., Hadoop, Spark is a plus). * In-depth knowledge of *Machine Learning, **Deep Learning, and **NLP* techniques. * Familiarity with *Artificial Intelligence* systems and RAG pipelines. * Comfortable using *version control tools* like Git and platforms like GitHub. * Experience conducting *workshops, **seminars, or **student training programs*. * Excellent communication and presentation skills. * Strong problem-solving skills and a proactive learning mindset. --- ### *Preferred Qualifications:* * Bachelor's or Master’s degree in Computer Science, Data Science, or related field. * Prior teaching, training, or mentorship experience is highly desirable. * Certifications in data science, AI/ML, or related domains are a plus. 1. Training Delivery Deliver classroom and/or live online sessions on data science topics such as: Python for Data Science Data Wrangling with Pandas & NumPy Exploratory Data Analysis & Data Visualization Statistics & Probability Machine Learning Algorithms Supervised and Unsupervised Learning Model Evaluation Techniques Introduction to Deep Learning (optional) Teach tools and platforms like Jupyter Notebook , Google Colab , Scikit-learn , Matplotlib , Seaborn , Tableau/Power BI , etc. 2. Curriculum Development Develop and update training materials, coding exercises, project briefs, and assessments based on current industry standards. Design real-world projects and case studies that enable students to apply their knowledge practically. 3. Student Engagement & Mentorship Provide individual and group mentorship on projects and concept understanding. Conduct regular doubt-clearing sessions and performance reviews. Guide students in building portfolios and preparing for technical interviews. 4. Assessment & Progress Tracking Evaluate student assignments, capstone projects, and provide actionable feedback. Track attendance, participation, and progress reports. Share student performance data with academic coordinators or institute leadership. 5. Continuous Improvement & Collaboration Stay current with advancements in data science, AI/ML, and edtech delivery practices. Collaborate with other trainers, content developers, and placement coordinators. Participate in internal training sessions, hackathons, and academic planning meetings. Job Type: Full-time Pay: ₹25,000.00 - ₹35,000.00 per month Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us. As an Infrastructure Engineer, you will be responsible for the technical design, planning, implementation, and optimization of performance tuning and recovery procedures for critical enterprise systems and applications. You will serve as the technical authority in system administration for complex SaaS, local, and cloud-based environments. Your role is critical in ensuring the high availability, reliability, and scalability of our infrastructure components. You will also be involved in designing philosophies, tools, and processes to enable the rapid delivery of evolving products. In this role you will : Design, configure, and document cloud-based infrastructures using AWS Virtual Private Cloud (VPC) and EC2 instances in AWS. Secure and monitor hosted production SaaS environments provided by third-party partners. Define, document, and manage network configurations within AWS VPCs and between VPCs and data center networks, including firewall, DNS, and ACL configurations. Lead the design and review of developer work on DevOps tools and practices. Ensure high availability and reliability of infrastructure components through monitoring and performance tuning. Implement and maintain security measures to protect infrastructure from threats. Collaborate with cross-functional teams to design and deploy scalable solutions. Automate repetitive tasks and improve processes using scripting languages such as Python, PowerShell, or BASH. Support Airflow DAGs in the Data Lake, utilizing the Spark framework and Big Data technologies. Provide support for infrastructure-related issues and conduct root cause analysis. Develop and maintain documentation for infrastructure configurations and procedures. Administer databases, handle data backups, monitor databases, and manage data rotation. Work with RDBMS and NoSQL systems, leading stateful data migration between different data systems. Experience & Qualifications: Bachelor’s or Master’s degree in Information Science, Computer Science, Business, or equivalent work experience. 3-5 years of experience with Amazon Web Services, particularly VPC, S3, EC2, and EMR. Experience in setting up new VPCs and integrating them with existing networks is highly desirable. Experience in maintaining infrastructure for Data Lake/Big Data systems built on the Spark framework and Hadoop technologies. Experience with Active Directory and LDAP setup, maintenance, and policies. Workday certification is preferred but not required. Exposure to Workday Integrations and Configuration is preferred. Strong knowledge of networking concepts and technologies. Experience with infrastructure automation tools (e.g., Terraform, Ansible, Chef). Familiarity with containerization technologies like Docker and Kubernetes. Excellent problem-solving skills and attention to detail. Strong verbal and written communication skills. Understanding of Agile project methodologies, including Scrum and Kanban, is required. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.