196 Hadoop Administrator Jobs in Karnataka

As a Senior Product Support Engineer - Hadoop SME, your role will involve designing, optimizing, migrating, and scaling Hadoop and Spark-based data processing systems. You will collaborate with customer engineering teams to deliver high-throughput applications and solve complex data challenges. If you are passionate about working in dynamic environments and cutting-edge data solutions, this role is for you. Key Responsibilities: - Design and optimize distributed Hadoop-based applications for low-latency, high-throughput performance. - Provide expert-level support for data or performance issues in Hadoop and Spark jobs and clusters. - Work extensively with large-scale data pipelines using Hadoop and Spark's core components. - Conduct deep-dive performance analysis, debugging, and optimization of Impala and Spark jobs. - Collaborate with DevOps and infrastructure teams to manage Impala and Spark clusters on platforms like Hadoop/YARN, Kubernetes, or cloud platforms. - Provide dedicated support to ensure stability and reliability of the new ODP Hadoop environment during and after migration. - Address evolving technical challenges and optimize system performance after migration to ODP. Qualifications Required: - Hands-on experience with Hadoop and other core data operations. - Ability to work in rotational shifts and support operations in a 24/7 environment. - Flexibility to adjust working hours based on team coverage needs and customer demand. Please note that artificial intelligence (AI) tools may be used to support parts of the hiring process, assisting the recruitment team without replacing human judgment. If you seek more information on how your data is processed, feel free to reach out to us.,

As an Associate Big Data Developer at Hortonworks, you will be a part of the professional services team in APAC. Your main responsibility will be to develop massively scalable solutions using Hadoop, Spark, and other Big Data technologies to solve complex data problems. This client-facing role will require your consulting skills along with deep technical design and development expertise in the Big Data domain. **Responsibilities:** - Work closely with Hortonworks Architects to design and build Big Data solutions on Hadoop - Implement Big Data solutions at scale for customers using the Hortonworks Data Platform and Hortonworks Dataflow - Assist in designing and implementing Hadoop platform architectures and configurations - Collaborate with Hortonworks teams to ensure the success of project consulting engagements - Produce technical documentation and knowledgebase articles - Participate in speaking engagements as required - Stay updated with the latest technologies in the Hadoop Big Data ecosystem - Travel up to 75% **Qualifications:** - Quick learner with aptitude for new skills and technologies - Demonstrable programming experience in any language - Proficiency in Linux / Unix environments - Strong analytical and problem-solving skills - Theoretical knowledge of big data and analytics concepts - Interest in Big Data development, Data Engineering, or Data Science - Excellent communication, consulting, and presentation abilities **Nice to have (but not required):** - Bachelor's degree in Software Engineering / IT / Computer Science or related field - Hands-on experience with Apache technologies like Hadoop, Spark, Hbase, etc. - Familiarity with open-source software and setting up multi-node Hadoop clusters - Strong SQL skills - Development experience in Java, C++, Python, and/or R - Exposure to NoSQL data technology and cloud environments - Understanding of enterprise security solutions and networking concepts - Knowledge of distributed systems, machine learning, and AI algorithms - Familiarity with big data use-cases and standard design patterns in Hadoop-based deployments - Understanding of data management concepts like data warehousing, ETL, and data integration Hortonworks is dedicated to creating, distributing, and supporting enterprise-ready open data platforms and modern data applications. With a focus on innovation in open source communities like Apache Hadoop, NiFi, and Spark, Hortonworks collaborates with over 1,600 partners to provide expertise, training, and services for organizations looking to unlock transformational value across various business lines. For more information about Hortonworks and its products, you can visit their [official website](http://hortonworks.com/about-us/quick-facts/).,

Role Overview: As the SF Data Cloud Architect at Salesforce's Professional Services team, you play a crucial role in pre-sales activities and leading the design and implementation of enterprise-grade Data Management solutions. Your responsibilities include architecting scalable solutions using Data Cloud across enterprise landscapes, ensuring data readiness for enterprise AI, implementing data governance guardrails, and supporting enterprise analytics and automation. This role encompasses the markets of ANZ, ASEAN, and India. Key Responsibilities: - Serve as a Salesforce Data Cloud Trusted Advisor, offering expertise in Data Cloud during pre-sales activities, project delivery, and customer engagements, emphasizing its connection to AI success - Provide guidance on Data and System Architecture to Salesforce Account teams and Customers by reviewing proposed architecture, peer reviewing project effort estimates, scope, and delivery considerations - Lead cross-cloud project delivery, spearhead Data Cloud Design & Delivery, and collaborate with cross-functional teams from Developer to Executive - Design and guide customer's enterprise data architecture aligned with business goals, emphasizing Data Ethics and Privacy to ensure compliance with regulations and best practices in data security and privacy - Lead Data Cloud architecture enablement for key domains and cross-cloud teams, collaborating with analytics and AI teams to ensure data readiness for advanced analytics, reporting, and AI/ML initiatives - Engage stakeholders across multiple Salesforce teams and projects to deliver aligned and trusted data solutions, building strong relationships with internal and external teams, contributing to broader goals and growth - Create and maintain high-quality architecture blueprints, design documents, standards, and technical guidelines Qualification Required: - 15+ years in data architecture or consulting with experience in solution design and project delivery - Deep knowledge in MDM, Data Distribution, and Data Modelling concepts - Expertise in data modelling with a strong understanding of metadata and lineage - Experience in executing data strategies, landscape architecture assessments, and proof-of-concepts - Excellent communication, stakeholder management, and presentation skills - Strong technical writing and documentation ability - Basic understanding of Hadoop spark fundamentals is an advantage - Understanding of Data Platforms such as Snowflake, DataBricks, AWS, GCP, MS Azure - Experience with tools like Salesforce Data Cloud or similar enterprise Data platforms, hands-on deep Data Cloud experience is a strong plus - Working knowledge of enterprise data warehouse, data lake, and data hub concepts - Strong understanding of Salesforce Products and functional domains like Technology, Finance, Telco, Manufacturing, and Retail is a positive Additional Details: Omitting this section as there are no additional details mentioned in the provided job description.,

As a Hadoop professional with 4 to 6 years of relevant experience, you will be responsible for developing data processing solutions using Hadoop components like HDFS, YARN, and Map Reduce. Your expertise in PySpark for distributed data processing, transformation, and analytics in Hadoop environments will be crucial. Additionally, you will utilize Hive for querying, data warehousing, and managing structured data on large-scale datasets. Your role will involve creating and optimizing Hadoop-based applications to ensure performance, scalability, and reliability. Familiarity with ETL processes, data ingestion techniques, and workflows within Hadoop ecosystems will be essential. You will also work with job scheduling and workflow management tools such as Apache Oozie or similar to streamline processes. Troubleshooting Hadoop environment issues and optimizing PySpark jobs for efficient processing will be part of your responsibilities. Strong teamwork, collaboration, and communication skills are required for effective cross-functional team collaboration. **Key Responsibilities:** - Develop data processing solutions using Hadoop components like HDFS, YARN, and Map Reduce - Utilize PySpark for distributed data processing, transformation, and analytics - Utilize Hive for querying, data warehousing, and managing structured data - Create and optimize Hadoop-based applications for performance, scalability, and reliability - Implement ETL processes, data ingestion techniques, and workflows within Hadoop ecosystems - Work with job scheduling and workflow management tools such as Apache Oozie - Troubleshoot Hadoop environment issues and optimize PySpark jobs for efficiency - Collaborate effectively in cross-functional teams **Qualifications Required:** - 4 to 6 years of experience working with Hadoop and big data technologies - Proficiency in PySpark for distributed data processing - Expertise in Hive for querying and data warehousing - Familiarity with job scheduling and workflow management tools - Strong understanding of data partitioning, indexing, and optimization techniques The hiring process for this position includes screening (HR Round), Technical Round 1, Technical Round 2, and Final HR Round. This role is based in Bangalore and Chennai. (Note: The provided job description does not include any additional details about the company.),

As an Associate Product Support Engineer focused on Hadoop distributed systems, your role will involve providing technical support to enterprise clients. You will be responsible for troubleshooting and resolving issues within Hadoop environments to ensure the stability and reliability of customers" infrastructures. Working closely with experienced engineers, you will collaborate with customers to understand their problems and deliver effective solutions with empathy and professionalism. Key Responsibilities: - Address customer issues related to Hadoop clusters and core components such as HDFS, YARN, MapReduce, Hive, etc. - Perform basic administrative tasks including installation, configuration, and upgrades. - Document troubleshooting steps and solutions for knowledge sharing purposes. Qualifications Required: - Minimum of 3 years of hands-on experience as a Hadoop Administrator or in a similar support role. - Strong understanding of Hadoop architecture and core components. - Proven experience in troubleshooting Hadoop-related issues. - Proficiency in Linux operating systems. - Good communication skills and excellent problem-solving abilities. - Experience with components like Spark, NiFi, and HBase will be advantageous. - Exposure to data security and data engineering principles within Hadoop environments is a plus. - Prior experience in a customer-facing technical support role and familiarity with tools like Salesforce & Jira are considered beneficial. - Knowledge of automation and scripting languages like Python and Bash is a plus. This role offers an opportunity for candidates passionate about Hadoop administration and customer support to deepen their expertise in a focused, high-impact environment.,

Role Overview: You will be a Senior Engineer at Impetus Technologies, utilizing your expertise in Java and Big Data technologies to design, develop, and deploy scalable data processing applications. Your responsibilities will include collaborating with cross-functional teams, mentoring junior engineers, and contributing to architectural decisions to enhance system performance and scalability. Key Responsibilities: - Design, develop, and maintain high-performance applications using Java and Big Data technologies. - Implement data ingestion and processing workflows with frameworks like Hadoop and Spark. - Collaborate with the data architecture team to define efficient data models. - Optimize existing applications for performance, scalability, and reliability. - Mentor junior engineers, provide technical leadership, and ensure best practices are followed. - Participate in code reviews, evaluate new tools, and stay current with technology trends in Java and Big Data. Qualifications Required: - Strong proficiency in Java programming with experience in building complex applications. - Hands-on experience with Big Data technologies such as Apache Hadoop, Spark, and Kafka. - Understanding of distributed computing concepts and technologies. - Experience with data processing frameworks like MapReduce and Spark SQL. - Familiarity with database systems including HDFS, NoSQL databases, and SQL databases. - Strong problem-solving skills and troubleshooting abilities. - Knowledge of version control systems like Git and CI/CD pipelines. - Excellent communication and teamwork skills. - Bachelor's or master's degree in Computer Science, Engineering, or related field preferred. (Note: Additional details about the company are not provided in the job description.),

Role Overview: As a Big Data Lead at Persistent, you will be responsible for managing data sets that are too large for traditional database systems to handle. Your primary tasks will involve creating, designing, and implementing data processing jobs to transform data into a more usable format. Additionally, you will play a crucial role in ensuring data security and compliance with industry standards to safeguard the company's information. Key Responsibilities: - Manage customer priorities of projects and requests - Assess customer needs using a structured requirements process to prioritize business needs, advise on options, risks, and costs - Design and implement software products related to Big Data, including data models and visualizations - Participate actively within your teams and deliver solutions within tight deadlines - Proactively suggest new approaches, develop your capabilities, and contribute to the overall team improvement - Demonstrate a certain level of understanding across various technical skills, attitudes, and behaviors - Focus on delivering valuable solutions that drive business value Qualifications Required: - 6 years of experience in designing and developing enterprise application solutions for distributed systems - Understanding of Big Data Hadoop Ecosystem components such as Sqoop, Hive, Pig, and Flume - Additional experience working with Hadoop, HDFS, cluster management, Hive, Pig, MapReduce, HBase, Talend, NoSQL databases, and Apache Spark or other streaming Big Data processing (preferred) - Knowledge of Java or Big Data technologies will be a plus Please note that Persistent Ltd. fosters diversity and inclusion in the workplace, welcoming applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. The company offers a culture focused on talent development, competitive salary and benefits package, opportunity to work with cutting-edge technologies, employee engagement initiatives, annual health check-ups, and comprehensive insurance coverage for self, spouse, children, and parents. Persistent is committed to creating an inclusive environment with hybrid work options, flexible working hours, and accessible facilities for employees with physical disabilities. The company's values-driven and people-centric work environment aims to accelerate growth, impact the world positively, encourage collaborative innovation, and unlock global opportunities for employees to work and learn with the industry's best. Join Persistent to unleash your full potential at persistent.com/careers.,

As an Informatica BDM Developer, you will be responsible for designing, developing, and maintaining ETL/ELT workflows using Informatica BDM for data ingestion, transformation, and loading. You will collaborate with data architects, business analysts, and stakeholders to translate business requirements into technical solutions. Working with Hadoop/HDFS, Hive, Spark, or cloud-based platforms (AWS, Azure, GCP) to process and manage large datasets is also an essential part of your role. Additionally, you will implement data quality checks, validations, and create detailed documentation for all data flows. Your support in deployment activities and troubleshooting assistance in development, testing, and production environments will be crucial. Key Responsibilities: - Design, develop, and maintain ETL/ELT workflows using Informatica BDM for data ingestion, transformation, and loading. - Integrate data from various structured and unstructured sources into enterprise data lakes or data warehouses. - Optimize mappings, workflows, and data pipelines for high performance, scalability, and fault tolerance. - Collaborate with data architects, business analysts, and stakeholders to translate business requirements into technical solutions. - Work with Hadoop/HDFS, Hive, Spark, or cloud-based platforms (AWS, Azure, GCP) to process and manage large datasets. - Implement data quality checks, validations, and create detailed documentation for all data flows. - Support deployment activities and provide troubleshooting assistance in development, testing, and production environments. Required Skills & Experience: - 4+ years of hands-on experience with Informatica BDM, PowerCenter, or IICS. - Strong knowledge of ETL development, data warehousing concepts, and performance tuning. - Experience working with Hadoop ecosystems (HDFS, Hive, Spark) or cloud-native data services (AWS Glue, Azure Data Factory, BigQuery). - Strong understanding of SQL, data modeling, and data governance principles. - Excellent communication, analytical, and problem-solving skills with the ability to work effectively in cross-functional teams. Preferred Skills (Good to Have): - Experience with Python or Scala scripting for data processing. - Knowledge of Informatica IDQ (Data Quality) or EDC (Enterprise Data Catalog). - Exposure to Master Data Management (MDM) or data governance frameworks. - Experience working in Agile or DevOps environments. Education: - Bachelor's degree in Computer Science, Information Systems, or a related field. - Informatica or Cloud certifications will be an added advantage.,

As a skilled Senior Engineer at Impetus Technologies, you will utilize your expertise in Java and Big Data technologies to design, develop, and deploy scalable data processing applications. Your responsibilities will include collaborating with cross-functional teams, developing high-quality code, and optimizing data processing workflows. Additionally, you will mentor junior engineers and contribute to architectural decisions to enhance system performance and scalability. Key Responsibilities: - Design, develop, and maintain high-performance applications using Java and Big Data technologies. - Implement data ingestion and processing workflows with frameworks like Hadoop and Spark. - Collaborate with the data architecture team to define efficient data models. - Optimize existing applications for performance, scalability, and reliability. - Mentor junior engineers, provide technical leadership, and promote continuous improvement. - Participate in code reviews and ensure best practices for coding, testing, and documentation. - Stay up-to-date with technology trends in Java and Big Data, and evaluate new tools and methodologies. Skills and Tools Required: - Strong proficiency in Java programming for building complex applications. - Hands-on experience with Big Data technologies like Apache Hadoop, Apache Spark, and Apache Kafka. - Understanding of distributed computing concepts and technologies. - Experience with data processing frameworks and libraries such as MapReduce and Spark SQL. - Familiarity with database systems like HDFS, NoSQL databases (e.g., Cassandra, MongoDB), and SQL databases. - Strong problem-solving skills and the ability to troubleshoot complex issues. - Knowledge of version control systems like Git and familiarity with CI/CD pipelines. - Excellent communication and teamwork skills for effective collaboration. To succeed in this role, you should have: - Strong proficiency in Java and experience with Big Data technologies and frameworks. - Solid understanding of data structures, algorithms, and software design principles. - Excellent problem-solving skills and the ability to work independently and within a team. - Familiarity with cloud platforms and distributed computing concepts is a plus. Qualification: Bachelor's or Master's degree in Computer Science, Engineering, or related field. Experience: 7 to 10 years,

Role Overview: As a Senior Data Engineering Advisor at Dell Technologies in Bangalore, you will play a crucial role in developing technical tools and programs to automate data management processes, integrating medium to large structured data sets. Your responsibilities will involve collaborating with Data Scientists, Architects, and Businesses to design strategic projects and enhance complex processes. You will have the opportunity to design and build analytics solutions, develop web applications for self-service delivery of analytics, and work on machine learning algorithms to support applications. Key Responsibilities: - Design and build analytics solutions to derive transformative insights from large data sets. - Develop web applications for self-service delivery of analytics. - Create APIs, database objects, machine learning algorithms, and server-side code to support applications. - Collaborate with team members to integrate new components and features into the current application ecosystem. - Stay updated on industry trends to leverage new technologies and methodologies for the solution stack. Qualifications Required: - Bachelor's or advanced degree in Computer Science, Applied Mathematics, Engineering, or related field with 8 to 12 years of experience in utilizing data technologies for business intelligence solutions. - Excellent communication and presentation skills to explain big data platforms and solution designs to technical and non-technical stakeholders. - Proficiency in key data engineering technologies, including Big Data Tools, Cloud Services, and Object-Oriented or Object Function Scripting Languages. - Familiarity with statistics and machine learning concepts. - Expertise in writing, tuning, and debugging performant SQL. - Experience with technologies such as C#, .Net, HTML5, JavaScript, SQL Server, TeraData, Hadoop, Spark, and R. - Ability to create rich web interfaces using a modern client-side framework. - Strong understanding of computer science fundamentals and their practical application in real-world scenarios. Company Overview (if available): Dell Technologies is a diverse family of businesses dedicated to helping individuals and organizations revolutionize how they work, live, and play. By joining Dell, you will have the opportunity to advance your career alongside industry-leading professionals and cutting-edge technology. Together, we can build a future that benefits everyone as we believe that Progress Takes All of Us.,

Role Overview: You will work on collecting, storing, processing, and analyzing large sets of data. Your main focus will be on selecting the best solutions for these tasks, as well as maintaining, implementing, and monitoring them. Additionally, you will be responsible for integrating these solutions with the existing company architecture. Key Responsibilities: - Utilize your 6+ years" experience in Big Data technologies such as Hadoop, MapReduce, Hive, Sqoop, and Spark to design and implement high data volume solutions for ETL & Streaming purposes. - Build stream-processing systems using tools like Storm, Spark-Streaming, and Kafka streams. - Work with Big Data tools like Pig, Hive, Athena, Glue, Snowflake, and EMR to handle data effectively. - Utilize NoSQL databases including HBase, Cassandra, and MongoDB. - Implement various ETL techniques and frameworks, such as Flume. - Use messaging systems like Kafka or RabbitMQ for data processing. - Understand Lambda Architecture and its advantages and disadvantages. Qualifications Required: - 6+ years of experience in Big Data technologies (Hadoop, MapReduce, Hive, Sqoop, Spark) - Hands-on expertise in designing and implementing high data volume solutions for ETL & Streaming - Experience with stream-processing systems (Storm, Spark-Streaming, Kafka streams) - Proficiency in working with Big Data tools (Pig, Hive, Athena, Glue, Snowflake, EMR) - Familiarity with NoSQL databases (HBase, Cassandra, MongoDB) - Knowledge of ETL techniques and frameworks (Flume) - Experience with messaging systems (Kafka, RabbitMQ) - Good understanding of Lambda Architecture (Note: No additional details about the company were provided in the job description.),

Role Overview: As a Full Stack Engineer with a focus on backend development at Adobe, you will be part of the team responsible for Adobe Pass, a product suite catering to the TV Everywhere industry. Your role will involve designing, developing, and maintaining web applications at scale, ensuring security best practices, and collaborating with cross-functional teams to deliver seamless user experiences. You will have the opportunity to work on modern frontend and backend technologies, contribute to system design, and continuously learn and apply new technologies to enhance efficiency and scalability. Key Responsibilities: - Design, develop, and maintain end-to-end web applications using modern frontend and backend technologies. - Collaborate with product managers, designers, and engineers to deliver seamless user experiences. - Implement best practices for security, including authentication, authorization, and secure coding. - Write clean, maintainable, and well-tested code with attention to quality and performance. - Participate in code reviews and technical discussions to ensure high engineering standards. - Continuously learn and apply new technologies that improve efficiency, scalability, and developer productivity. Qualifications Required: - Bachelors or Masters degree in Computer Science or a related field, with 4+ years of experience building and operating full-stack, production-grade web applications. - Solid understanding of computer science fundamentals, data structures, algorithms, and application design. - Apply strong backend LLD skills to design and structure modules and services. - Strong understanding of system design principles for large-scale web applications. - Proficiency with Java, Spring Boot, and microservices architecture. - Strong understanding of web security concepts including OAuth2, JWT, and SAML. - Experience with PostgreSQL, HBase, or other SQL/NoSQL databases. - Experience in JavaScript, TypeScript, React, HTML, and CSS for building modern, responsive UIs. - Experience with testing frameworks such as JUnit, Mockito, Jest, or Cypress. - Experience with Docker, Kubernetes, and cloud-native deployments. - Experience in observability and monitoring tools (Grafana, Prometheus, Splunk). - Good understanding with event-driven systems and message queues (Kafka, RabbitMQ). - Good understanding of distributed systems like Spark, Hadoop. - Strong analytical and problem-solving skills with attention to detail. - Ability to work independently, manage multiple priorities, and collaborate effectively within a team. - Be an excellent teammate with good written and oral communication skills.,

As a Director of Customer Experience Analytics at our company, you will play a crucial role in integrating, monitoring, and continuously improving customer experience metrics across engineering and operations. Your responsibilities will involve collaborating closely with engineering teams to define data-driven metrics, build monitoring frameworks, and present insights to executive leadership. Here's what you can expect in this role: Responsibilities: - Proactive & Real-Time Monitoring: Design and implement systems for real-time and proactive monitoring of parameters influencing customer experience. - Executive Dashboard Ownership: Lead the development of a unified dashboard consolidating key metrics for leadership visibility. - Customer Health Index: Define and maintain a RAG model to quantify customer experience health. - Cross-Team Integration: Collaborate with various teams to identify gaps, reuse monitoring, and define new requirements. - Anomaly Detection Strategy: Define severity levels, detection logic, and automation for anomalies. - Roadmap & Governance: Own the roadmap for customer experience analytics, ensuring alignment with business priorities. - Bridge Technical and Executive Insights: Provide actionable data translating technical insights for executive decision-making. Key Skills and Qualifications: Must-Have Skills: - Program Leadership: Experience in driving cross-functional initiatives with measurable outcomes. - Collaboration & Influence: Ability to align diverse teams toward a common strategy. - Analytical Thinking: Interpret data, identify trends, and translate insights into action. - Monitoring Strategy: Familiarity with observability tools, alerting systems, and health metrics. - Hands-on Coding: Strong programming skills in Python or Java. - Communication: Strong collaboration and communication skills. Good-to-Have Technical Skills: - Experience with data pipelines, SQL/NoSQL, and cloud platforms. - Familiarity with big data technologies. - Visualization tools like Power BI or Tableau. - Machine learning knowledge. - Cloud Platforms: Familiarity with AWS or Google Cloud. Qualifications: - Education: Bachelors degree in Engineering, Computer Science, Data Science, or related field. Masters degree is a plus. - Experience: 15-20 years in data analysis and technical roles. Join us in this exciting role where you will lead the way in enhancing customer experience analytics and making a significant impact on our organization.,

As a Senior Data Engineering Advisor at Dell Technologies in Bangalore, you will be at the forefront of developing technical tools and programs to automate data management processes. You will collaborate with Data Scientists, Architects, and Business teams to design strategic projects and enhance complex processes. Your primary responsibilities will include: - Designing and building analytics solutions to extract transformative insights from large data sets. - Developing web applications for self-service delivery of analytics. - Creating APIs, database objects, machine learning algorithms, and server-side code to support applications. - Working with team members to integrate new components and features into the current application ecosystem efficiently. - Keeping abreast of industry trends to identify opportunities for implementing new technologies and methodologies into the solution stack. Qualifications Required: - 8-12 years of experience in full stack development using Object-Oriented languages like C#, .NET, HTML5, and JavaScript. - Proficiency in Data engineering technologies such as SQL Server, Teradata, Hadoop, Spark, and R. - Experience in big data platforms and designing solutions for both technical and non-technical stakeholders. - Ability to write, tune, and debug performant SQL for machine learning purposes. - Familiarity with Cloud Services and Object Function Scripting Languages. Desirable Skills: - Demonstrated ability in creating rich web interfaces using a modern client-side framework. Dell Technologies believes in the power of each team member to make a difference. By joining our team, you will have the opportunity to work with cutting-edge technology and some of the brightest minds in the industry. Dell Technologies is a diverse family of businesses dedicated to transforming how individuals and organizations work, live, and play. If you are seeking a chance to advance your career in a collaborative and innovative environment, we welcome you to apply. Application closing date: 30-Nov-2025 Dell Technologies upholds the principle of equal employment opportunity and is committed to providing a work environment free of discrimination and harassment. For more information, please refer to the Equal Employment Opportunity Policy.,

As a SAP BI / BW Expert with over 10 years of experience, you will be responsible for the architecture, design, development, and implementation of global data warehouse projects using SAP BW and the SAP Business Objects platform. Your expertise in SAP HANA and Hadoop Big Data platforms integration will be crucial in this role. Your responsibilities will include SAP HANA data modeling using Attribute View, Analytic View, and Calculation View, as well as SAP HANA programming utilizing SQL, SQL Script, and CE-Script. Key Responsibilities: - Designing and implementing global data warehouse projects using SAP BW and the SAP Business Objects platform - Integrating SAP HANA and Hadoop Big Data platforms into the existing infrastructure - Creating and maintaining SAP HANA data models including Attribute View, Analytic View, and Calculation View - Developing complex SAP HANA reports utilizing joins, ABAP, and SQL - Managing schemas, data model objects, and import/export content in SAP HANA Data Administration - Mentoring junior analysts on approach and results Qualifications Required: - MS or PhD in a relevant field - Over 10 years of experience in SAP BI / BW - At least 5 years of experience in architecture, design, development, and implementation of global data warehouse projects using SAP BW and SAP Business Objects platform - Minimum 2 years of experience with SAP HANA and Hadoop Big Data platforms integration - Expertise in SAP HANA data modeling, programming, and reporting - Strong knowledge in delivery management and program management for SAP projects - Excellent analytical and communication skills In this role, you will play a lead role in mentoring junior analysts, providing guidance on approach and results, and contributing to the success of full life cycle implementations for SAP projects. Your background in Business Process Consulting and problem definition will be valuable in defining and detailing processes to ensure successful project outcomes.,

As a Senior Software Engineer - AI at Netcore Cloud, you will be part of a dynamic team working on building the world's largest martech & product discovery products. You will collaborate with a group of highly skilled engineers and support function teams, tackling challenges that involve algorithmic problem solving, systems engineering, machine learning, and infrastructure on a massive scale. Your role will involve contributing to the development and maintenance of scalable Data/ML pipelines that underpin our high-performance, robust SAAS platform. Additionally, you will play a key role in enhancing Data Analytics/ML insights applications and real-time pipelines for our Martech & product discovery platform. **Key Responsibilities:** - Build and maintain scalable Data/ML pipelines supporting the SAAS platform - Contribute to developing/improving Data Analytics/ML insights applications & real-time pipelines **Qualifications Required:** - Overall experience of 5-7 years in building applications at scale - Proficiency in at least one modern programming language such as Java, Golang, Python - Proficiency in at least one data/ML programming language such as Python/Java/Scala - Hands-on experience in Design, Architecture, Implementation, Performance & Scalability, and Distributed Systems - Experience in big data technologies (spark/Apex/Storm) - Strong problem-solving and analytical skills - Understanding of the full software development lifecycle **Good To Have:** - Exposure to Docker, Kubernetes, and related ecosystems - Experience in building high-throughput big data pipelines & batch data processing tools - Experience in highly scalable tools like Kafka, Spark, Vertica, Hive, Hadoop - Experience in ML toolkits like Kubeflow/AI workflows/AWS Batch Netcore Cloud provides a stimulating environment for innovators, problem solvers, and learners. You will have the opportunity to work on cutting-edge technologies and be part of a team that values creativity and excellence. Join us to make a significant impact and enjoy a comprehensive benefits package.,

As a Consultant, Data Engineering at Dell Technologies, your role is pivotal in developing technical tools and programs to automate the data management process and integrate medium to large structured data sets. You will collaborate with Data Scientists, Architects, and Businesses to design strategic projects, improve complex processes, and deliver transformative insights from extremely large data sets. **Key Responsibilities:** - Design and build analytics solutions for generating insights from petabyte-scale data sets. - Develop web applications for self-service delivery of analytics. - Create APIs, database objects, machine learning algorithms, and server-side code to support applications. - Collaborate with team members to integrate new components and features into the current application ecosystem. - Stay updated on industry trends, technologies, and methodologies to implement new solutions as appropriate. **Qualifications Required:** - 13 to 18 years of experience in Data engineering technologies such as SQL Server, Teradata, Hadoop, Spark, and R. - Proficiency in big data platforms and solution designs for both technical and non-technical stakeholders. - Strong experience in machine learning and proficient in writing, tuning, and debugging performant SQL. - Skills in full stack development using Object-Oriented languages like C#, .NET, HTML5, and JavaScript. - Familiarity with Cloud Services and Object Function Scripting Languages. At Dell Technologies, we believe in the power of each team member to make a significant impact. We prioritize our team members and provide them with opportunities to work with cutting-edge technology. If you are seeking a chance to grow your career alongside some of the industry's best minds, Dell Technologies is the place for you. Join us in building a future that benefits everyone because Progress Takes All of Us.,

Role Overview: As a Presales Specialist at Neysa, you will play a crucial role in engaging with customers to understand their technical requirements, design customized solutions, and drive successful technical engagements. Your responsibilities will include presenting complex technology solutions, creating compelling demonstrations, and assisting in converting sales opportunities. You will collaborate closely with the sales team to provide technical support, deliver presentations, conduct technical demonstrations, and facilitate workshops to uncover customer requirements. Key Responsibilities: - Work closely with customers to understand their business challenges and technical requirements, designing and proposing customized solutions leveraging Cloud, Network, AI, and Machine Learning technologies. - Collaborate with the sales team to provide technical support during the sales process, including delivering presentations, conducting technical demonstrations, and assisting in the development of proposals and RFP responses. - Engage with prospects and customers throughout the sales cycle, acting as the technical liaison and conducting deep-dive discussions to uncover technical requirements and offer viable solutions. - Lead the technical aspects of PoC engagements, demonstrating the capabilities and benefits of proposed solutions, collaborating with customers to validate solutions. - Deliver compelling product demos and presentations tailored to customers" business and technical needs, simplifying complex technical concepts for both business and technical stakeholders. - Assist in crafting technical proposals, responding to RFPs, and providing technical content that highlights the company's offerings, differentiators, and technical value. - Facilitate customer workshops and training sessions to enable customers to understand the architecture, functionality, and capabilities of the solutions offered. - Provide feedback to product management and engineering teams based on customer interactions and market demands, contributing to future product offerings and improvements. - Stay updated on industry trends, new technologies, and competitor offerings in AI, Machine Learning, Cloud, and Networking to provide strategic insights to sales and product teams. - Create and maintain technical documentation, including solution designs, architecture diagrams, and deployment plans, and track and report on pre-sales activities. Qualifications Required: - Minimum of 8-10 years of experience in a pre-sales or technical sales role, with a focus on AI, Cloud, and Networking solutions. - Solid understanding of Cloud computing, Data Center infrastructure, Networking, and emerging AI/ML technologies. - Experience with architecture design and solutioning, especially in hybrid cloud and multi-cloud environments. - Familiarity with tools such as Kubernetes, Docker, TensorFlow, Apache Hadoop, and machine learning frameworks. - Degree in Computer Science, Engineering, or a related field. - Cloud and AI / ML certifications are highly desirable. - Ability to work collaboratively with cross-functional teams including product, engineering, and delivery teams. (Note: Additional details about the company were not provided in the job description.),

As a Data Architect at Niveus Solutions, you will be responsible for designing, building, and maintaining robust data platforms on Azure and GCP to drive business growth and decision-making. **Key Responsibilities:** - Develop and implement comprehensive data architectures, including data warehouses, data lakes, and data lake houses on Azure and GCP platforms. - Design and create data models aligning with business requirements for efficient data analysis and reporting. - Develop and optimize ETL/ELT pipelines using tools like Databricks, Azure Data Factory, or GCP Data Fusion. - Design and implement scalable data warehouses on Azure Synapse Analytics or GCP BigQuery for enterprise reporting and analytics. - Implement data lakehouses on Azure Databricks or GCP Dataproc for unified data management and analytics. - Leverage Hadoop components for distributed data processing and analysis. - Establish and maintain data governance policies to ensure data quality, security, and compliance. - Write scripts using Python, SQL, or Scala to automate data tasks. - Mentor and coach junior data architects and engineers. - Collaborate with stakeholders to understand data requirements and deliver solutions. **Qualifications:** - Bachelor's degree in Computer Science, Data Science, or related field. - 5+ years of experience in data architecture, data warehousing, and data lakehouse implementation. - Proficiency in Azure and GCP data services. - Expertise in ETL/ELT tools, Hadoop components, and scripting languages. - Experience with data governance, compliance, and strong communication skills. - Ability to work independently and collaboratively. If you are passionate about data architecture and have a successful track record, we encourage you to apply and be part of our data-driven journey at Niveus Solutions.,

As an Infoscion, your primary role will involve getting to the heart of customer issues, diagnosing problem areas, designing innovative solutions, and facilitating deployment to ensure client satisfaction. You will be responsible for developing proposals, contributing to solution design, planning configuration activities, conducting product demonstrations, and preparing effort estimates aligned with customer budgetary requirements and organizational financial guidelines. Key Responsibilities: - Diagnose customer issues, design innovative solutions, and facilitate deployment for client satisfaction - Develop proposals and provide inputs in solution design based on expertise - Plan configuration activities, conduct product demonstrations, and assist in resolving queries related to requirements - Lead small projects, contribute to unit level and organizational initiatives, and provide high-quality solutions to customers - Conduct POC workshops, prepare effort estimates, and actively participate in client interactions Qualification Required: - Ability to develop value-creating strategies and innovation models for clients - Knowledge of software configuration management systems and awareness of latest technologies - Strong logical thinking, problem-solving, and collaboration skills - Understanding of financial processes, pricing models, and technology solutions - Industry domain knowledge, client interfacing skills, and project management experience Additional Details: Infosys is a leading global consulting and IT services company dedicated to helping clients navigate their digital transformation journey. By joining Infosys, you will have the opportunity to work on cutting-edge technologies and contribute to delivering value-added solutions to clients worldwide. Preferred Skills: - Technology: ASP.Net, ASP.Net Web API, Big Data - Hadoop, Splunk, Splunk Admin, Dynatrace, AppDynamics, Core Java, Java - ALL, Microsoft Technologies - ASP.NET Core,