73 Netezza Jobs - Page 2

Design and implement ETL solutions using IBM InfoSphere DataStage to integrate and process large datasets. You will develop, test, and optimize data pipelines to ensure smooth data transformation and loading. Expertise in IBM InfoSphere DataStage, ETL processes, and data integration is essential for this position.

The IBM InfoSphere DataStage role involves working with relevant technologies, ensuring smooth operations, and contributing to business objectives. Responsibilities include analysis, development, implementation, and troubleshooting within the IBM InfoSphere DataStage domain.

The IBM InfoSphere DataStage role involves working with relevant technologies, ensuring smooth operations, and contributing to business objectives. Responsibilities include analysis, development, implementation, and troubleshooting within the IBM InfoSphere DataStage domain.

The IBM InfoSphere DataStage, Teradata role involves working with relevant technologies, ensuring smooth operations, and contributing to business objectives. Responsibilities include analysis, development, implementation, and troubleshooting within the IBM InfoSphere DataStage, Teradata domain.

The IBM InfoSphere DataStage E3 role involves working with relevant technologies, ensuring smooth operations, and contributing to business objectives. Responsibilities include analysis, development, implementation, and troubleshooting within the IBM InfoSphere DataStage E3 domain.

What You’ll Do We are seeking a dynamic Account Executive Artificial Intelligence (AI) to join our strong and strategic sales tea m . As a n AE (AI), you will drive the adoption of our AI solutions in our “Rest of Cloud” ( RoC ) market that includes to Cloud Service Providers (CSPs) and emerging AI providers such as AI native cloud builders, AI SaaS providers, and AI System Integrators . You will understand their specific needs and drive AI Infrastructure and Networking solutions that align to their business operations. This role requires a deep understanding of AI Infrastructure and large-scale networking with a strong ability to translate technical concepts to a diverse audience. Who You’ll Work With The Cloud + AI Infrastructure team delivers one scalable strategy with local execution for customer transformation and growth. We are the worldwide go-to-market compute and data center networking engine assembling market transitions and engaging with sellers to fuel growth for customers and Cisco. Alongside our colleagues, Cloud & AI Infrastructure builds the sales strategy, activates sellers and technical communities, and accelerates selling every single day. Who You Are You will develop and execute a strategy to deliver incremental revenu e for AI and large-scale networking products and services including network routing and switching, optics and data center interconnects, automation and performance optimization across emerging AI provider accounts and develop relationships with key decision-makers and partners. Engaging with your clients to understand their business challenges and conducting detailed analysis to find new opportunities for AI and networking solutions are the dynamic skills you will bring to this role. You understand AI technology and the market and can translate technical concepts i nto business value for clients. Minimum Qualifications 8 + years of technology-related business development experience Experience unlocking revenue for new innovative technology-based solutions. Experience working with Cloud Service Providers, NeoCloud customers, and/or AI System Integrators . Experience in understanding business issues of Cloud Builders and Providers, Networking Infrastructure / accelerated Computing/ Data Center technology/ Deep learning & machine learning. Proven ability to work cross-functionally with Engineering and Marketing to develop and launch new AI or Networking Infrastructure offers Preferred Qualifications Bachelor’s degree or equivalent experience in Business, Computer Science, Engineering, or a related field; advanced degree is a plus. Excellent verbal and written communication skills. Experience bridging large-scale network ing concepts with AI infrastructure (data center / compute) Experience with deep learning, data science, and NVIDIA GPUs. Experience in two or more data estate workloads such as: Microsoft’s Data & AI Platform (Azure Synapse Analytics, Azure Databricks, CosmosDB , Azure SQL or HDInsight, etc.), AWS (Redshift, Aurora, Glue), Google ( BigQuery ), MongoDB, Cassandra, Snowflake, Teradata, Oracle Exadata, IBM Netezza, SAP (HANA, BW), Apache Hadoop & Spark, MapR or Cloudera/Hortonworks, etc. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Why Cisco #WeAreCisco. We are all unique, but collectively we bring our talents to work as a team, to develop innovative technology and power a more inclusive, digital future for everyone. How do we do it? Well, for starters – with people like you! Nearly every internet connection around the world touches Cisco. We’re the Internet’s optimists. Our technology makes sure the data traveling at light speed across connections does so securely, yet it’s not what we make but what we make happen which marks us out. We’re helping those who work in the health service to connect with patients and each other; schools, colleges, and universities to teach in even the most challenging of times. We’re helping businesses of all shapes and sizes to connect with their employees and customers in new ways, providing people with access to the digital skills they need and connecting the most remote parts of the world – whether through 5G, or otherwise. We tackle whatever challenges come our way. We have each other’s backs, we recognize our accomplishments, and we grow together. We celebrate and support one another – from big and small things in life to big career moments. And giving back is in our DNA (we get 10 days off each year to do just that). We know that powering an inclusive future starts with us. Because without diversity and a dedication to equality, there is no moving forward. Our 30 Inclusive Communities, that bring people together around commonalities or passions, are leading the way. Together we’re committed to learning, listening, caring for our communities, whilst supporting the most vulnerable with a collective effort to make this world a better place either with technology, or through our actions. So, you have colorful hair? Don’t care. Tattoos? Show off your ink. Like polka dots? That’s cool. Pop culture geek? Many of us are. Passion for technology and world changing? Be you, with us! #WeAreCisco Show more Show less

What You’ll Do We are seeking a dynamic Account Executive Artificial Intelligence (AI) to join our strong and strategic sales tea m . As a n AE (AI), you will drive the adoption of our AI solutions in our “Rest of Cloud” ( RoC ) market that includes to Cloud Service Providers (CSPs) and emerging AI providers such as AI native cloud builders, AI SaaS providers, and AI System Integrators . You will understand their specific needs and drive AI Infrastructure and Networking solutions that align to their business operations. This role requires a deep understanding of AI Infrastructure and large-scale networking with a strong ability to translate technical concepts to a diverse audience. Who You’ll Work With The Cloud + AI Infrastructure team delivers one scalable strategy with local execution for customer transformation and growth. We are the worldwide go-to-market compute and data center networking engine assembling market transitions and engaging with sellers to fuel growth for customers and Cisco. Alongside our colleagues, Cloud & AI Infrastructure builds the sales strategy, activates sellers and technical communities, and accelerates selling every single day. Who You Are You will develop and execute a strategy to deliver incremental revenu e for AI and large-scale networking products and services including network routing and switching, optics and data center interconnects, automation and performance optimization across emerging AI provider accounts and develop relationships with key decision-makers and partners. Engaging with your clients to understand their business challenges and conducting detailed analysis to find new opportunities for AI and networking solutions are the dynamic skills you will bring to this role. You understand AI technology and the market and can translate technical concepts i nto business value for clients. Minimum Qualifications 8 + years of technology-related business development experience Experience unlocking revenue for new innovative technology-based solutions. Experience working with Cloud Service Providers, NeoCloud customers, and/or AI System Integrators . Experience in understanding business issues of Cloud Builders and Providers, Networking Infrastructure / accelerated Computing/ Data Center technology/ Deep learning & machine learning. Proven ability to work cross-functionally with Engineering and Marketing to develop and launch new AI or Networking Infrastructure offers Preferred Qualifications Bachelor’s degree or equivalent experience in Business, Computer Science, Engineering, or a related field; advanced degree is a plus. Excellent verbal and written communication skills. Experience bridging large-scale network ing concepts with AI infrastructure (data center / compute) Experience with deep learning, data science, and NVIDIA GPUs. Experience in two or more data estate workloads such as: Microsoft’s Data & AI Platform (Azure Synapse Analytics, Azure Databricks, CosmosDB , Azure SQL or HDInsight, etc.), AWS (Redshift, Aurora, Glue), Google ( BigQuery ), MongoDB, Cassandra, Snowflake, Teradata, Oracle Exadata, IBM Netezza, SAP (HANA, BW), Apache Hadoop & Spark, MapR or Cloudera/Hortonworks, etc. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Why Cisco #WeAreCisco. We are all unique, but collectively we bring our talents to work as a team, to develop innovative technology and power a more inclusive, digital future for everyone. How do we do it? Well, for starters – with people like you! Nearly every internet connection around the world touches Cisco. We’re the Internet’s optimists. Our technology makes sure the data traveling at light speed across connections does so securely, yet it’s not what we make but what we make happen which marks us out. We’re helping those who work in the health service to connect with patients and each other; schools, colleges, and universities to teach in even the most challenging of times. We’re helping businesses of all shapes and sizes to connect with their employees and customers in new ways, providing people with access to the digital skills they need and connecting the most remote parts of the world – whether through 5G, or otherwise. We tackle whatever challenges come our way. We have each other’s backs, we recognize our accomplishments, and we grow together. We celebrate and support one another – from big and small things in life to big career moments. And giving back is in our DNA (we get 10 days off each year to do just that). We know that powering an inclusive future starts with us. Because without diversity and a dedication to equality, there is no moving forward. Our 30 Inclusive Communities, that bring people together around commonalities or passions, are leading the way. Together we’re committed to learning, listening, caring for our communities, whilst supporting the most vulnerable with a collective effort to make this world a better place either with technology, or through our actions. So, you have colorful hair? Don’t care. Tattoos? Show off your ink. Like polka dots? That’s cool. Pop culture geek? Many of us are. Passion for technology and world changing? Be you, with us! #WeAreCisco Show more Show less

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Software Development Engineer II Software Development Engineer (Data Engineering) Overview Mastercard is the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. Enterprise Data Solution (EDS) is focused on enabling insights into Mastercard network and help build data-driven products by curating and preparing data in a secure and reliable manner. Moving to a “Unified and Fault-Tolerant Architecture for Data Ingestion and Processing” is critical to achieving this mission. As a Software Development Engineer (Data Engineering) in Enterprise Data Solution (EDS), you will have the opportunity to build high performance data pipelines to load into Mastercard Data Warehouse. Our Data Warehouse provides analytical capabilities to number of business users who help different customers provide answer to their business problems through data. You will play a vital role within a rapidly growing organization, while working closely with experienced and driven engineers to solve challenging problems. Role Participant medium-to-large size data engineering projects Discover, ingest, and incorporate new sources of real-time, streaming, batch, and API-based data into our platform to enhance the insights we get from running tests and expand the ways and properties on which we can test Assist business in utilizing data-driven insights to drive growth and transformation. Build and maintain data processing workflows feeding Mastercard analytics domains. Facilitate reliable integrations with internal systems and third-party API's as needed. Support data analysts as needed, advising on data definitions and helping them derive meaning from complex datasets. Work with cross functional agile teams to drive projects through full development cycle. Help the team improve with the usage of data engineering best practices. Collaborate with other data engineering teams to improve the data engineering ecosystem and talent within Mastercard. All About You At least Bachelor's degree in Computer Science, Computer Engineering or Technology related field or equivalent work experience Experience in Data Warehouse related projects in product or service based organization Expertise in Data Engineering and implementing multiple end-to-end DW projects in Big Data environment Experience of working with Databases like Oracle, Netezza and have strong SQL knowledge Additional experience of building data pipelines through Spark with Scala/Python/Java on Hadoop is preferred Experience of working on Nifi will be an added advantage Experience of working in Agile teams Strong analytical skills required for debugging production issues, providing root cause and implementing mitigation plan Strong communication skills - both verbal and written – and strong relationship, collaboration skills and organizational skills Ability to be high-energy, detail-oriented, proactive and able to function under pressure in an independent environment along with a high degree of initiative and self-motivation to drive results Ability to quickly learn and implement new technologies, and perform POC to explore best solution for the problem statement Flexibility to work as a member of a matrix based diverse and geographically distributed project teams Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. R-246732 Show more Show less

Role Description Job Title: Data Analyst Experience: 8+ Years Location: Thiruvananthapuram Job Summary We are seeking an experienced Data Analyst with a strong background in banking, regulatory reporting, and financial services. The ideal candidate should have expertise in data analysis, governance, SQL, system integration, and business intelligence. This role involves working closely with stakeholders to analyze complex business requirements, ensure data quality, and provide solutions that align with organizational goals. Core Responsibilities Business & System Analysis: Analyze and translate complex business requirements into functional system design documents. Perform technology and system analysis, leveraging knowledge of applications, interfaces, and data structures. Facilitate and participate in design whiteboarding sessions to ensure business needs are met within SVB standards. Provide leadership and support for system production issues, change requests, and maintenance while maintaining documentation. Data Analytics & Governance Perform data mapping, data quality checks, and data profiling to ensure accuracy and consistency. Apply advanced data analysis techniques to understand detailed data flows between and within systems. Ensure data governance best practices and compliance with regulatory standards. Banking & Regulatory Reporting Expertise Work with Sanctions, Fraud, KYC, AML, and Payments domain data. Develop insights and reports for regulatory and compliance reporting within financial services. Ensure data accuracy in risk and compliance frameworks. SQL & Data Management Write complex SQL queries for data extraction, transformation, and analysis. Work with relational databases and data warehouses to manage large datasets. Support ETL processes and API/Microservices-based system integrations. Systems & Implementation Support Configure systems and develop expertise in system functionality and design. Provide expert guidance in data-related projects, including systems implementation and integration. Ensure alignment of future technology and system trends with business needs. Collaboration & Communication Prepare and present subject matter expertise through documentation and presentations. Collaborate with cross-functional teams, including IT, finance, and regulatory teams, to define and refine data requirements. Work with remote teams to resolve production incidents quickly and efficiently. Mandatory Skills & Qualifications 8+ years of experience in Data Analytics, Business Intelligence, or related fields. 5+ years of experience in banking and regulatory reporting domains. Bachelor’s degree in Computer Science, Information Science, or related discipline (or equivalent work experience). Strong data background with expertise in data mapping, data quality, data governance, and data warehousing. Expertise in SQL for data querying, transformation, and reporting. Experience in Sanctions, Fraud, KYC, AML, and Payments domains. Strong experience with systems integration using API/Microservices/web services, ETL. Hands-on experience with SAP BODS (BusinessObjects Data Services). Experience working on systems implementation projects in the banking or financial sector. Excellent written and verbal communication skills for stakeholder interactions. Good To Have Skills & Qualifications Knowledge of Big Data technologies (Snowflake, etc.). Familiarity with BI tools (Tableau, Power BI, Looker, etc.). Exposure to AI/ML concepts and tools for data-driven insights. Skills Sap Bods,Netezza,Big Data Show more Show less

Foreword: At iGreenTree, we're passionate about empowering energy and utility providers with innovative IT solutions. With deep domain knowledge and a dedication to innovation, we help our clients stay ahead of the curve in a rapidly changing industry. Whether you need IT consulting, application development, system integration, or digital transformation services, our team of experts has the expertise to deliver the right solution for your business. Partner with iGreenTree to unleash the power of technology and achieve sustainable growth in today's dynamic landscape. Who We Are Looking For: An ideal candidate who must demonstrate in-depth knowledge and understanding of RDBMS concepts and experienced in writing complex queries and data integration processes in SQL/TSQL and NoSQL. This individual will be responsible for helping the design, development and implementation of new and existing applications. Roles and Responsibilities: Reviews existing database designs and data management procedures and provides recommendations for improvement. Responsible for providing subject matter expertise in design of database schemes and performing data modeling (logical and physical models), for product feature enhancements as well as extending analytical capabilities. Develop technical documentation as needed. Architect, develop, validate and communicate Business Intelligence (BI) solutions like dashboards, reports, KPIs, instrumentation, and alert tools. Define data architecture requirements for cross-product integration within and across cloud-based platforms. Analyze, architect, develop, validate and support integrating data into SaaS platforms (like ERP, CRM, etc.) from external data source; Files (XML, CSV, XLS, etc.), APIs (REST, SOAP), RDBMS. Perform thorough analysis of complex data and recommend actionable strategies. Effectively translate data modeling and BI requirements into the design process. Big Data platform design i.e. tool selection, data integration, and data preparation for predictive modeling. Required Skills: Minimum of 4-6 years of experience in data modeling (including conceptual, logical and physical data models. 2-3 years of experience in Extraction, Transformation and Loading ETL work using data migration tools like Talend, Informatica, DataStage, etc. 4-6 years of experience as a database developer in Oracle, MS SQL or other enterprise database with focus on building data integration processes. Candidate should have any NoSQL technology exposure preferably MongoDB. Experience in processing large data volumes indicated by experience with Big Data platforms (Teradata, Netezza, Vertica or Cloudera, Hortonworks, SAP HANA, Cassandra, etc.) Understanding data warehousing concepts and decision support systems. Ability to deal with sensitive and confidential material and adhere to worldwide data security and Experience writing documentation for design and feature requirements. Experience developing data-intensive applications on cloud-based architectures and infrastructures such as AWS, Azure, etc. Excellent communication and collaboration skills. Show more Show less

Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets. - Grade Specific The role support the team in building and maintaining data infrastructure and systems within an organization. Skills (competencies) Ab Initio Agile (Software Development Framework) Apache Hadoop AWS Airflow AWS Athena AWS Code Pipeline AWS EFS AWS EMR AWS Redshift AWS S3 Azure ADLS Gen2 Azure Data Factory Azure Data Lake Storage Azure Databricks Azure Event Hub Azure Stream Analytics Azure Sunapse Bitbucket Change Management Client Centricity Collaboration Continuous Integration and Continuous Delivery (CI/CD) Data Architecture Patterns Data Format Analysis Data Governance Data Modeling Data Validation Data Vault Modeling Database Schema Design Decision-Making DevOps Dimensional Modeling GCP Big Table GCP BigQuery GCP Cloud Storage GCP DataFlow GCP DataProc Git Google Big Tabel Google Data Proc Greenplum HQL IBM Data Stage IBM DB2 Industry Standard Data Modeling (FSLDM) Industry Standard Data Modeling (IBM FSDM)) Influencing Informatica IICS Inmon methodology JavaScript Jenkins Kimball Linux - Redhat Negotiation Netezza NewSQL Oracle Exadata Performance Tuning Perl Platform Update Management Project Management PySpark Python R RDD Optimization SantOs SaS Scala Spark Shell Script Snowflake SPARK SPARK Code Optimization SQL Stakeholder Management Sun Solaris Synapse Talend Teradata Time Management Ubuntu Vendor Management

This role involves the development and application of engineering practice and knowledge in designing, managing and improving the processes for Industrial operations, including procurement, supply chain and facilities engineering and maintenance of the facilities. Project and change management of industrial transformations are also included in this role. - Grade Specific Focus on Industrial Operations Engineering. Fully competent in own area. Acts as a key contributor in a more complex/ critical environment. Proactively acts to understand and anticipates client needs. Manages costs and profitability for a work area. Manages own agenda to meet agreed targets. Develop plans for projects in own area. Looks beyond the immediate problem to the wider implications. Acts as a facilitator, coach and moves teams forward. Skills (competencies)

Desired Competencies (Technical/Behavioral Competency) Must-Have IBM DataStage / Informatica, Snowflake, SQL, Unix Good-to-Have DBT SN Responsibility of / Expectations from the Role 1 Analyze and build ETL data assets using IBM DataStage / Informatica and On-Prem Databases such as Netezza. Propose design and implement solutions to migrate such data assets to cloud data warehouses such as AWS S3, Snowflake and built ELT transformations using DBT and Python 2 Create and manage data pipelines supporting CI/CD. 3 Work with project and business analyst leads in order to develop and clarify in-depth technical requirements including logical and physical data modeling activities 4 Develop, test, enhance, debug and support data assets / applications for business units or supporting functions using IBM Infosphere Data Stage ETL tool suite both ETL and ELT approaches. These application program solutions may involve diverse development platforms, software, hardware, technologies and tools 5 Participates in the design, development and implementation of complex applications, often using IBM Infosphere Information Server (IIS) products like Data Stage, Quality Stage on a Linux Grid environment. Snowflake, Control-M/Scheduling tools. Show more Show less

TCS has been a great pioneer in feeding the fire of young techies like you. We are a global leader in the technology arena and there’s nothing that can stop us from growing together. What we are looking for Role: SQL DBA Experience Range: 6 - 12 years Location: New Delhi / Gurugram Interview Mode: Saturday Virtual Drive Must Have: 1. MSSQL Server 2. Azure SQL Server 3. Must have done certifications in SQL Server / Azure SQL Good to Have: Minimum 2 mandate details are mandate with two or 3 liners 1. DB2 2. Netezza 3. PowerShell 4. Azure PostgreSQL Essential: Administer and maintain database systems, with a focus on MS SQL Server along with Azure, PostgreSQL, and DB2. Supporting SQL server in Azure environment as IAAS/SQL MI/PaaS services. Managing Azure SQL databases, SQL Managed Instances, Azure VM in Azure Portal. Monitor database performance and proactively address issues to ensure optimal functionality. Collaborate with project teams to understand database requirements and provide efficient solutions. Participate in the design, implementation, and maintenance of database structures for different applications. Work independently to troubleshoot and resolve database-related issues promptly. Implement best practices to enhance database performance and security Manage databases on Azure Cloud, ensuring seamless integration and optimization for cloud-based solutions Utilize SQL Server tools and other relevant technologies for effective database administration Stay updated on the latest advancements in database tools and incorporate them into daily practices. Collaborate with cross-functional teams, including developers and system administrators, to achieve project goals and Provide guidance and support to team members on database-related issues. Minimum Qualification: •15 years of full-time education •Minimum percentile of 50% in 10th, 12th, UG & PG (if applicable) Show more Show less

TCS has been a great pioneer in feeding the fire of young techies like you. We are a global leader in the technology arena and there’s nothing that can stop us from growing together. What we are looking for Role: SQL DBA Experience Range: 6 - 12 years Location: New Delhi / Gurugram Interview Mode: Saturday Virtual Drive Must Have: Minimum 5 mandate details are mandate with two or 3 liners 1. MSSQL Server 2. Azure SQL Server 3. Must have done certifications in SQL Server / Azure SQL Good to Have: Minimum 2 mandate details are mandate with two or 3 liners 1. DB2 2. Netezza 3. PowerShell 4. Azure PostgreSQL Essential: Administer and maintain database systems, with a focus on MS SQL Server along with Azure, PostgreSQL, and DB2. Supporting SQL server in Azure environment as IAAS/SQL MI/PaaS services. Managing Azure SQL databases, SQL Managed Instances, Azure VM in Azure Portal. Monitor database performance and proactively address issues to ensure optimal functionality. Collaborate with project teams to understand database requirements and provide efficient solutions. Participate in the design, implementation, and maintenance of database structures for different applications. Work independently to troubleshoot and resolve database-related issues promptly. Implement best practices to enhance database performance and security Manage databases on Azure Cloud, ensuring seamless integration and optimization for cloud-based solutions Utilize SQL Server tools and other relevant technologies for effective database administration Stay updated on the latest advancements in database tools and incorporate them into daily practices. Collaborate with cross-functional teams, including developers and system administrators, to achieve project goals and Provide guidance and support to team members on database-related issues. Minimum Qualification: •15 years of full-time education •Minimum percentile of 50% in 10th, 12th, UG & PG (if applicable) Show more Show less

Are you insatiably curious, deeply passionate about the realm of databases and analytics, and ready to tackle complex challenges in a dynamic environment in the era of AI? If so, we invite you to join our team as a Cloud & AI Solution Engineer in Innovative Data Platform for commercial customers at Microsoft. Here, you'll be at the forefront of innovation, working on cutting-edge projects that leverage the latest technologies to drive meaningful impact. Join us and be part of a team that thrives on collaboration, creativity, and continuous learning. Databases & Analytics is a growth opportunity for Microsoft Azure, as well as its partners and customers. It includes a rich portfolio of products including IaaS and PaaS services on the Azure Platform in the age of AI. These technologies empower customers to build, deploy, and manage database and analytics applications in a cloud-native way. As an Innovative Data Platform Solution Engineer (SE), you will play a pivotal role in helping enterprises unlock the full potential of Microsoft’s cloud database and analytics stack across every stage of deployment. You’ll collaborate closely with engineering leaders and platform teams to accelerate the Fabric Data Platform, including Azure Databases and Analytics, through hands-on engagements like Proof of Concepts, hackathons, and architecture workshops. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your technical skills, and become adept at solution design and deployment. You’ll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you’ll help customers modernize their data platform and realize the full value of Microsoft’s platform, all while enjoying flexible work opportunities. As a trusted technical advisor, you’ll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you’ll help customers modernize their data platform and realize the full value of Microsoft’s platform. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments. Lead hands-on engagements—hackathons and architecture workshops—to accelerate adoption of Microsoft’s cloud platforms. Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions Resolve technical blockers and objections, collaborating with engineering to share insights and improve products. Maintain deep expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL. Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions. Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums Qualifications 5+ years technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ year(s) technical pre-sales or technical consulting experience OR equivalent experience Expert on Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps. Expert on Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligent, and reporting using integrated Data Security & Governance. Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. Show more Show less

Are you insatiably curious, deeply passionate about the realm of databases and analytics, and ready to tackle complex challenges in a dynamic environment in the era of AI? If so, we invite you to join our team as a Cloud & AI Solution Engineer in Innovative Data Platform for commercial customers at Microsoft. Here, you'll be at the forefront of innovation, working on cutting-edge projects that leverage the latest technologies to drive meaningful impact. Join us and be part of a team that thrives on collaboration, creativity, and continuous learning. Databases & Analytics is a growth opportunity for Microsoft Azure, as well as its partners and customers. It includes a rich portfolio of products including IaaS and PaaS services on the Azure Platform in the age of AI. These technologies empower customers to build, deploy, and manage database and analytics applications in a cloud-native way. As an Innovative Data Platform Solution Engineer (SE), you will play a pivotal role in helping enterprises unlock the full potential of Microsoft’s cloud database and analytics stack across every stage of deployment. You’ll collaborate closely with engineering leaders and platform teams to accelerate the Fabric Data Platform, including Azure Databases and Analytics, through hands-on engagements like Proof of Concepts, hackathons, and architecture workshops. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your technical skills, and become adept at solution design and deployment. You’ll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you’ll help customers modernize their data platform and realize the full value of Microsoft’s platform, all while enjoying flexible work opportunities. As a trusted technical advisor, you’ll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you’ll help customers modernize their data platform and realize the full value of Microsoft’s platform. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments. Lead hands-on engagements—hackathons and architecture workshops—to accelerate adoption of Microsoft’s cloud platforms. Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions Resolve technical blockers and objections, collaborating with engineering to share insights and improve products. Maintain deep expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL. Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions. Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums Qualifications 5+ years technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ year(s) technical pre-sales or technical consulting experience OR equivalent experience Expert on Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps. Expert on Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligent, and reporting using integrated Data Security & Governance. Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. Show more Show less

Build the future of the AI Data Cloud. Join the Snowflake team. The Technical Instructor for the Snowflake Customer Education and Training Team will be responsible for creating and delivering compelling education contents and training sets that make complex concepts come alive in instructor-led classroom venues. The senior instructor will be seen as a subject matter expert and leader in transferring knowledge of Snowflake to customers, partners and internals and in accelerating their technical on-boarding journey. This role will also be responsible for the cross-training efforts, program management and help strategically ramp multiple resources within our external stakeholders. This role is a unique opportunity to contribute in a meaningful way to high value and high impact delivery at a very exciting time for the company. Snowflake is an innovative, high-growth, customer-focused company in a large and growing market. If you are an energetic, self-managed professional with experience teaching data courses to customers and possess excellent presentation and communication skills, we’d love to hear from you. AS A TECHNICAL INSTRUCTOR AT SNOWFLAKE, YOU WILL: Teach a breadth of technical courses to onboard customers and partners to Snowflake, the data warehouse built for the Cloud Cross-train a breadth of technical courses to qualified individuals and resources The scope of course concepts may include foundational and advanced courses in the discipline which includes Snowflake data warehousing concepts, novel SQL capabilities, data consumption and connectivity interfaces, data integration and ingestion capabilities, database security features, database performance topics, Cloud ecosystem topics and more Apply database and data warehousing industry/domain/technology expertise and experience during training sessions to help customers and partners ease their organizations into the Snowflake data warehouse from prior database environments Deliver contents and cross train on delivery best practices using a variety of presentation formats including engaging lectures, live demonstration, and technical labs Work with customers and partners that are investing in the train the trainer program to certify their selected trainers ensuring they are well prepared and qualified to deliver the course at their organization Strong eye for design, making complex training concepts come alive in a blended educational delivery model Work with the education content developers to help prioritize, create, integrate, and publish training materials and hands-on exercises to Snowflake end users; drive continuous improvement of training performance Work with additional Snowflake subject-matter-experts in creating new education materials and updates to keep pace with Snowflake product updates OUR IDEAL TECHNICAL INSTRUCTOR WILL HAVE: Strong data warehouse and data-serving platform background Recent experience with using SQL including potentially in complex workloads 5-10 years of experience in technical content training development and delivery Strong desire and ability to teach and train Prior experience with other databases (e.g. Oracle, IBM Netezza, Teradata,…) Excellent written and verbal communication skills Innovative and assertive, with the ability to pick up new technologies Presence: enthusiastic and high energy, but also poised, confident and extremely professional Track record of delivering results in a dynamic start-up environment Experience working cross functionally, ideally with solution architects, technical writers, and support Strong sense of ownership and high attention to detail Candidates with degrees from fields such as Computer Science or Management Information Systems Comfortable with travel up to 75% of the time BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING: Experience with creating and delivering training programs to mass audiences Experience with other databases (e.g. Teradata, Netezza, Oracle, Redshift,…) Experience with non-relational platforms and tools for large-scale data processing (e.g. Hadoop, HBase,…) Familiarity and experience with common BI and data exploration tools (e.g. Microstrategy, Business Objects, Tableau,…) Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. Amazon AWS, Microsoft Azure,…) Experience with ETL pipelines tools Experience using AWS and Microsoft services Participated in Train the Trainer programs Proven success at enterprise software startups Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com Show more Show less

Diverse Lynx is looking for Datastage Developer to join our dynamic team and embark on a rewarding career journey Analyzing business requirements and translating them into technical specifications Designing and implementing data integration solutions using Datastage Extracting, transforming, and loading data from various sources into target systems Developing and testing complex data integration workflows, including the use of parallel processing and data quality checks Collaborating with database administrators, data architects, and stakeholders to ensure the accuracy and consistency of data Monitoring performance and optimizing Datastage jobs to ensure they run efficiently and meet SLAs Troubleshooting issues and resolving problems related to data integration Knowledge of data warehousing, data integration, and data processing concepts Strong problem-solving skills and the ability to think creatively and critically Excellent communication and collaboration skills, with the ability to work effectively with technical and non-technical stakeholders

- 5+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with SQL - Experience managing a data or BI team - Experience leading and influencing the data or BI strategy of your team or organization - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience hiring, developing and promoting engineering talent - Experience communicating to senior management and customers verbally and in writing We are seeking an ambitious Data Engineering Manager to join our Metrics and Data Platform team. The Metrics and Data Platform team plays a critical role in enabling Amazon Music’s business decisions and data-driven software development by collecting and providing behavioral and operational metrics to our internal teams. We maintain a scalable and robust data platform to support Amazon Music’s rapid growth, and collaborate closely with data producers and data consumers to accelerate innovation using data. As a Data Engineering Manager, you will manage a team of talented Data Engineers. Your team collects billions of events a day, manages petabyte-scale datasets on Redshift and S3, and develops data pipelines with Spark, SQL, EMR, and Airflow. You will collaborate with product and technical stakeholders to solve challenging data modeling, data availability, data quality, and data governance problems. At Amazon Music, engineering managers are the primary drivers of their team’s roadmap, priorities, and goals. You will be deeply involved in your team’s execution, helping to remove obstacles and accelerate progress. A successful candidate will be customer obsessed, highly analytical and detail oriented, able to work effectively in a data-heavy organization, and adept at leading across multiple different complex workstreams at once. Key job responsibilities - Hiring, motivating, mentoring, and growing a high-performing engineering team - Owning and managing big data pipelines, Amazon Music’s foundational datasets, and the quality and operational performance of the datasets - Collaborating with cross-functional teams and customers, including business analysts, marketing, product managers, technical program managers, and software engineers/managers - Defining and managing your team’s roadmap, priorities, and goals in partnership with Product, stakeholders, and leaders - Ensuring timely execution of team priorities and goals by proactively identifying risks and removing blockers - Recognizing and recommending process and engineering improvements that reduce failures and improve efficiency - Clearly communicating business updates, verbally and in writing, to both technical and non-technical stakeholders, peers, and leadership - Effectively influencing other team’s priorities and managing escalations - Owning and improving business and operational metrics of your team's software - Ensuring team compliance with policies (e.g., information security, data handling, service level agreements) - Identifying ways to leverage GenAI to reduce operational overhead and improve execution velocity - Introducing ideas to evolve and modernize our data model to address customer pain points and improve query performance About the team Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. Learn more at https://www.amazon.com/music. Experience with AWS Tools and Technologies (Redshift, S3, EC2) Experience in processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution) Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Job description, Hiring for ETL Informatica developer with experience range 5 years & above Mandatory Skills: ETL Informatica developer, Yellow brick/Netezza, unix shell scripting Education: BE/B.Tech/MCA/M.Tech/MSc./MS Responsibilities A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements. You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

At Sogeti, we believe the best is inside every one of us. Whether you are early in your career or at the top of your game, well encourage you to fulfill your potentialto be better. Through our shared passion for technology, our entrepreneurial culture , and our focus on continuous learning, well provide everything you need to doyour best work and become the best you can be. About The Role Hands on experience in Oracle DBA About The Role - Grade Specific Hands on experience in Oracle DBA Skills (competencies) Ab Initio Agile (Software Development Framework) Apache Hadoop AWS Airflow AWS Athena AWS Code Pipeline AWS EFS AWS EMR AWS Redshift AWS S3 Azure ADLS Gen2 Azure Data Factory Azure Data Lake Storage Azure Databricks Azure Event Hub Azure Stream Analytics Azure Sunapse Bitbucket Change Management Client Centricity Collaboration Continuous Integration and Continuous Delivery (CI/CD) Data Architecture Patterns Data Format Analysis Data Governance Data Modeling Data Validation Data Vault Modeling Database Schema Design Decision-Making DevOps Dimensional Modeling GCP Big Table GCP BigQuery GCP Cloud Storage GCP DataFlow GCP DataProc Git Google Big Tabel Google Data Proc Greenplum HQL IBM Data Stage IBM DB2 Industry Standard Data Modeling (FSLDM) Industry Standard Data Modeling (IBM FSDM)) Influencing Informatica IICS Inmon methodology JavaScript Jenkins Kimball Linux - Redhat Negotiation Netezza NewSQL Oracle Exadata Performance Tuning Perl Platform Update Management Project Management PySpark Python R RDD Optimization SantOs SaS Scala Spark Shell Script Snowflake SPARK SPARK Code Optimization SQL Stakeholder Management Sun Solaris Synapse Talend Teradata Time Management Ubuntu Vendor Management Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a localpartner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, andsmarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud andapplication development, all driven by AI, data and automation.

Job ID/Reference Code INFSYS-NAUKRI-210748 Work Experience 3-5 Job Title Netezza Developer Responsibilities A day in the life of an Infoscion As part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction. You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain. You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews. You will lead and guide your teams towards developing optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes. You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Technical and Professional Requirements: Netezza Developer Preferred Skills: Technology->Data Management - Data Store->Netezza Additional Responsibilities: Knowledge of more than one technology Basics of Architecture and Design fundamentals Knowledge of Testing tools Knowledge of agile methodologies Understanding of Project life cycle activities on development and maintenance projects Understanding of one or more Estimation methodologies, Knowledge of Quality processes Basics of business domain to understand the business requirements Analytical abilities, Strong Technical Skills, Good communication skills Good understanding of the technology and domain Ability to demonstrate a sound understanding of software quality assurance principles, SOLID design principles and modelling methods Awareness of latest technologies and trends Excellent problem solving, analytical and debugging skills Educational Requirements Bachelor of Engineering Service Line Data & Analytics Unit * Location of posting is subject to business requirements

Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets. Job Description - Grade Specific The involves leading and managing a team of data engineers, overseeing data engineering projects, ensuring technical excellence, and fostering collaboration with stakeholders. They play a critical role in driving the success of data engineering initiatives and ensuring the delivery of reliable and high-quality data solutions to support the organization's data-driven objectives. Skills (competencies) Ab Initio Agile (Software Development Framework) Apache Hadoop AWS Airflow AWS Athena AWS Code Pipeline AWS EFS AWS EMR AWS Redshift AWS S3 Azure ADLS Gen2 Azure Data Factory Azure Data Lake Storage Azure Databricks Azure Event Hub Azure Stream Analytics Azure Sunapse Bitbucket Change Management Client Centricity Collaboration Continuous Integration and Continuous Delivery (CI/CD) Data Architecture Patterns Data Format Analysis Data Governance Data Modeling Data Validation Data Vault Modeling Database Schema Design Decision-Making DevOps Dimensional Modeling GCP Big Table GCP BigQuery GCP Cloud Storage GCP DataFlow GCP DataProc Git Google Big Tabel Google Data Proc Greenplum HQL IBM Data Stage IBM DB2 Industry Standard Data Modeling (FSLDM) Industry Standard Data Modeling (IBM FSDM)) Influencing Informatica IICS Inmon methodology JavaScript Jenkins Kimball Linux - Redhat Negotiation Netezza NewSQL Oracle Exadata Performance Tuning Perl Platform Update Management Project Management PySpark Python R RDD Optimization SantOs SaS Scala Spark Shell Script Snowflake SPARK SPARK Code Optimization SQL Stakeholder Management Sun Solaris Synapse Talend Teradata Time Management Ubuntu Vendor Management

Location: Hyd/Chennai/Bglore Job Description: Informatica Dev: Having 7+yrs of relevant experience with strong in DW fundaments and Data Modelling concepts and Informatica suit Experience in Informatica PowerCenter, Workflow Manager and Workflow Designer Good knowledge on Data modelling concepts Good knowledge and experience in IICS Good knowledge and experience in Python Experience in Workflow Monitor, Repository Manager. Experience in Databases SQL Server/Oracle. Good knowledge on scheduling engines like Control M/ASG Zena Any experience on Netezza would be added advantage. Good in Performance Tuning related activities Good Analytical and trouble shooting skills Effective communication Skills(oral and written) Should have experience of 2 3 BI life cycle implementations