84 Netezza Jobs - Page 4

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers. Senior Data Engineer - Google Cloud  7+ years direct experience working in Enterprise Data Warehouse technologies.  7+ years in a customer facing role working with enterprise clients.  Experience with architecting, implementing and/or maintaining technical solutions in virtualized environments.  Experience in design, architecture and implementation of Data warehouses, data pipelines and flows.  Experience with developing software code in one or more languages such as Java, Python and SQL.  Experience designing and deploying large scale distributed data processing systems with few technologies such as Oracle, MS SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, HBase, Vertica, Netezza, Teradata, Tableau, Qlik or MicroStrategy.  Customer facing migration experience, including service discovery, assessment, planning, execution, and operations.  Demonstrated excellent communication, presentation, and problem-solving skills.  Experience in project governance and enterprise.  Mandatory Certifications Required Google Cloud Professional Cloud Architect Google Cloud Professional Data Engineer Mandatory skill sets-GCP Architecture/Data Engineering, SQL, Python Preferred Skill Sets-GCP Architecture/Data Engineering, SQL, Python Year of experience required-8-10 years Qualifications-B.E / B.TECH/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field Of Study Required Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Python (Programming Language) Optional Skills Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date Show more Show less

Introduction The Hybrid Data Management (HDM) team is looking for enthusiastic and talented software developers to join us. Our services include Db2 on Cloud, Db2 Warehouse on Cloud, Netezza on Cloud and Data Virtualization as a Service. Our services are tightly integrated with IBM Cloud Pak for Data where customers can access a suite of leading data and AI capabilities in a unified experience. Your Role And Responsibilities Software Developers at IBM are the backbone of our strategic initiatives to design, code, test, and provide industry-leading solutions that make the world run today - planes and trains take off on time, bank transactions complete in the blink of an eye and the world remains safe because of the work our software developers do. Whether you are working on projects internally or for a client, software development is critical to the success of IBM and our clients worldwide. At IBM, you will use the latest software development tools, techniques and approaches and work with leading minds in the industry to build solutions you can be proud of. Design, develop, test, operate and maintain database features in our products and services and tools to provide a secure environment for the product to be used by customers in the cloud. Evaluate new technologies and processes that enhance our service capabilities. Preferred Education Documenting and sharing your experience, mentoring others Bachelor's Degree Required Technical And Professional Expertise 5+ years of relevant experience in software development Strong software programming experience and skills in C/C++ or in equivalent programming language Strong knowledge of data structures, algorithms, object-oriented programming, and test-driven development. Expertise to best practices in design, development Strong problem determination and resolution skills Preferred Technical And Professional Experience Knowledge of Linux/UNIX Operating Systems Exposure to best practices in design, development and testing of software Working experience with SQL databases (Db2, PostgreSQL, MySQL, Oracle, SQL Server etc) Show more Show less

Entity: Technology Job Family Group: IT&S Group Job Description: Responsible for delivering business analysis and consulting activities for the defined specialism using sophisticated technical capabilities, building and maintaining effective working relationships with a range of customers, ensuring relevant standards are defined and maintained, and implementing process and system improvements to deliver business value. Specialisms: Business Analysis; Data Management and Data Science; Digital Innovation!!! Senior Data Engineer will work as part of an Agile software delivery team; typically delivering within an Agile Scrum framework. Duties will include attending daily scrums, sprint reviews, retrospectives, backlog prioritisation and improvements! Will coach, mentor and support the data engineering squad on the full range of data engineering and solutions development activities covering requirements gathering and analysis, solutions design, coding and development, testing, implementation and operational support. Will work closely with the Product Owner to understand requirements / user stories and have the ability to plan and estimate the time taken to deliver the user stories. Proactively collaborate with the Product Owner, Data Architects, Data Scientists, Business Analysts, and Visualisation developers to meet the acceptance criteria Will be very highly skilled and experienced in use of tools and techniques such as AWS Data Lake technologies, Redshift, Glue, Spark SQL, Athena Years of Experience: 13- 15 Essential domain expertise: Experience in Big Data Technologies – AWS, Redshift, Glue, Py-spark Experience of MPP (Massive Parallel Processing) databases helpful – e.g. Teradata, Netezza Challenges involved in Big Data – large table sizes (e.g. depth/width), even distribution of data Experience of programming- SQL, Python Data Modelling experience/awareness – Third Normal Form, Dimensional Modelling Data Pipelining skills – Data blending, etc Visualisation experience – Tableau, PBI, etc Data Management experience – e.g. Data Quality, Security, etc Experience of working in a cloud environment - AWS Development/Delivery methodologies – Agile, SDLC. Experience working in a geographically disparate team Travel Requirement Up to 10% travel should be expected with this role Relocation Assistance: This role is eligible for relocation within country Remote Type: This position is a hybrid of office/remote working Skills: Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks. Show more Show less

Senior Data Engineer will be Responsible for delivering business analysis and consulting activities for the defined specialism using sophisticated technical capabilities, building and maintaining effective working relationships with a range of customers, ensuring relevant standards are defined and maintained, and implementing process and system improvements to deliver business value. Specialisms: Business Analysis; Data Management and Data Science; Digital Innovation!!! Senior Data Engineer will work as part of an Agile software delivery team; typically delivering within an Agile Scrum framework. Duties will include attending daily scrums, sprint reviews, retrospectives, backlog prioritisation and improvements! Will coach, mentor and support the data engineering squad on the full range of data engineering and solutions development activities covering requirements gathering and analysis, solutions design, coding and development, testing, implementation and operational support. Will work closely with the Product Owner to understand requirements / user stories and have the ability to plan and estimate the time taken to deliver the user stories. Proactively collaborate with the Product Owner, Data Architects, Data Scientists, Business Analysts, and Visualisation developers to meet the acceptance criteria Will be very highly skilled and experienced in use of tools and techniques such as AWS Data Lake technologies, Redshift, Glue, Spark SQL, Athena Years of Experience: 8- 12 Essential domain expertise: Experience in Big Data Technologies – AWS, Redshift, Glue, Py-spark Experience of MPP (Massive Parallel Processing) databases helpful – e.g. Teradata, Netezza Challenges involved in Big Data – large table sizes (e.g. depth/width), even distribution of data Experience of programming- SQL, Python Data Modelling experience/awareness – Third Normal Form, Dimensional Modelling Data Pipelining skills – Data blending, etc Visualisation experience – Tableau, PBI, etc Data Management experience – e.g. Data Quality, Security, etc Experience of working in a cloud environment - AWS Development/Delivery methodologies – Agile, SDLC. Experience working in a geographically disparate team 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 Sr. Software Development Engineer (Hadoop / Python / SQL / Impala Dev) Overview Job Description Summary Mastercard is a technology company in the Global Payments Industry. We operate the world’s fastest payments processing network, connecting consumers, financial institutions, merchants, governments and businesses in more than 210 countries and territories. Mastercard products and solutions make everyday commerce activities – such as shopping, travelling, running a business and managing finances – easier, more secure and more efficient for everyone. Mastercard’s Data & Services team is a key differentiator for MasterCard, providing cutting-edge services that help our customers grow. Focused on thinking big and scaling fast around the globe, this dynamic team is responsible for end-to-end solutions for a diverse global customer base. Centered on data-driven technologies and innovation, these services include payments-focused consulting, loyalty and marketing programs, business experimentation, and data-driven information and risk management services. We are currently seeking a Software Development Engineer-II for Location Program within the Data & Services group. You will own end-to-end delivery of engineering projects for some of our analytics and BI solutions that leverage Mastercard dataset combined with proprietary analytics techniques, to help businesses around the world solve multi-million dollar business problems. Roles And Responsibilities Work as a member of support team to resolve issues related to product, should have good troubleshooting skills and good knowledge in support work. Independently apply problem solving skills to identify symptoms and root causes of issues. Make effective and efficient decisions even when data is ambiguous. Provide technical guidance, support and mentoring to more junior team members. Make active contributions to improvement decisions and make technology recommendations that balance business needs and technical requirements. Proactively understand stakeholder needs, goals, expectations and viewpoints, to deliver results. Ensure design thinking accounts for long term maintainability of code. Thrive in a highly collaborative company environment where agility is paramount. Stay up to date with latest technologies and technical advancements through self-study, blogs, meetups, conferences, etc. Perform system maintenance, production incident problem management, identification of root cause & issue remediation. All About You Bachelor's degree in Information Technology, Computer Science or Engineering or equivalent work experience, with a proven track-record of successfully delivering on complex technical assignments. A solid foundation in Computer Science fundamentals, web applications and microservices-based software architecture. Full-stack development experience, including , Databases (Oracle, Netezza, SQL Server), Hands-on experience with Hadoop, Python, Impala, etc,. Excellent SQL skills, with experience working with large and complex data sources and capability of comprehending and writing complex queries. Experience working in Agile teams and conversant with Agile/SAFe tenets and ceremonies. Strong analytical and problem-solving abilities, with quick adaptation to new technologies, methodologies, and systems. Excellent English communication skills (both written and verbal) to effectively interact with multiple technical teams and other stakeholders. High-energy, detail-oriented and proactive, with ability to function under pressure in an independent environment along with a high degree of initiative and self-motivation to drive results. 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-240980 Show more Show less

Job Description- Experience - 12 Years 16 Years Primary Skill - Delivery management with Data Warehouse background Notice Period - Immediate to 30 Days Work Location - Chennai, Noida & Bangalore Role & Responsibility- Required Skills 12+ Years of experience in managing delivery of Data Warehouse Projects (Development & Modernization/Migration). Strong Delivery background with experience in managing large complex Data Warehouse engagements. Good to have experience on Snowflake, Matillion, DBT, Netezza/DataStage and Oracle. Healthcare Payer Industry experience Extensive experience in Program/Project Management, Iterative, Waterfall and Agile Methodologies. Ability to track and manage complex program budgets Experience in managing the delivery of complex programs to meet the needs and the required timelines set for the defined programs. Communicate program review results to various stakeholders. Experience in building the team, providing guidance, and education as needed to ensure the success of priority programs and promote cross-training within the department. Experience in developing and managing an integrated program plans that incorporate both technical and business deliverables. Verify that critical decision gates are well defined, communicated and monitored for executive approval throughout the program. Verify that work supports the corporate strategic direction. Review resulting vendor proposals and estimates to ensure they satisfy both our functional requirements and technology strategies. Project management methodologies, processes, and tools. Knowledge of Project Development Life Cycle Establish and maintain strong working relationships with various stakeholders including team members, IT resources, resources in other areas of the business and upper management Ability to track and manage complex program budgets Strong business acumen and political savvy Ability to collaborate while dealing with complex situations Ability to think creatively and to drive innovation Ability to motivate, lead and inspire a diverse group to a common goal/solution with multiple stakeholders Ability to convert business strategy into action oriented objectives and measurable results Strong negotiating, influencing, and consensus-building skills Ability to mentor, coach and provide guidance to others Responsibilities: Responsible for the end to end delivery of the Application Development and Support services for the client Coordinate with Enterprise Program Management Office to execute programs following defined standards and governance structure to ensure alignment to the approved project development life cycle (PDLC). Interface regularly with key senior business leaders to enable a smooth transition from strategy development to program identification and execution. Facilitate meetings with task groups or functional areas as required for EPMO supported initiatives and/or to resolve issues. Proactively engage other members of the organization with specific subject knowledge to resolve issues or provide assistance. Lead post implementation review of major initiatives to provide lessons learned and continuous improvement. Develop accurate and timely summary report for executive management that provide consolidated, clear, and concise assessments of strategic initiatives implementation status. Collaborate with business owners to develop divisional business plans that support the overall strategic direction. Supports budget allocation process through ongoing financial tracking reports. Develop & maintain service plans considering the customer requirements. Track and monitor to ensure the adherence to SLA/KPIs Identify opportunities for improvement to service delivery process. Address service delivery issues/escalations/complaints. First point of escalation for customer escalations Oversee shift management for various tracks. Responsible for publishing production support reports & metrics

- 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 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

Entity: Technology Job Family Group: IT&S Group Job Description: Responsible for delivering business analysis and consulting activities for the defined specialism using sophisticated technical capabilities, building and maintaining effective working relationships with a range of customers, ensuring relevant standards are defined and maintained, and implementing process and system improvements to deliver business value. Specialisms: Business Analysis; Data Management and Data Science; Digital Innovation!!! Senior Data Engineer will work as part of an Agile software delivery team; typically delivering within an Agile Scrum framework. Duties will include attending daily scrums, sprint reviews, retrospectives, backlog prioritisation and improvements! Will coach, mentor and support the data engineering squad on the full range of data engineering and solutions development activities covering requirements gathering and analysis, solutions design, coding and development, testing, implementation and operational support. Will work closely with the Product Owner to understand requirements / user stories and have the ability to plan and estimate the time taken to deliver the user stories. Proactively collaborate with the Product Owner, Data Architects, Data Scientists, Business Analysts, and Visualisation developers to meet the acceptance criteria Will be very highly skilled and experienced in use of tools and techniques such as AWS Data Lake technologies, Redshift, Glue, Spark SQL, Athena Years of Experience: 13- 15 Essential domain expertise: Experience in Big Data Technologies – AWS, Redshift, Glue, Py-spark Experience of MPP (Massive Parallel Processing) databases helpful – e.g. Teradata, Netezza Challenges involved in Big Data – large table sizes (e.g. depth/width), even distribution of data Experience of programming- SQL, Python Data Modelling experience/awareness – Third Normal Form, Dimensional Modelling Data Pipelining skills – Data blending, etc Visualisation experience – Tableau, PBI, etc Data Management experience – e.g. Data Quality, Security, etc Experience of working in a cloud environment - AWS Development/Delivery methodologies – Agile, SDLC. Experience working in a geographically disparate team Travel Requirement Up to 10% travel should be expected with this role Relocation Assistance: This role is eligible for relocation within country Remote Type: This position is a hybrid of office/remote working Skills: Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.