3315 Big Data Jobs - Page 39

About The Role Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : SAP ABAP Cloud Good to have skills : SAP HCM Personnel AdministrationMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems. Be involved in the end-to-end data management process. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Develop and maintain data pipelines- Ensure data quality and integrity- Implement ETL processes Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP HCM On Premise ABAP- Strong understanding of data management principles- Experience with SAP HCM Organizational Management- Knowledge of data modeling and database design- Proficient in SQL and database querying- Hands-on experience with data integration tools Additional Information:- The candidate should have a minimum of 5 years of experience in SAP HCM On Premise ABAP- This position is based at our Coimbatore office- A 15 years full-time education is required Qualification 15 years full time education

About The Role The Data Architecture Specialist Join our team of data architects who design and execute industry-relevant reinventions that allow organizations to realize exceptional business value from technology . Practice: Technology Strategy & Advisory, Capability Network I Areas of Work: Data Architecture | Level:Sr Manager | Location: Bangalore/Mumbai/Pune/Gurugram | Years of Exp: 15 to 21 years Explore an Exciting Career at Accenture Are you a problem solver and passionate about Tech-driven transformationDo you want to design, build and implement strategies to enhance business architecture performanceAre you passionate about being part of an inclusive, diverse and collaborative culture Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Technology Strategy & Advisory. The Practice- A Brief Sketch: The Technology Strategy & Advisory team helps clients achieve growth and efficiency through innovative R&D transformation, aimed at redefining business models using agile methodologies. As part of this high performing Technology Strategy and Advisory team, you will work closely with our clients to unlock the value of data, architecture, and AI to drive business agility and transformation to a real-time enterprise. As a leading Data Architecture Consulting professional, you will work on the following areas: Business Problem Data Analysis :Identifying, assessing, and solving complex business problems using in-depth evaluation of variable factors. Technology-driven journey intersection :Helping clients design, architect and scale their journey to new technology-driven growth. Architecture Transformation :Helping solve key business problems by enabling an architecture transformation, from the current state to a to-be enterprise environment. High Performance Growth and Innovation :Assisting our clients to build the required capabilities for growth and innovation to sustain high performance. Bring your best skills forward to excel at the role: Present data strate gy and develop technology solutions and value adding propositions to drive C-suite/senior leadership level discussions Capitalize on in-depth understanding of the latest technologies such as big data, data integration, data governance, data quality, cloud platforms, data modelling tools, data warehouse and hosting environments. Lead proof of concept and/or pilot implementations and defining the plan to scale implementations across multiple technology domains Maximize subject matter expertise on data-led projects and play a key role in pitches where data-based RFP responses are discussed Demonstrate ability to work creatively and analytically in a problem-solving environment. Use knowledge of key value drivers of a business , how they impact the scope and approach of the engagement. Develop client handling skills to develop, manage and deepen relationships with key stakeholders Leverage team building skills to collaborate, work and motivate teams with diverse skills and experience to achieve goals Build on leadership skills along with strong communication, problem solving, organizational and delegation skills to nurture and inspire team members Qualification Your experience counts! MBA from a tier 1 institute Your prior experience in one or more of the following is important Assessment of Information Strategy Maturity and evaluation of new IT potential with a focus on data monetization, platforms, customer 360 view and analytics strategy. Defining data-based strategy and establishing to-be Information Architecture landscape Design of cutting-edge solutions using cloud platforms like AWS, Azure, GCP, etc. and conceptualization of Data models Establish framework for effective Data Governance and define data ownership, standards, policies, and associated processes Product/ Framework/ Tools evaluation: Collaborating with business experts for business understanding, work with other consultants and platform engineers for solutions and with technology teams for prototyping and client implementations. Evaluate existing products and frameworks and develop options for proposed solutions. Practical industry expertise :The areas of Financial Services, Retail, Telecommunications, Life Sciences, Mining and Resources are of interest but experience in equivalent domains is also welcomed. Consultants should understand the key technology trends in their domain and the related business implications

About The Role Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : SAP ABAP Cloud Good to have skills : SAP HCM Personnel AdministrationMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems. Be involved in the end-to-end data management process. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Develop and maintain data pipelines.- Ensure data quality and integrity.- Implement ETL processes for data migration and deployment. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP HCM On Premise ABAP.- Good To Have Skills: Experience with SAP HCM Organizational Management.- Strong understanding of data management principles.- Experience in designing and implementing data solutions.- Proficient in ETL processes and data migration techniques. Additional Information:- The candidate should have a minimum of 5 years of experience in SAP HCM On Premise ABAP.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

About The Role Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Apache Spark Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure project milestones are met, facilitating discussions to address challenges, and guiding your team in implementing effective solutions. You will also engage in strategic planning sessions to align project goals with organizational objectives, ensuring that all stakeholders are informed and involved in the development process. Your role will require a balance of technical expertise and leadership skills to drive the project forward successfully. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and implement necessary adjustments to meet deadlines. Professional & Technical Skills: - Must To Have Skills: Proficiency in Apache Spark.- Strong understanding of distributed computing principles.- Experience with data processing frameworks and tools.- Familiarity with cloud platforms and services.- Ability to optimize application performance and scalability. Additional Information:- The candidate should have minimum 5 years of experience in Apache Spark.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

ODIN is a Data Warehouse application and it is changing its overall architecture and migrating to new efficient data model, Also few of the technical upgrade are due in this year. We are looking for the mid experience team member in the team, who can learn the BAU quickly and come up with fresh ideas in the team and contribute in designing and development of the statistical models. The team is in charge of the maintenance and the development of new features on 3 reporting applications as well as a Data Warehouse. These applications are designed to provide KPI and reports for back-office and valuation and risk control teams. Responsibilities Direct Responsibilities o Understand the need of Business/Operations teams, and propose indicators to meet the expectations. o Work on Big data environment. o Propose, when relevant, the architecture & flow of new applications that would help them integrate with existing ones and with the whole data architecture being developed o Develop, when relevant, different components of this architecture/flow of the applications. o Collect data from multiple various sources in ELK stack to calculate the new indicators. The indicators could be results from time series prediction, clustering, or other supervised or unsupervised machine learning algorithms o Automation of recurring actions and implementation of tools to facilitate the support and evolution of applications o Contribution to the evolution of the application architecture to improve the quality of service provided to users (Operations, Business) Contributing Responsibilities o Support and maintenance in operational condition of various applications focused on the collection and analysis of technical and functional data The technical environment consists of OS such as Windows, Linux Red Hat / Ubuntu, various technologies (Kafka, PostgreSQL, Hadoop, ELK, Qlik, API) and a DevOps part using Docker, Ansible, Kubernetes, Git, Jenkins and all of the Atlassian tools. Creation of processes to onboard new projects (Infrastructure and Business) Study and advice on the technological choice for evolutions and new projects Implementation and monitoring of action plans to avoid the recurrence of problems Technical and functional data analysis (Data Intelligence, Machine Learning, ) Technical & Behavioral Competencies Mandatory Technical expertise required: Oracle (+++) / T-SQL & PLSQL (+++) (preferably) - including optimization of stored procedures, queries, partitioning, local and global indexes, etc. Nice to have Technical skills: DWH Python Reporting tools and ETL ELK Stack Kibana ML Libraries Git and all of the Atlassian tools. Statistical/Machine Learning Modelling. Behavioral Skills Curiosity and analysis skills and willingness to learn. Good Communication skills. Quality-focused with a good eye for detail. Capacity to work in a high-pressure environment. Must be able to work closely with distributed team, users and business analysts. Willing to share knowledge and skills with other developers within the team. Whilst able to work independently, should be a true team player. Creativity and Problem solving attitude. Specific Qualifications (if required) Skills Referential Behavioural Skills : (Please select up to 4 skills) Decision Making Organizational skills Critical thinking Communication skills - oral & written Transversal Skills: Ability to understand, explain and support change Ability to develop and adapt a process Ability to develop others & improve their skills Analytical Ability Ability to inspire others & generate people's commitment Education Level: Bachelor Degree or equivalent Experience Level At least 3 years

About The Role Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : SAP HCM On Premise ABAP Good to have skills : SAP HCM Organizational ManagementMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions for data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems. You will play a crucial role in managing and analyzing data to support business decisions and drive data-driven insights. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Design, develop, and maintain data solutions for data generation, collection, and processing.- Create data pipelines to extract, transform, and load data across systems.- Ensure data quality and integrity throughout the data lifecycle.- Implement ETL processes to migrate and deploy data across systems. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP HCM On Premise ABAP.- Good To Have Skills: Experience with SAP HCM Organizational Management.- Strong understanding of data engineering principles and best practices.- Experience with data modeling and database design.- Hands-on experience with ETL tools and processes.- Proficient in programming languages such as ABAP, SQL, and Python. Additional Information:- The candidate should have a minimum of 5 years of experience in SAP HCM On Premise ABAP.- A 15 years full-time education is required. Qualification 15 years full time education

We are looking fora Golang Developer to Develop backend servicesin Go Language Write code to handle thescale of thousands of requests per second Following best practicesof XP/Agile like TDD, SOLID principles, pair programming, etc. Deal with cloud-nativeservices and Debug issues on a live setup Must haves 4 to 9 years Developmentand delivery experience with Go Hands-on experience indeveloping, testing and deploying large scale applications using Golang,Postgresql, Redis Good knowledge of RESTfulAPI web services and good experience with API Frameworks Familiarity with codeversioning tools(Git) Experience writingscalable solutions and having knowledge on big data tools like Kafka Great Object-Oriented andfunctional programming skills, including strong design pattern knowledge. Strong communication andclient-facing skills. Good to have Experience withMicroservices, Microservice Principles (Service discovery, API gateways etc)knowledge is a bonus. Familiarity with at leastone cloud service (Heroku/AWS/GCP/Azure) will be good to have. Experience with APIsecurity standards and implementation (OAuth)

Must have: 6-10years of experience indevelopment and delivery with Go Good knowledge of RESTfulAPI web services and good experience with API Frameworks Familiarity with codeversioning tools(Git) Experience writingscalable solutions and having knowledge on big data tools like Kafka Great Object-Oriented andfunctional programming skills, including strong design pattern knowledge Strong communication andclient-facing skills Good to have : Hands-on experiencedeveloping a Blockchain project Experience withMicroservices, knowledge of Microservice principles (Service discovery, APIgateways etc) Familiarity with at leastone cloud service (Heroku/AWS/GCP/Azure) Experience with APIsecurity standards and implementation (OAuth)

About The Role Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : PySpark Good to have skills : Python (Programming Language)Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure project milestones are met, facilitating discussions to address challenges, and guiding your team through the development process. You will also engage in strategic planning sessions to align project goals with organizational objectives, ensuring that the applications developed meet both user needs and technical specifications. Your role will require you to stay updated on industry trends and best practices to drive innovation within your team and the broader organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and implement necessary adjustments to meet deadlines. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark.- Good To Have Skills: Experience with Python (Programming Language).- Strong understanding of data processing frameworks and distributed computing.- Experience with data integration and ETL processes.- Familiarity with cloud platforms and services related to application development. Additional Information:- The candidate should have minimum 5 years of experience in PySpark.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Job Title Data Science/Data Engineering ML9 - Sales Excellence COE - Data Engineering Specialist Management Level :ML9 Location:Open Must have skills: strong GCP cloud technology experience, Big query, Data Science basics. Good to have skills: Build and maintain data models from different sources. Experience: Minimum 5 year(s) of experience is required Educational Qualification: Graduate/Post graduate Job Summary :The Center of Excellence (COE) makes sure that the sales and pricing methods and offerings of Sales Excellence are effective. The COE supports salespeople through its business partners and Analytics and Sales Operations teams. The Data Engineer helps manage data sources and environments, utilizing large data sets and maintaining their integrity to create models and apps that deliver insights to the organization. Roles & Responsibilities: Build and manage data models that bring together data from different sources. Understand the existing Data Model in SQL Server and help redesign/migrate in GCP Bigquery. Help consolidate and cleanse data for use by the modeling and development teams. Structure data for use in analytics applications. Lead a team of Data Engineers effectively. Professional & Technical Skills: A bachelors degree or equivalent A Minimum of2 years of strong GCP cloud technology experience A minimum of 2 years Advanced SQL knowledge and experience working with relational databases A minimum of 2 years Familiarity and hands on experience in different SQL objects like stored procedures, functions, views etc., A minimum of 2 years Building of data flow components and processing systems to extract, transform, load and integrate data from various sources. A basic knowledge of Data Science models and tools. Additional Information: Extra credit if you have: Understanding of sales processes and systems. Masters degree in a technical field. Experience with Python. Experience with quality assurance processes. Experience in project management. You May Also Need: Ability to work flexible hours according to business needs. Must have good internet connection and a distraction-free environment for working at home, in accordance with local guidelines. About Our Company | Accenture (do not remove the hyperlink)Qualification Experience: Minimum 5 year(s) of experience is required Educational Qualification: Graduate/Post graduate

About The Role Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : PySpark Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure project milestones are met, facilitating discussions to address challenges, and guiding your team in implementing effective solutions. You will also engage in strategic planning sessions to align project goals with organizational objectives, ensuring that all stakeholders are informed and involved in the development process. Your role will require a balance of technical expertise and leadership skills to drive the project forward successfully. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and implement necessary adjustments to meet deadlines. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark.- Good To Have Skills: Experience with Apache Hadoop.- Strong understanding of data processing frameworks.- Experience in building data pipelines and ETL processes.- Familiarity with cloud platforms such as AWS or Azure. Additional Information:- The candidate should have minimum 5 years of experience in PySpark.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and training sessions to enhance team capabilities.- Monitor and evaluate the performance of AI models and systems to ensure optimal functionality. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of various machine learning algorithms and their applications.- Experience with cloud-based AI services and deployment strategies.- Familiarity with programming languages such as Python or R for model development.- Knowledge of data preprocessing techniques and data pipeline management. Additional Information:- The candidate should have minimum 12 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

The Data Architect is to support the work for ensuring that systems are designed, upgraded, managed, de-commissioned and archived in compliance with data policy across the full data life cycle. This includes complying with the data strategy and undertaking the design of data models and supporting the management of metadata. The Data Architect mission will integrate a focus on GDPR law, with the contribution to the privacy impact assessment and Record of Process & Activities relating to personal Data. The scope is CIB EMEA and CIB ASIA Responsibilities Direct Responsibilities Engage with key business stakeholders to assist with establishing fundamental data governance processes Define key data quality metrics and indicators and facilitate the development and implementation of supporting standards Help to identify and deploy enterprise data best practices such as data scoping, metadata standardization, data lineage, data deduplication, mapping and transformation and business validation Structures the information in the Information System (any data modelling tool like Abacus), i.e. the way information is grouped, as well as the navigation methods and the terminology used within the Information Systems of the entity, as defined by the lead data architects. Creates and manages data models (Business Flows of Personal Data with process involved) in all their forms, including conceptual models, functional database designs, message models and others in compliance with the data framework policy Allows people to step logically through the Information System (be able to train them to use tools like Abacus) Contribute and enrich the Data Architecture framework through the material collected during analysis, projects and IT validations Update all records in Abacus collected from stakeholder interviews/ meetings. Skill Area Expected Communicating between the technical and the non-technical Is able to communicate effectively across organisational, technical and political boundaries, understanding the context. Makes complex and technical information and language simple and accessible for non- technical audiences. Is able to advocate and communicate what a team does to create trust and authenticity, and can respond to challenge. Able to effectively translate and accurately communicate across technical and non- technical stakeholders as well as facilitating discussions within a multidisciplinary team, with potentially difficult dynamics. Data Modelling (Business Flows of Data in Abacus) Produces data models and understands where to use different types of data models. Understands different tools and is able to compare between different data models. Able to reverse engineer a data model from a live system. Understands industry recognized data modelling patterns and standards. Understands the concepts and principles of data modelling and is able to produce, maintain and update relevant data models for specific business needs. Data Standards (Rules defined to manage/ maintain Data) Develops and sets data standards for an organisation. Communicates the business benefit of data standards, championing and governing those standards across the organisation. Develops data standards for a specific component. Analyses where data standards have been applied or breached and undertakes an impact analysis of that breach. Metadata Management Understands a variety of metadata management tools. Designs and maintains the appropriate metadata repositories to enable the organization to understand their data assets. Works with metadata repositories to complete and Maintains it to ensure information remains accurate and up to date. The objective is to manage own learning and contribute to domain knowledge building Turning business problems into data design Works with business and technology stakeholders to translate business problems into data designs. Creates optimal designs through iterative processes, aligning user needs with organisational objectives and system requirements. Designs data architecture by dealing with specific business problems and aligning it to enterprise-wide standards and principles. Works within the context of well understood architecture and identifies appropriate patterns. Contributing Responsibilities It is expected that the data architect applies knowledge and experience of the capability, including tools and technique and adopts those that are more appropriate for the environment. The Data Architect needs to have the knowledge of: The Functional & Application Architecture, Enterprise Architecture and Architecture rules and principles The activities Global Market and/or Global Banking Market meta-models, taxonomies and ontologies (such as FpML, CDM, ISO2022) Skill Area Expected Data Communication Uses the most appropriate medium to visualise data to tell compelling and actionable stories relevant for business goals. Presents, communicates and disseminates data appropriately and with high impact. Able to create basic visuals and presentations. Data Governance Understands data governance and how it works in relation to other organisational governance structures. Participates in or delivers the assurance of a service. Understands what data governance is required and contribute to these data governance. Data Innovation Recognises and exploits business opportunities to ensure more efficient and effective performance of organisations. Explores new ways of conducting business and organisational processes Aware of opportunities for innovation with new tools and uses of data Technical & Behavioral Competencies 1. Able to effectively translate and accurately communicate across technical and non- technical stakeholders as well as facilitating discussions within a multidisciplinary team, with potentially difficult dynamics. 2. Able to create basic visuals and presentations. 3. Experience in working with Enterprise Tools (like Abacus, informatica, big data, collibra, etc) 4. Experience in working with BI Tools (Like Power BI) 5. Good understanding of Excel (formulas and Functions) Specific Qualifications (if required) Preferred: BE/ BTech, BSc-IT, BSc-Comp, MSc-IT, MSc Comp, MCA Skills Referential Behavioural Skills : Communication skills - oral & written Ability to collaborate / Teamwork Ability to deliver / Results driven Creativity & Innovation / Problem solving Transversal Skills: Analytical Ability Ability to understand, explain and support change Ability to develop and adapt a process Ability to anticipate business / strategic evolution Choose an item. Education Level: Bachelor Degree or equivalent Experience Level At least 7 years Other/Specific Qualifications (if required) 1. Experience in GDPR (General Data Protection Regulation) or in Privacy by Design would be preferred 2. DAMA Certified

Responsibilities Direct Responsibilities Essential: High skills on SAN Storage technologies (VMAX/PMAX, Pure Storage, Brocade). High skills on NAS Storage technologies (NetApp, VNX). High Skills on S3 (Cleversafe and ECS). Overall Storage Experience 15+ years Team and collaborative mind-set to develop and deliver appropriate solutions skills. Experience of delivering strategic priorities within strict timelines. Customer service-oriented skills. Capacity to learn new technologies in an autonomous way. Contributing Responsibilities DEVOPS oriented: High development skills Scripting on Python / Bash / PowerShell, code versioning tools and CD/CI Desirable: Skills on EMC Unity. Big data knowledge: ELK and Distributed workload. Stateful Container and Kubernetes knowledge. Technical & Behavioral Competencies 1. Personal Attributes Eager to learn. Analytical mind-set. Ability to work well under pressure, ability to work autonomous and in team environment. Good interpersonal and communication skills. Curious and open mind person. Specific Qualifications (if required) Bachelors in computer science preferable but not mandatory. ITIL Foundation certificate will be desirable. LANGUAGES High English spoken and written fluent (B2/C). Mandatory . Skills Referential Behavioural Skills : Choose an item. Choose an item. Choose an item. Choose an item. Transversal Skills: Choose an item. Choose an item. Choose an item. Choose an item. Choose an item. Education Level: Choose an item. Experience Level Choose an item.

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Data Engineering Good to have skills : Python (Programming Language), Amazon Web Services (AWS)Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and enhancements to existing applications while keeping abreast of the latest technologies and methodologies in application development. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve application performance and user experience. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Engineering.- Good To Have Skills: Experience with Amazon Web Services (AWS), Python (Programming Language).- Strong understanding of data modeling and database design principles.- Experience with ETL processes and data pipeline development.- Familiarity with big data technologies and frameworks. Additional Information:- The candidate should have minimum 5 years of experience in Data Engineering.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : PySpark Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will oversee the development process and ensure successful project delivery. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work-related problems.- Lead the application development team in designing and building applications.- Act as the primary point of contact for project stakeholders.- Provide technical guidance and mentorship to team members.- Ensure timely delivery of high-quality software solutions.- Collaborate with cross-functional teams to drive project success. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark.- Strong understanding of big data processing and analysis.- Experience with distributed computing frameworks.- Hands-on experience in building scalable data pipelines.- Knowledge of cloud platforms for data processing. Additional Information:- The candidate should have a minimum of 3 years of experience in PySpark.- This position is based at our Hyderabad office.- A 15 years full-time education is required. Qualification 15 years full time education

About The Role Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Snowflake Data Warehouse, PySpark, Core Banking Good to have skills : AWS BigDataMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs, while also troubleshooting any issues that arise in the data processing workflow. Your role will be pivotal in enhancing the efficiency and reliability of data operations within the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in data engineering.- Continuously evaluate and improve data processing workflows to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse, Core Banking, PySpark.- Good To Have Skills: Experience with AWS BigData.- Strong understanding of data modeling and database design principles.- Experience with data integration tools and ETL processes.- Familiarity with cloud-based data solutions and architectures. Additional Information:- The candidate should have minimum 7.5 years of experience in Snowflake Data Warehouse.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Apache Spark Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. You will play a crucial role in developing innovative solutions to enhance business operations and efficiency. Roles & ResponsibilitiesExpected to perform independently and become an SMERequired active participation/contribution in team discussionsContribute in providing solutions to work-related problemsDevelop and implement software solutions to meet business requirementsCollaborate with team members to design and optimize applicationsTroubleshoot and debug applications to ensure optimal performanceStay updated on industry trends and technologies to enhance application development processesProvide technical guidance and support to junior team members Professional & Technical SkillsMust-Have SkillsProficiency in Apache SparkStrong understanding of big data processing and analyticsExperience with distributed computing frameworksHands-on experience in developing scalable applicationsKnowledge of cloud computing platformsMust-Have Additional SkillsPySparkSpark SQL / SQLAWS Additional InformationThe candidate should have a minimum of 3 years of experience in Apache SparkThis position is based at our Gurugram officeA 15 years full-time education is required Qualification 15 years full time education

We are looking forward to hire Data Modelling Professionals in the following areas : Experience 8-10 Years Creation of logical and physical data models along with accurate metadata for the Data warehousing Solutions Create conceptual data model to identify key business entities and visualize their relationships. Experience with Erwin or relevant data modelling tools to generate logical and phyiscal data models on Azure platform Perform data profiling/analysis activities that helps to establish, modify and maintain data model. Communicate physical database designs and dba and explains features that may affect the physical data model. Work closely with business and dev teams to translate the business/functional requirements into technical specifications that drive Big Data solutions to meet functional requirements. Present and communicate modeling results and recommendations to internal stakeholders. Ensure and enforce a governance process to oversee implementation activities and ensure alignment to the defined architecture. Regularly engage and consult stakeholders on solving business problems through data, guiding the conversation rather than following orders. Analyze data-related system integration challenges and propose appropriate solutions with strategic approach. Ensure compliance with data governance and security policies Collaborate internationally with various stakeholders. Engage with clients to clarify inbound research requests. Contribute to coordination and planning of Cloud Infrastructure related activities / outages Performance tuning using caches and parallel execution using bulk loading and dataflow execution Lead a team to deliver the expected business results Mentor Junior consultants in team and provide assistance in case needed Build, test, and maintain database pipeline architectures and collaborate with management to understand company objectives Ensure compliance with data governance and security policies Work closely with business and dev teams to translate the business/functional requirements into technical specifications that drive Big Data solutions to meet functional requirements. Must have one of the domain knowledge (Manufacturing, sales, supply chain, finance) Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. You will collaborate with teams to ensure successful project delivery and contribute to key decisions. Work on client projects to deliver AWS, PySpark, Databricks based Data engineering & Analytics solutions. Build and operate very large data warehouses or data lakes. ETL optimization, designing, coding, & tuning big data processes using Apache Spark. Build data pipelines & applications to stream and process datasets at low latencies. Show efficiency in handling data - tracking data lineage, ensuring data quality, and improving discoverability of data. Technical Experience:Minimum of 5 years of experience in Databricks engineering solutions on AWS Cloud platforms using PySpark, Databricks SQL, Data pipelines using Delta Lake.Minimum of 5 years of experience years of experience in ETL, Big Data/Hadoop and data warehouse architecture & delivery. Minimum of 2 years of experience years in real time streaming using Kafka/KinesisMinimum 4 year of Experience in one or more programming languages Python, Java, Scala.Experience using airflow for the data pipelines in min 1 project.1 years of experience developing CICD pipelines using GIT, Jenkins, Docker, Kubernetes, Shell Scripting, Terraform Educational Qualification:Bachelor of Engineering / Bachelor of Technology Additional Information:A Client facing skills:solid experience working in client facing environments, to be able to build trusted relationships with client stakeholders.Good critical thinking and problem-solving abilities Health care knowledge Good Communication Skills The candidate should have a minimum of 12 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Hyderabad office.- A 15 years full-time education is required. Qualification 15 years full time education

About The Role Skill required: Data Management - PySpark Designation: Data Eng, Mgmt & Governance Assoc Mgr Qualifications: BE/BTech Years of Experience: 10 to 14 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Visit us at www.accenture.com.Understand Pyspark interface and integration in handling complexities of multiprocessing, such as distributing the data, distributing code and collecting output from the workers on a cluster of machines. What are we looking for PySpark AWS Architecture Adaptable and flexible Strong analytical skills Prioritization of workload Ability to manage multiple stakeholders Problem-solving skills Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems Typically creates new solutions, leveraging and, where needed, adapting existing methods and procedures The person requires understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor or team leads Generally, interacts with peers and/or management levels at a client and/or within Accenture The person should require minimal guidance when determining methods and procedures on new assignments Decisions often impact the team in which they reside and occasionally impact other teams Individual would manage medium-small sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Qualification BE,BTech

About The Role Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Snowflake Data Warehouse, PySpark, Core Banking Good to have skills : AWS BigDataMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs, while also troubleshooting any issues that arise in the data processing workflow. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in data engineering.- Continuously evaluate and improve data processing workflows to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse, Core Banking, PySpark.- Good To Have Skills: Experience with AWS BigData.- Strong understanding of data modeling and database design principles.- Experience with data integration tools and ETL processes.- Familiarity with cloud-based data storage solutions and architectures. Additional Information:- The candidate should have minimum 5 years of experience in Snowflake Data Warehouse.- This position is based in Chennai.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Business and Integration Architect Project Role Description : Designs the integration strategy endpoints and data flow to align technology with business strategy and goals. Understands the entire project life-cycle, including requirements analysis, coding, testing, deployment, and operations to ensure successful integration. Must have skills : Oil and Gas Upstream Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Business and Integration Architect, you will be responsible for designing the integration strategy endpoints and data flow to align technology with business strategy and goals. Your typical day will involve collaborating with various teams to understand project requirements, analyzing data flows, and ensuring that the integration processes are efficient and effective. You will engage in discussions to align technology solutions with business objectives, ensuring that all aspects of the project life-cycle are considered for successful integration. Your role will also require you to stay updated on industry trends and best practices to continuously improve integration strategies. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate workshops and meetings to gather requirements and feedback from stakeholders.- Develop and maintain documentation related to integration strategies and processes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Oil and Gas Upstream.- Strong understanding of integration frameworks and methodologies.- Experience with data modeling and architecture design.- Ability to analyze complex business requirements and translate them into technical solutions.- Familiarity with project management tools and techniques. Additional Information:- The candidate should have minimum 7.5 years of experience in Oil and Gas Upstream.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Google Cloud Platform Architecture Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : Total 15 years of full time education Summary :As an AI/ML Architect, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying GenAI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities:- Design and develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist.- Design, develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services- Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing.- Ensure proper cloud or on-prem application pipeline with production-ready quality.- Collaborate with cross-functional teams to ensure successful implementation of AI/ML solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Cloud Machine Learning Services.- Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification.- Strong understanding of AI/ML algorithms and techniques.- Experience with deep learning, neural networks, chatbots, and image processing.- Experience with cloud data architecture solutions.- Experience with cloud or on-prem application pipeline with production-ready quality.- Experience with integrating multiple services such as NLP, voice recognition, and third party APIs. Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders. Additional Information:- The candidate should have a minimum of 17 years of experience in Google Cloud Machine Learning Services.- The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions.- This position is based at our Bengaluru office. Qualification Total 15 years of full time education

So, what’s the role all about? The Prompt Engineer optimizes prompts to generative AI models across NiCE's Illuminate applications. As part of the Illuminate Research team, the Prompt Engineer works with several groups in the business to help our applications deliver the highest quality customer experience. The Prompt Engineer partners with global development teams to help diagnose and resolve prompt-based issues. This includes helping to define and execute tests for LLM-based systems that are difficult to evaluate with traditional test automation tools. The Prompt Engineer also helps educate the development teams on advances in prompt engineering and helps update production prompts to evolving industry best practices. How will you make an impact? Regularly review production metrics and specific problem cases to find opportunities for improvement. Help diagnose and resolve issues with production prompts in English. Refine prompts to generative AI systems to achieve customer goals. Collect and present quantitative analysis on solution success. Work with application developers to implement new production monitoring tools and metrics. Work with architects and Product Managers to implement prompts to support new features. Meet regularly with teams working in United States Mountain and Pacific time zones (UTC-7:00 and UTC-8:00). Review new prompts and prompt changes with Machine Learning Engineers. Consult with Machine Learning Engineers for more challenging problems. Stay informed about new advances in prompt engineering. Have you got what it takes? Fluent in written and spoken English. BS in technology-related field such as computer science, business intelligence/analytics, or finance. 5- 7 years' work experience in a technology-related industry or position. Familiarity with best practices in prompt engineering, to include differences in prompts between major LLM vendors. Ability to develop and maintain good working relationships with cross-functional teams. Ability to clearly communicate and present to internal and external stakeholders. Experience with Python and at least one web app framework for prototyping, e.g., Streamlit or Flask. What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! Enjoy NiCE-FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 7815 Reporting into: Tech Manager Role Type: Individual Contributor