905 Data Flow Jobs - Page 5

Roles and Responsibilities Design, develop, and maintain large-scale data pipelines using BigQuery, Data Flow, Dataproc, Airflow on Google Cloud Platform (GCP). Collaborate with cross-functional teams to identify business requirements and design solutions that meet those needs. Develop complex SQL queries to extract insights from massive datasets stored in BigQuery. Troubleshoot issues related to pipeline failures or errors in the data processing workflow. Ensure compliance with security standards by implementing proper access controls and encryption mechanisms.

As a Senior Data Architect, you will be instrumental in shaping the banks enterprise data landscapesupporting teams in designing, evolving, and implementing data architectures that align with the enterprise target state and enable scalable, compliant, and interoperable solutions. You will also serve as the go-to expert and trusted advisor on what good looks like in data architecture, helping to set high standards and drive continuous improvement across the organization. This role is ideal for an experienced data professional with deep technical expertise, strong solution architecture skills, and a proven ability to influence design decisions across both business and technology teams. Responsibilities 1. Enterprise Data Architecture & Solution Design Support teams in designing, evolving, and implementing data architectures that align with the enterprise target state and enable scalable, compliant, and interoperable solutions. Serve as the go-to person for data architecture best practices and standards, helping to define and communicate what good looks like to ensure consistency and quality. Lead and contribute to solution architecture for key programs, ensuring architectural decisions are well-documented, justified, and aligned to enterprise principles. Work with engineering and platform teams to design end-to-end data flows, integration patterns, data processing pipelines, and storage strategies across structured and unstructured data. Drive the application of modern data architecture principles including event-driven architecture, data mesh, streaming, and decoupled data services. 2. Data Modelling and Semantics Provide hands-on leadership in data modelling efforts, including the occasional creation and stewardship of conceptual, logical, and physical models that support enterprise data domains. Partner with product and engineering teams to ensure data models are fit-for-purpose, extensible, and aligned with enterprise vocabularies and semantics. Support modelling use cases across regulatory, operational, and analytical data assets. 3. Architecture Standards & Frameworks Define and continuously improve data architecture standards, patterns, and reference architectures that support consistency and interoperability across platforms. Embed standards into engineering workflows and tooling to encourage automation and reduce delivery friction. Measure and report on adoption of architectural principles using architecture KPIs and compliance metrics. 4. Leadership, Collaboration & Strategy Act as a technical advisor and architectural leader across initiatives mentoring junior architects and supporting federated architecture teams in delivery. Build strong partnerships with senior stakeholders across the business, CDIO, engineering, and infrastructure teams to ensure alignment and adoption of architecture strategy. Stay current with industry trends, regulatory changes, and emerging technologies, advising on their potential impact and application. Skills Extensive experience in data architecture, data engineering, or enterprise architecture, preferably within a global financial institution. Deep understanding of data platforms, integration technologies, and architectural patterns for real-time and batch processing. Proficiency with data architecture tools such as Sparx Enterprise Architect, ERwin, or similar. Experience designing solutions in cloud and hybrid environments (e.g. GCP, AWS, or Azure), with knowledge of associated data services. Hands-on experience with data modelling, semantic layer design, and metadata-driven architecture approaches. Strong grasp of data governance, privacy, security, and regulatory complianceespecially as they intersect with architectural decision-making. Strategic mindset, with the ability to connect architectural goals to business value, and communicate effectively with technical and non-technical stakeholders. Experience working across business domains including Risk, Finance, Treasury, or Front Office functions. Well-being & Benefits Emotionally and mentally balanced: we support you in dealing with life crises, maintaining stability through illness, and maintaining good mental health Empowering managers who value your ideas and decisions. Show your positive attitude, determination, and open-mindedness. A professional, passionate, and fun workplace with flexible Work from Home options. A modern office with fun and relaxing areas to boost creativity. Continuous learning culture with coaching and support from team experts. Physically thriving we support you managing your physical health by taking appropriate preventive measures and providing a workplace that helps you thrive Private healthcare and life insurance with premium benefits for you and discounts for your loved ones. Socially connected: we strongly believe in collaboration, inclusion and feeling connected to open up new perspectives and strengthen our self-confidence and wellbeing. Kids@TheOffice - support for unexpected events requiring you to care for your kids during work hours. Enjoy retailer discounts, cultural and CSR activities, employee sport clubs, workshops, and more. Financially secure: : we support you to meet personal financial goals during your active career and for the future Competitive income, performance-based promotions, and a sense of purpose. 24 days holiday, loyalty days, and bank holidays (including weekdays for weekend bank holidays).

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 : 15 years full time education Summary :As a Data Architect, you will design and deliver end-to-end data architecture solutions for platforms, products, or engagements on Google Cloud. You will define architectures that meet performance, scalability, security, and compliance requirements while ensuring data integrity and accessibility. You will be responsible for the successful implementation of data solutions that align with business strategy. Roles & Responsibilities:Expected to be a Subject Matter Expert (SME) with deep expertise in Google Cloud data architecture.Provide strategic guidance, influencing architectural decisions across multiple teams.Collaborate with stakeholders to define data strategies, roadmaps, and governance models.Design enterprise-grade data architectures supporting analytics, AI/ML, and operational workloads.Ensure solutions adhere to best practices for security, performance, and cost optimization.Lead the implementation of data architecture frameworks and reference models.Guide teams on data migration, integration, and modernization initiatives. Professional & Technical Skills: Must To Have Skills: Expertise in Google Cloud data services (BigQuery, Cloud Storage, Pub/Sub, Dataflow, Dataproc, etc.).Strong knowledge of data architecture principles, data modeling, and data governance.Proven experience in designing scalable, high-performance, and secure cloud-based data platforms.Hands-on experience with data ingestion, ETL/ELT, streaming, and batch processing.Familiarity with compliance frameworks and data security best practices in cloud environments. Additional Information:The candidate should have a minimum of 16 years of experience in data architecture, with a strong focus on Google Cloud.This position is based Pan India 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 : Microsoft Azure Analytics Services Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Architect, you will define the data requirements and structure for the application. Your typical day will involve modeling and designing the application data structure, storage, and integration, ensuring that the architecture aligns with business needs and technical specifications. You will collaborate with various teams to ensure that data flows seamlessly and efficiently throughout the organization, while also addressing any challenges that arise in the data management process. Your role will be pivotal in shaping the data landscape of the organization, enabling informed decision-making and strategic planning. Roles & Responsibilities:A.Function as the Lead Data Architect for a small, simple project/proposal or as a team lead for medium/large sized project or proposalB.Discuss specific Big data architecture and related issues with client architect/team (in area of expertise)C.Analyze and assess the impact of the requirements on the data and its lifecycleD.Lead Big data architecture and design medium-big Cloud based, Big Data and Analytical Solutions using Lambda architecture.E.Breadth of experience in various client scenarios and situationsF.Experienced in Big Data Architecture-based sales and deliveryG.Thought leadership and innovationH.Lead creation of new data assets & offeringsI.Experience in handling OLTP and OLAP data workloads Professional & Technical Skills: A.Strong experience in Azure is preferred with hands-on experience in two or more of these skills :Azure Synapse Analytics, Azure HDInsight, Azure Databricks with PySpark / Scala / SparkSQL, Azure Analysis ServicesB.Experience in one or more Real-time/Streaming technologies including:Azure Stream Analytics, Azure Data Explorer, Azure Time Series Insights, etc.C.Experience in handling medium to large Big Data implementationsD.Candidate must have around 5 years of extensive Big data experienceE.Candidate must have 15 years of IT experience and around 5 years of extensive Big data experience (design + build) Additional Information:A.Should be able to drive the technology design meetings, propose technology design and architecture B.Should have excellent client communication skillsC.Should have good analytical and problem-solving skills 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 : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 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 effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs, while also troubleshooting any issues that arise in the data flow. 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 processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Good To Have Skills: Experience with Apache Spark and data warehousing solutions.- Strong understanding of data modeling and database design principles.- Experience with cloud platforms such as AWS, Azure, or Google Cloud.- Familiarity with programming languages such as Python or Scala for data manipulation. Additional Information:- The candidate should have minimum 7.5 years of experience in Databricks Unified Data Analytics Platform.- This position is based in Hyderabad.- 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 Good to have skills : NAMinimum 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 flow and processing. 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 processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.- Good To Have Skills: Experience with data modeling and database design.- Strong understanding of ETL processes and data integration techniques.- Familiarity with cloud platforms such as AWS or Azure.- Experience with SQL and data querying languages. 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 : 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 : Microsoft Azure Analytics Services Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Architect, you will define the data requirements and structure for the application. Your typical day will involve modeling and designing the application data structure, storage, and integration, ensuring that the architecture aligns with business needs and technical specifications. You will collaborate with various teams to ensure that data flows seamlessly and efficiently throughout the organization, while also addressing any challenges that arise in the data management process. Your role will be pivotal in shaping the data landscape of the organization, enabling informed decision-making and strategic planning. Roles & Responsibilities:A.Function as the Lead Data Architect for a small, simple project/proposal or as a team lead for medium/large sized project or proposalB.Discuss specific Big data architecture and related issues with client architect/team (in area of expertise)C.Analyze and assess the impact of the requirements on the data and its lifecycleD.Lead Big data architecture and design medium-big Cloud based, Big Data and Analytical Solutions using Lambda architecture.E.Breadth of experience in various client scenarios and situationsF.Experienced in Big Data Architecture-based sales and deliveryG.Thought leadership and innovationH.Lead creation of new data assets & offeringsI.Experience in handling OLTP and OLAP data workloads Professional & Technical Skills: A.Strong experience in Azure is preferred with hands-on experience in two or more of these skills :Azure Synapse Analytics, Azure HDInsight, Azure Databricks with PySpark / Scala / SparkSQL, Azure Analysis ServicesB.Experience in one or more Real-time/Streaming technologies including:Azure Stream Analytics, Azure Data Explorer, Azure Time Series Insights, etc.C.Experience in handling medium to large Big Data implementationsD.Candidate must have around 5 years of extensive Big data experienceE.Candidate must have 15 years of IT experience and around 5 years of extensive Big data experience (design + build) Additional Information:A.Should be able to drive the technology design meetings, propose technology design and architecture B.Should have excellent client communication skillsC.Should have good analytical and problem-solving skills Qualification 15 years full time education

Overview Mastercard Data Warehouse builds and supports various analytics and reporting platform that includes Domo, Power BI, Tableau, SSRS and WebFOCUS. The ecosystem also includes Microsoft BI stack involving SSAS & SSIS and Alteryx ETL tool. Role Work with cross-functional agile teams that include Front-end Developers, Report/BI Developers and Product Owners to implement the next generation of enterprise application Identify and resolve performance bottlenecks proactively Work with the customer support group as needed to resolve performance issues in the field Explore automation opportunity and develop tools to automate some of the day to day operations tasks Provide performance metrics and maintain dashboards to reflect production systems health Conceptualize and implement proactive monitoring where possible to catch issues early Experiment with new tools to streamline the development, testing and prod deployment Help the team improve with the usage of BI Applications best practices. Collaborate with other BI teams to improve the BI ecosystem and talent within Mastercard. Creatively solve problems when facing constraints, whether it is the number of developers, quality or quantity of data, compute power, storage capacity or just time. Maintain awareness of relevant technical and product trends through self-learning/study, training classes and job shadowing All About You 7-10 years of experience in Data Warehouse related projects in product or service-based organization Experience in MSBI stack - SSIS, SSAS and SSRS Experience of working with Databases like Oracle, Netezza and have strong SQL knowledge Experience of working on data pipeline tools like Alteryx, NiFi and real time data flow system like Kafka Experience of working on automation in data flow process in a Big Data environment, leveraging tools like Airflow. Experience of working in data analytics platforms like Cloud, Snowflake, visualization tools will be 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 multi-task across multiple projects, interface with external internal resources and provide technical leadership to junior team members 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

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 : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 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 effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs, while also troubleshooting any issues that arise in the data flow. 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 processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Good To Have Skills: Experience with Apache Spark and data warehousing solutions.- Strong understanding of data modeling and database design principles.- Experience with cloud platforms such as AWS, Azure, or Google Cloud.- Familiarity with programming languages such as Python or Scala for data manipulation. Additional Information:- The candidate should have minimum 7.5 years of experience in Databricks Unified Data Analytics Platform.- This position is based in Hyderabad.- 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 : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 3 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 effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs, while also troubleshooting any issues that arise in the data flow. 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 processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Good To Have Skills: Experience with Apache Spark and data warehousing solutions.- Strong understanding of data modeling and database design principles.- Experience with cloud platforms such as AWS, Azure, or Google Cloud.- Familiarity with programming languages such as Python or Scala for data manipulation. Additional Information:- The candidate should have minimum 7.5 years of experience in Databricks Unified Data Analytics Platform.- This position is based in Hyderabad.- 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 : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 3 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 effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs, while also troubleshooting any issues that arise in the data flow. 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 processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Good To Have Skills: Experience with Apache Spark and data warehousing solutions.- Strong understanding of data modeling and database design principles.- Experience with cloud platforms such as AWS, Azure, or Google Cloud.- Familiarity with programming languages such as Python or Scala for data manipulation. Additional Information:- The candidate should have minimum 7.5 years of experience in Databricks Unified Data Analytics Platform.- This position is based in Hyderabad.- A 15 years full time education is required. Qualification 15 years full time education

Role Description Our team is part of the area Technology, Data, and Innovation (TDI) Private Bank. Within TDI, Partner data is the central client reference data system in Germany. As a core banking system, many banking processes and applications are integrated and communicate via >2k interfaces. From a technical perspective, we focus on mainframe but also build solutions on premise cloud, restful services, and an angular frontend. Next to the maintenance and the implementation of new CTB requirements, the content focus also lies on the regulatory and tax topics surrounding a partner/ client. We are looking for a very motivated candidate for the Cloud Data Engineer area. Your key responsibilities You are responsible for the implementation of the new project on GCP (Spark, Dataproc, Dataflow, BigQuery, Terraform etc) in the whole SDLC chain You are responsible for the support of the migration of current functionalities to Google Cloud You are responsible for the stability of the application landscape and support software releases You also support in L3 topics and application governance You are responsible in the CTM area for coding as part of an agile team (Java, Scala, Spring Boot) Your skills and experience You have experience with databases (BigQuery, Cloud SQl, No Sql, Hive etc.) and development preferably for Big Data and GCP technologies Strong understanding of Data Mesh Approach and integration patterns Understanding of Party data and integration with Product data Your architectural skills for big data solutions, especially interface architecture allows a fast start You have experience in at least: Spark, Java ,Scala and Python, Maven, Artifactory, Hadoop Ecosystem, Github Actions, GitHub, Terraform scripting You have knowledge in customer reference data, customer opening processes and preferably regulatory topics around know your customer processes You can work very well in teams but also independent and are constructive and target oriented Your English skills are good and you can both communicate professionally but also informally in small talks with the team

Role Description Our team is part of the area Technology, Data, and Innovation (TDI) Private Bank. Within TDI, Partner data is the central client reference data system in Germany. As a core banking system, many banking processes and applications are integrated and communicate via >2k interfaces. From a technical perspective, we focus on mainframe but also build solutions on premise cloud, restful services, and an angular frontend. Next to the maintenance and the implementation of new CTB requirements, the content focus also lies on the regulatory and tax topics surrounding a partner/ client. We are looking for a very motivated candidate for the Big Data and Google Cloud area. Your key responsibilities You are responsible for the implementation of the new project on GCP (Spark, Dataproc, Dataflow, BigQuery, Terraform etc) in the whole SDLC chain You are responsible for the support of the migration of current functionalities to Google Cloud You are responsible for the stability of the application landscape and support software releases You also support in L3 topics and application governance You are responsible in the CTM area for coding as part of an agile team (Java, Scala, Spring Boot) Your skills and experience You have experience with databases (HDFS, BigQuery, etc.) and development preferably for Big Data and GCP technologies Strong understanding of Data Mesh Approach and integration patterns Understanding of Party data and integration with Product data Your architectural skills for big data solutions, especially interface architecture allows a fast start You have experience in at least: Spark, Java ,Scala and Python, Maven, Artifactory, Hadoop Ecosystem, Github Actions, GitHub, Terraform scripting You have knowledge in customer reference data, customer opening processes and preferably regulatory topics around know your customer processes You can work very well in teams but also independent and are constructive and target oriented Your English skills are good and you can both communicate professionally but also informally in small talks with the team

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 : Informatica Product 360 (PIM) Good to have skills : NAMinimum 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 flow and processing stages. Your role will be pivotal in enhancing the overall data architecture and ensuring that data is accessible and reliable for decision-making purposes. 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 practices.- Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Informatica Product 360 (PIM).- Strong understanding of data modeling and database design principles.- Experience with data integration and ETL tools.- Familiarity with cloud data platforms and services.- Knowledge of data governance and data quality best practices. Additional Information:- The candidate should have minimum 5 years of experience in Informatica Product 360 (PIM).- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Software Development Lead Project Role Description : Develop and configure software systems either end-to-end or for a specific stage of product lifecycle. Apply knowledge of technologies, applications, methodologies, processes and tools to support a client, project or entity. Must have skills : Manufacturing Engineering MES Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Lead, you will be responsible for developing and configuring software systems, either end-to-end or for specific stages of the product lifecycle. Your typical day will involve collaborating with various teams to ensure that the software meets the required specifications and quality standards. You will apply your knowledge of technologies and methodologies to support projects effectively, ensuring that all aspects of the software development process are executed smoothly and efficiently. Engaging with stakeholders, you will gather requirements and provide insights that drive the project forward, while also mentoring team members to enhance their skills and performance. 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 ensure timely delivery of milestones. Professional & Technical Skills: - Must To Have Skills: Proficiency in Manufacturing Engineering MES.- Good To Have Skills: Experience with software development methodologies such as Agile or Scrum.- Strong understanding of system integration and data flow within manufacturing environments.- Experience with programming languages relevant to MES development.- Familiarity with database management systems and data analytics tools. Additional Information:- The candidate should have minimum 7.5 years of experience in Manufacturing Engineering MES.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

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 : Data & AI Strategy Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Architect, you will define the data requirements and structure for the application. Your typical day will involve modeling and designing the application data structure, storage, and integration, ensuring that the data architecture aligns with the overall business strategy and meets the needs of various stakeholders. You will collaborate with cross-functional teams to gather requirements, analyze data flows, and implement best practices in data management, all while maintaining a focus on scalability and performance. 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 workshops and discussions to gather insights and feedback from stakeholders.- Mentor junior professionals in data architecture best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data & AI Strategy.- Strong understanding of data modeling techniques and methodologies.- Experience with data integration tools and technologies.- Familiarity with cloud-based data storage solutions.- Ability to design and implement data governance frameworks. Additional Information:- The candidate should have minimum 12 years of experience in Data & AI Strategy.- This position is based at our Gurugram office.- A 15 years full time education is required. Qualification 15 years full time education

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 : Data & AI Strategy Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Architect, you will define the data requirements and structure for the application. Your typical day will involve modeling and designing the application data structure, storage, and integration, ensuring that the data architecture aligns with the overall business strategy and meets the needs of various stakeholders. You will collaborate with cross-functional teams to gather requirements, analyze data flows, and implement best practices in data management, all while maintaining a focus on scalability and performance. Your role will be pivotal in shaping the data landscape of the organization, driving innovation, and enabling data-driven decision-making across the enterprise. 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 mentoring within the team to enhance overall capabilities.- Develop and maintain documentation related to data architecture and design principles. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data & AI Strategy.- Strong understanding of data modeling techniques and best practices.- Experience with data integration tools and methodologies.- Familiarity with cloud-based data storage solutions and architectures.- Ability to analyze complex data sets and derive actionable insights. Additional Information:- The candidate should have minimum 12 years of experience in Data & AI Strategy.- This position is based at our Gurugram office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : SAP Quality Management (QM) Good to have skills : SAP HANA DB AdministrationMinimum 12 year(s) of experience is required Educational Qualification : Should have completed Graduation from reputed College University Summary :As a Technology Architect, you will design and deliver technology architecture for various platforms, products, or engagements. Your typical day will involve collaborating with cross-functional teams to define solutions that meet performance, capability, and scalability needs. You will engage in discussions to ensure that the architecture aligns with business objectives and technical requirements, while also addressing any challenges that arise during the development process. Your role will require you to stay updated with the latest technology trends and best practices to ensure that the solutions you propose are innovative and effective. 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 sessions to enhance team capabilities.- Monitor and evaluate the effectiveness of implemented solutions and make necessary adjustments. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Quality Management (QM).- Strong understanding of technology architecture principles and frameworks.- Experience with system integration and data flow management.- Ability to analyze and optimize system performance.- Familiarity with cloud computing concepts and services. Additional Information:- The candidate should have minimum 12 years of experience in SAP Quality Management (QM).- This position is based at our Gurugram office.- Should have completed Graduation from reputed College University. Qualification Should have completed Graduation from reputed College University

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 : SAP EWM Good to have skills : NAMinimum 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 their needs, analyzing project requirements, and ensuring that the integration processes are seamless and efficient. You will engage in discussions to refine strategies, oversee the implementation of solutions, and monitor the overall project lifecycle to ensure that all aspects from coding to deployment are executed effectively. Your role will also require you to stay updated with the latest technologies and methodologies to enhance integration practices and drive business success. 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 ensure alignment with business objectives. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP EWM.- Strong understanding of integration strategies and data flow management.- Experience with project lifecycle management, including requirements analysis and deployment.- Ability to analyze complex business requirements and translate them into technical solutions.- Familiarity with various integration tools and technologies. Additional Information:- The candidate should have minimum 5 years of experience in SAP EWM.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Google BigQuery Good to have skills : React.js, Cloud Network OperationsMinimum 3 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. Your typical day will involve collaborating with team members to develop innovative solutions and ensure seamless application functionality. 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.- Develop and implement scalable applications using Google BigQuery.- Collaborate with cross-functional teams to ensure application functionality.- Conduct code reviews and provide technical guidance to junior developers.- Stay updated on industry trends and best practices in application development.- Troubleshoot and resolve application issues in a timely manner. Professional & Technical Skills: (Project specific)- BQ, BQ Geospatial, Python, Dataflow, Composer ,- Secondary skill -Geospatial Domain Knowledge"- Must To Have Skills: Proficiency in Google BigQuery.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 3 years of experience in Google BigQuery.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

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 : Google BigQuery Good to have skills : Microsoft SQL Server, Google Cloud Data ServicesMinimum 3 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 flow and processing stages. Your role will be pivotal in enhancing the overall data infrastructure and ensuring that data is accessible and reliable for decision-making purposes. Project Role :Analytics and Modelor Project Role Description :Analyze and model client, market and key performance data. Use analytical tools and techniques to develop business insights and improve decision-making. Must have Skills :Google BigQuery, SSI:NON SSI:Good to Have Skills :SSI:No Technology Specialization NON SSI :Job :Key Responsibilities :Data Proc, Pub,Sub, Data flow, Kalka Streaming, Looker, SQL (No FLEX)1:Proven track record of delivering data integration, data warehousing soln2:Strong SQL And Hands-on (No FLEX)2:Exp with data integration and migration projects 3:Proficient in BigQuery SQL language (No FLEX)4:understanding on cloud native services :bucket storage, GBQ, cloud function, pub sub, composer, and KubernetesExp in cloud solutions, mainly data platform services , GCP Certifications 5:Exp in Shell Scripting, Python (NO FLEX), Oracle, SQL Technical Experience :1:Expert in Python (NO FLEX). Strong hands-on and strong knowledge in SQL(NO FLEX), Python programming using Pandas, NumPy, deep understanding of various data structure dictionary, array, list, tree etc, experiences in pytest, code coverage skills are preferred2:Strong hands-on experience with building solutions using cloud native services:bucket storage, Big Query, cloud function, pub sub, composer, and Kubernetes etc. (NO FLEX)3:Proficiency with tools to automate AZDO CI CD pipelines like Control-M , GitHub, JIRA, confluence , CI CD Pipeline4:Open mindset, ability to quickly adapt new technologies5:Performance tuning of BigQuery SQL scripts6:GCP Certified preferred7:Working in agile environment Professional Attributes :1:Must have good communication skills 2:Must have ability to collaborate with different teams and suggest solutions 3:Ability to work independently with little supervision or as a team 4:Good analytical problem solving skills 5:Good team handling skills Educational Qualification:15 years of Full time education Qualification 15 years full time education

JOB DESCRIPTION POSITION NAME Business Analyst DESIGNATION Senior Manager / Chief Manager POSITION GRADE L4 / L5 DEPARTMENT New Business SUB DEPARTMENT New Business Projects REPORTING POSITION AVP OBJECTIVE OF THE ROLE KEY RESPONSIBILITIES Should be able to multitask and manage various projects Should be able to evaluate business processes, anticipate requirements, uncover areas for improvement, and developing and implementing solutions. Should be able to communicate the documented business requirements with the technical team. Reviewing FSD prepared by IT and ensuring all client requirements are met Should be able to prepare and review manual test scenarios and test cases Should be able to liase with IT / vendors for their project deliveries/bugs etc. Leading UAT team for project closure ensuring that complete functional and regression testing is done before go live Ensuring smooth deployment and monitoring in production end ensuring post production signoff Maintaining project tracker INTERACTIONS Internal Relations New Business Team, Other Projects Team, IT Team External Relations IT vendors such as CTS, Hansa, Posidex REQUIRED QUALIFICATION AND SKILLS Educational Qualifications Graduate in Science / IT / Postgraduate in Science/ IT/ MBA Work Experience Should have atleast 5 years + work experience as project management preferably in the BFSI domain (Experience in Insurance domain would be added advantage) Certifications Testing certificate Other skill set Team management capability Should be aggressive and take responsibility of completing multiple projects within defined timelines Should have good oral and written communication skills Should be able to analyse all outcomes of a situation and take steps accordingly

SUMMARY Job Summary: Exciting job opportunity as a Registered Nurse in Qatar (Homecare) Key Responsibilities: Develop and assess nursing care plans Monitor vital signs and assess holistic patient needs Collaborate with physicians, staff nurses, and healthcare team members Administer oral and subcutaneous medications while ensuring safety Document nursing care, medications, and procedures using the company's Nurses Buddy application Conduct client assessment and reassessment using approved tools Attend refresher training courses, seminars, and training Timeline for Migration: Application to Selection: Not more than 5 days Data flow & Prometric: 1 month Visa processing: 1-2 months Start working in Qatar within 3 months! Requirements: Educational Qualification: Bachelor's Degree in Nursing or GNM Experience: Minimum 2 years working experience as a Nurse post registration Citizenship: Indian Age limit: 18 to 40 years Certification: registration Certification from Nursing Council Language: Basic English proficiency required Technical Skills: Bed side nursing, patient care, patient assessment and monitoring Benefits: High Salary & Perks: Earn 5000 QAR / month (1,18,000 INR/month) Tax Benefit: No tax deduction on salary Career Growth: Advanced Nursing career in Qatar with competitive salaries, cutting-edge facilities, and opportunities for specialization Relocation support: Visa process and flight sponsored. Free accommodation and transportation provided. International Work Experience: Boost your resume with International healthcare expertise. Comprehensive Health Insurance: Medical coverage for under Qatar’s healthcare system. Safe and stable environment: Qatar is known for its low crime rate, political stability, and high quality of life. The strict laws in the country, makes it one of safest place to live. Faster Visa Processing With efficient government procedures, work visas for nurses are processed quickly, reducing waiting times. Simplified Licensing Process Compared to other countries, Qatar offers a streamlined process for obtaining a nursing license through QCHP (Qatar Council for Healthcare Practitioners) . Direct Hiring Opportunities Many hospitals and healthcare facilities offer direct recruitment , minimizing third-party delays and complications. Limited slots available! Apply now to secure your place in the next batch of Nurses migrating to Qatar!

SUMMARY Job Summary: Exciting job opportunity as a Registered Nurse in Qatar (Homecare) Key Responsibilities: Develop and assess nursing care plans Monitor vital signs and assess holistic patient needs Collaborate with physicians, staff nurses, and healthcare team members Administer oral and subcutaneous medications while ensuring safety Document nursing care, medications, and procedures using the company's Nurses Buddy application Conduct client assessment and reassessment using approved tools Attend refresher training courses, seminars, and training Timeline for Migration: Application to Selection: Not more than 5 days Data flow & Prometric: 1 month Visa processing: 1-2 months Start working in Qatar within 3 months! Requirements: Educational Qualification: Bachelor's Degree in Nursing or GNM Experience: Minimum 2 years working experience as a Nurse post registration Citizenship: Indian Age limit: 18 to 40 years Certification: registration Certification from Nursing Council Language: Basic English proficiency required Technical Skills: Bed side nursing, patient care, patient assessment and monitoring Benefits: High Salary & Perks: Earn 5000 QAR / month (1,18,000 INR/month) Tax Benefit: No tax deduction on salary Career Growth: Advanced Nursing career in Qatar with competitive salaries, cutting-edge facilities, and opportunities for specialization Relocation support: Visa process and flight sponsored. Free accommodation and transportation provided. International Work Experience: Boost your resume with International healthcare expertise. Comprehensive Health Insurance: Medical coverage for under Qatar’s healthcare system. Safe and stable environment: Qatar is known for its low crime rate, political stability, and high quality of life. The strict laws in the country, makes it one of safest place to live. Faster Visa Processing With efficient government procedures, work visas for nurses are processed quickly, reducing waiting times. Simplified Licensing Process Compared to other countries, Qatar offers a streamlined process for obtaining a nursing license through QCHP (Qatar Council for Healthcare Practitioners) . Direct Hiring Opportunities Many hospitals and healthcare facilities offer direct recruitment , minimizing third-party delays and complications. Limited slots available! Apply now to secure your place in the next batch of Nurses migrating to Qatar!

Mandatory skill- Advance Python & SQL GCP Services- BigQuery, Dataflow, Dataproc and Pub/Sub. Key Responsibilities Design, develop and optimize scalable data pipelines and ETL workflows using Google Cloud Platform (GCP), particularly leveraging BigQuery, Dataflow, Dataproc and Pub/Sub. Design and manage secure, efficient data integrations involving Snowflake and BigQuery. Write, test and maintain high-quality Python code for data extraction, transformation and loading (ETL), analytics and automation tasks. Use Git for collaborative version control, code reviews and managing data engineering projects. Implement infrastructure-as-code practices using Pulumi for cloud resources management and automation within GCP environments. Apply clean room techniques to design and maintain secure data sharing environments in alignment with privacy standards and client requirements. Collaborate with cross-functional teams (data scientists, business analysts, product teams) to deliver data solutions, troubleshoot issues and assure data integrity throughout the lifecycle. Optimize performance of batch and streaming data pipelines, ensuring reliability and scalability. Maintain documentation on processes, data flows and configurations for operational transparency. ________________________________________ Required Skills Strong hands-on experience of 5+ years with GCP core data services: BigQuery, Dataflow, Dataproc and Pub/Sub. Proficiency in data engineering development using Python. Deep familiarity with Snowflakedata modeling, secure data sharing and advanced query optimization. Proven experience with Git for source code management and collaborative development. Demonstrated ability using Pulumi (or similar IaC tools) for deployment and support of cloud infrastructure. Practical understanding of cleanroom concepts in cloud data warehousing, including privacy/compliance considerations. Solid skills in debugging complex issues within data pipelines and cloud environments. Effective communication and documentation skills. ________________________________________ Great to Have GCP certification (e.g., Professional Data Engineer). Experience working in regulated environments (telecom/financial/healthcare) with data privacy and compliance focus. Exposure to additional GCP services such as Cloud Storage, Cloud Functions or Kubernetes. Demonstrated success collaborating in agile, distributed teams. Experience with data visualization tools (e.g., Tableau, Looker) is nice to have.