Job Description - AVP - Data Architect & Advisory (BFS034948) With a startup spirit and 115,000+ curious and courageous minds, we have the expertise to go deep with the world's biggest brands-and we have fun doing it. We dream in digital, dare in reality, and reinvent the ways companies work to make an impact far bigger than just our bottom line. We're harnessing the power of technology and humanity to create meaningful transformation that moves us forward in our pursuit of a world that works better for people. Now, we're calling upon the thinkers and doers, those with a natural curiosity and a hunger to keep learning, keep growing., People who thrive on fearlessly experimenting, seizing opportunities, and pushing boundaries to turn our vision into reality. And as you help us create a better world, we will help you build your own intellectual firepower. Welcome to the relentless pursuit of better. Inviting applications for the role of Assistant Vice President, Data Architect & Advisory! Responsibilities Extensive experience w.r.t. Data architecture, Consulting, Implementation of large-scale Enterprise-level Data Warehousing, Modernization of Data Platform , Business Intelligence, and Analytics applications. Should have led multiple engagements in the Data space in terms of Solutioning and Architecture and Delivery. DDesign and develop a scalable platform architecture that supports global deployment without the need for rebuilds, aligning with the 'Build Once & Activate Many' strategy. Work closely with stakeholders to ensure the platform architecture supports high-quality, personalized user experiences and content relevancy. Collaborate with the Digital Marketing team to integrate the Growth Assist Digital Marketing framework, enabling targeted, accelerated, and cost-effective global user acquisition. Partner with the AI and Managed Services teams to implement AI-enabled solutions for domain expertise, data management, and operational efficiencies. Act as a liaison between technical teams and strategic partners, ensuring the Impact Commercial Model is effectively integrated into the platform's growth strategy. Oversee the technical execution of 7 out of the 9 lots outlined in the RFP, ensuring comprehensive coverage across build, integration, testing, operations, domain expertise, marketing, and data insights. Stay abreast of emerging technologies and methodologies that could further enhance the platform's capabilities and user experience. Ability to interact with, report out and make recommendations to the executive level steering committee. Qualifications we seek in you! Minimum Qualifications Master or Bachelor's degree in Computer Science, Information Systems, Engineering, related fields Preferred Qualifications/ Skills Required technical skills • Strong Cloud exp on AWS or Azure or GCP • Ability to work on design exercise of Data Modernization platform. • Strong exp on DataBricks or Snowflake • Strong exp on designing data ingestion and data aggregation. • Exp of design data exchange through API's Streaming, batch and ETL process • Exp on Data Bricks and Anypoint API Gateway • Strong on Data Lake and storage design for structured and unstructured data. • Exp on Data Lineage , Data Dictionary and governance Soft Skills • Should have excellent client interaction and presentation skills • Excellent English communication both written and verbal • Excellent thought leadership is required. • Should be capable to be a Mentor in building teams and enhance technical skills for the team. • Should be extremely good at internal and external stakeholder management Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit . Follow us on Twitter , Facebook , LinkedIn , and YouTube . Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training .
Apr 27, 2024
Full time
Job Description - AVP - Data Architect & Advisory (BFS034948) With a startup spirit and 115,000+ curious and courageous minds, we have the expertise to go deep with the world's biggest brands-and we have fun doing it. We dream in digital, dare in reality, and reinvent the ways companies work to make an impact far bigger than just our bottom line. We're harnessing the power of technology and humanity to create meaningful transformation that moves us forward in our pursuit of a world that works better for people. Now, we're calling upon the thinkers and doers, those with a natural curiosity and a hunger to keep learning, keep growing., People who thrive on fearlessly experimenting, seizing opportunities, and pushing boundaries to turn our vision into reality. And as you help us create a better world, we will help you build your own intellectual firepower. Welcome to the relentless pursuit of better. Inviting applications for the role of Assistant Vice President, Data Architect & Advisory! Responsibilities Extensive experience w.r.t. Data architecture, Consulting, Implementation of large-scale Enterprise-level Data Warehousing, Modernization of Data Platform , Business Intelligence, and Analytics applications. Should have led multiple engagements in the Data space in terms of Solutioning and Architecture and Delivery. DDesign and develop a scalable platform architecture that supports global deployment without the need for rebuilds, aligning with the 'Build Once & Activate Many' strategy. Work closely with stakeholders to ensure the platform architecture supports high-quality, personalized user experiences and content relevancy. Collaborate with the Digital Marketing team to integrate the Growth Assist Digital Marketing framework, enabling targeted, accelerated, and cost-effective global user acquisition. Partner with the AI and Managed Services teams to implement AI-enabled solutions for domain expertise, data management, and operational efficiencies. Act as a liaison between technical teams and strategic partners, ensuring the Impact Commercial Model is effectively integrated into the platform's growth strategy. Oversee the technical execution of 7 out of the 9 lots outlined in the RFP, ensuring comprehensive coverage across build, integration, testing, operations, domain expertise, marketing, and data insights. Stay abreast of emerging technologies and methodologies that could further enhance the platform's capabilities and user experience. Ability to interact with, report out and make recommendations to the executive level steering committee. Qualifications we seek in you! Minimum Qualifications Master or Bachelor's degree in Computer Science, Information Systems, Engineering, related fields Preferred Qualifications/ Skills Required technical skills • Strong Cloud exp on AWS or Azure or GCP • Ability to work on design exercise of Data Modernization platform. • Strong exp on DataBricks or Snowflake • Strong exp on designing data ingestion and data aggregation. • Exp of design data exchange through API's Streaming, batch and ETL process • Exp on Data Bricks and Anypoint API Gateway • Strong on Data Lake and storage design for structured and unstructured data. • Exp on Data Lineage , Data Dictionary and governance Soft Skills • Should have excellent client interaction and presentation skills • Excellent English communication both written and verbal • Excellent thought leadership is required. • Should be capable to be a Mentor in building teams and enhance technical skills for the team. • Should be extremely good at internal and external stakeholder management Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit . Follow us on Twitter , Facebook , LinkedIn , and YouTube . Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training .
At NTT DATA are exceptional together and we believe in growing by helping others grow, clients and employees. We are constantly evolving, by creating more opportunities within our organisation and looking to innovative projects that shape your future. We provide all with the support you need to achieve the career of your dreams and we will give you the tools to become the best version of yourself you'd like to see. We are stronger by supporting people be who they want to be, work how they work best and envision the future through their own uniqueness. We provide a safe environment in which all of us can be ourselves and reach our full potential. This is a place where all individuals can be their true selves. Our success comes from our people, regardless of ethnicity, cultural background, gender, nationality, sexual orientation, or anything else that can be used to differentiate people because we are exceptional together. Because by supporting each other be who they want to be, work how they work best we bring innovation and we build more opportunities for everyone and a better future for our business, our people and our society. We understand you may not tick all the boxes of the requirements lists but if you are interested in this or other opportunities within NTT DATA, do not think twice and apply! As part of our continuous growth, we are looking for a NRT / Data Streaming Tech Lead to join our Data & Analytics team in London. We are looking for a hands-on tech lead/Architect to design, deliver, test, and troubleshoot complex data streaming implementations/NRT analytics. As a technical lead, you will work in partnership with our clients to deliver value, solve problems, and make a difference. You will be empowered to achieve your goals, and you will be involved in a wide array challenges and experiences giving you exposure to a variety of technologies, ensuring you always have the opportunity to learn and grow. Those who wish to benefit from long term career opportunities, within a prosperous Technology Consultancy environment, please get in touch. Develop solutions for streaming data ingestion, transformations and extraction in line with the streaming strategy. Experience working with streaming platforms, preferably Kafka Solid software engineering background with Java, Python or Scala You have experience designing large-scale data pipelines that utilise any stream-processing frameworks: Spark-Streaming, Kafka Streams, Flink Nice to have: Experience building and optimising big data pipelines, architectures, and data sets based on batch libraries (Spark, Flink,....) Experience with CI/CD tools. Build processes supporting data transformation, data structures, metadata, dependency and workload management. Working within the regulatory and system requirements to ensure data quality, data security, data compliance needs are met. Where you'll be: Our employees' safety is priority, so currently you will be working from the comfort of your own home most of the time. In the future when we can spend time in some more time of our offices, in Oxford Circus, Bank or Epworth House. As a result, you will be able to enjoy London's vibrant dynamics! .... And another thing, you will be joining a close-knit team that is supportive and approachable. Which means that as a new joiner, you will always have someone available to offer help and guidance. How to apply: We appreciate that you may not have an up to date CV, so please just send what you have and let's organise a chat!
Sep 21, 2022
Full time
At NTT DATA are exceptional together and we believe in growing by helping others grow, clients and employees. We are constantly evolving, by creating more opportunities within our organisation and looking to innovative projects that shape your future. We provide all with the support you need to achieve the career of your dreams and we will give you the tools to become the best version of yourself you'd like to see. We are stronger by supporting people be who they want to be, work how they work best and envision the future through their own uniqueness. We provide a safe environment in which all of us can be ourselves and reach our full potential. This is a place where all individuals can be their true selves. Our success comes from our people, regardless of ethnicity, cultural background, gender, nationality, sexual orientation, or anything else that can be used to differentiate people because we are exceptional together. Because by supporting each other be who they want to be, work how they work best we bring innovation and we build more opportunities for everyone and a better future for our business, our people and our society. We understand you may not tick all the boxes of the requirements lists but if you are interested in this or other opportunities within NTT DATA, do not think twice and apply! As part of our continuous growth, we are looking for a NRT / Data Streaming Tech Lead to join our Data & Analytics team in London. We are looking for a hands-on tech lead/Architect to design, deliver, test, and troubleshoot complex data streaming implementations/NRT analytics. As a technical lead, you will work in partnership with our clients to deliver value, solve problems, and make a difference. You will be empowered to achieve your goals, and you will be involved in a wide array challenges and experiences giving you exposure to a variety of technologies, ensuring you always have the opportunity to learn and grow. Those who wish to benefit from long term career opportunities, within a prosperous Technology Consultancy environment, please get in touch. Develop solutions for streaming data ingestion, transformations and extraction in line with the streaming strategy. Experience working with streaming platforms, preferably Kafka Solid software engineering background with Java, Python or Scala You have experience designing large-scale data pipelines that utilise any stream-processing frameworks: Spark-Streaming, Kafka Streams, Flink Nice to have: Experience building and optimising big data pipelines, architectures, and data sets based on batch libraries (Spark, Flink,....) Experience with CI/CD tools. Build processes supporting data transformation, data structures, metadata, dependency and workload management. Working within the regulatory and system requirements to ensure data quality, data security, data compliance needs are met. Where you'll be: Our employees' safety is priority, so currently you will be working from the comfort of your own home most of the time. In the future when we can spend time in some more time of our offices, in Oxford Circus, Bank or Epworth House. As a result, you will be able to enjoy London's vibrant dynamics! .... And another thing, you will be joining a close-knit team that is supportive and approachable. Which means that as a new joiner, you will always have someone available to offer help and guidance. How to apply: We appreciate that you may not have an up to date CV, so please just send what you have and let's organise a chat!
Data Engineer - Snowflake/AWS My client, a major UK bank, are seeking a Data Engineer to join to help drive value for their customers through modelling, sourcing, and data transformation. You'll be working closely with core technology and architecture teams to deliver strategic data solutions, while driving Agile and DevOps adoption in the delivery of data engineering. You will be working on a large platform transformation to the cloud moving to AWS and will have experience in most of the following areas - Solution designing, data modelling how data is structured when it lands in an environment. Ingestion pipeline/ETL solutions - Developing in Python (Pyspark, pandas) within a snowflake environment and plumbing into AWS (Watch tower etc.) SQL experience, shell scripting and Linux command line. Moving from Batch to streaming and how you hook this data up with other areas of business in real time when the request is made. Network Data(Graph) Alternative cloud environment (GCP,Azure etc.) Machine learning (experience within this area is highly desirable) Kafka - experience of using this platform handling real time data feeds. If this sounds like a good fit for you please click through to apply! IND_PC1 Carbon60, Lorien, SRG - the Impellam Group STEM Portfolio is acting as an Employment Business in relation to this vacancy.
Sep 21, 2022
Full time
Data Engineer - Snowflake/AWS My client, a major UK bank, are seeking a Data Engineer to join to help drive value for their customers through modelling, sourcing, and data transformation. You'll be working closely with core technology and architecture teams to deliver strategic data solutions, while driving Agile and DevOps adoption in the delivery of data engineering. You will be working on a large platform transformation to the cloud moving to AWS and will have experience in most of the following areas - Solution designing, data modelling how data is structured when it lands in an environment. Ingestion pipeline/ETL solutions - Developing in Python (Pyspark, pandas) within a snowflake environment and plumbing into AWS (Watch tower etc.) SQL experience, shell scripting and Linux command line. Moving from Batch to streaming and how you hook this data up with other areas of business in real time when the request is made. Network Data(Graph) Alternative cloud environment (GCP,Azure etc.) Machine learning (experience within this area is highly desirable) Kafka - experience of using this platform handling real time data feeds. If this sounds like a good fit for you please click through to apply! IND_PC1 Carbon60, Lorien, SRG - the Impellam Group STEM Portfolio is acting as an Employment Business in relation to this vacancy.
We are looking for a Azure Platform Engineer to join our Future Data Program. The role will be responsible for building new CI/CD and Devops architecture and optimized release process for both infrastructure and data pipelines. Data Ingestion and Storage including Azure Data Factory, Azure Databricks, Azure Data Lake, Kafka and Spark Streaming, Azure EventHub/IoT Hub, and Azure Stream Analytics Azure Monitoring, Key Vaults, Azure DevOps and CI/CD Working experience with Visual Studio, PowerShell Scripting, and ARM templates Knowledge of Lambda and Kappa architecture patterns Working experience on Azure Security Model. Understanding of Microsoft Identity and Access Management products such as Azure AD, ADFS, Azure AD Connect, Conditional Access, Azure AD Proxy, SAML and Active Directory Domain Services. Deployment orchestration and configuration management tools (Azure DevOps, Jenkins, Chef, Puppet, Terraform, Kubernetes). Knowledge of Microsoft Azure and 3rd party Security products such as, Checkpoint, Fortigate, Cisco ASA, Azure NSG, Azure WAF and Azure Security Centre Min 5+ years experience 2-3 large projects in the specified area of transformational projects experience
Sep 10, 2021
We are looking for a Azure Platform Engineer to join our Future Data Program. The role will be responsible for building new CI/CD and Devops architecture and optimized release process for both infrastructure and data pipelines. Data Ingestion and Storage including Azure Data Factory, Azure Databricks, Azure Data Lake, Kafka and Spark Streaming, Azure EventHub/IoT Hub, and Azure Stream Analytics Azure Monitoring, Key Vaults, Azure DevOps and CI/CD Working experience with Visual Studio, PowerShell Scripting, and ARM templates Knowledge of Lambda and Kappa architecture patterns Working experience on Azure Security Model. Understanding of Microsoft Identity and Access Management products such as Azure AD, ADFS, Azure AD Connect, Conditional Access, Azure AD Proxy, SAML and Active Directory Domain Services. Deployment orchestration and configuration management tools (Azure DevOps, Jenkins, Chef, Puppet, Terraform, Kubernetes). Knowledge of Microsoft Azure and 3rd party Security products such as, Checkpoint, Fortigate, Cisco ASA, Azure NSG, Azure WAF and Azure Security Centre Min 5+ years experience 2-3 large projects in the specified area of transformational projects experience
Lead Cloud Data Engineer: The role will be responsible for building new data pipelines and optimizing data flows using the Azure cloud stack. Ideal candidate will be an experience data pipeline builder and data wrangler who enjoys building data products from scratch. The data engineer will need to support Business Analyst's and Data Architect's with discovery and best practices. He/She must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. Skills Needed: Advance Azure knowledge and experience working and migrating data products from on-prem to Azure. Experience building and optimizing big data' data pipelines, architectures and data sets using Py-Spark. Experience building Real Time data pipelines using Event-hub, storage queues and Azure stream analysis. Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. Cloud Big Data Analytics in Azure Synapse Analytics, Azure Analysis Services Data Ingestion and Storage including Azure Data Factory, Azure Databricks, Azure Data Lake, Kafka and Spark Streaming, Azure EventHub/IoT Hub, and Azure Stream Analytics Experience with Bigdata Tools: Hadoop Spark, Kafka Experience with Stream processing systems: Spark-streaming, Kafka Experience with Object Oriented/object function Scripting languages: Python preferred. Understanding of Hadoop HDFS-Hive, Power BI and Basic Unix Scripting will be a bonus.
Sep 10, 2021
Lead Cloud Data Engineer: The role will be responsible for building new data pipelines and optimizing data flows using the Azure cloud stack. Ideal candidate will be an experience data pipeline builder and data wrangler who enjoys building data products from scratch. The data engineer will need to support Business Analyst's and Data Architect's with discovery and best practices. He/She must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. Skills Needed: Advance Azure knowledge and experience working and migrating data products from on-prem to Azure. Experience building and optimizing big data' data pipelines, architectures and data sets using Py-Spark. Experience building Real Time data pipelines using Event-hub, storage queues and Azure stream analysis. Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. Cloud Big Data Analytics in Azure Synapse Analytics, Azure Analysis Services Data Ingestion and Storage including Azure Data Factory, Azure Databricks, Azure Data Lake, Kafka and Spark Streaming, Azure EventHub/IoT Hub, and Azure Stream Analytics Experience with Bigdata Tools: Hadoop Spark, Kafka Experience with Stream processing systems: Spark-streaming, Kafka Experience with Object Oriented/object function Scripting languages: Python preferred. Understanding of Hadoop HDFS-Hive, Power BI and Basic Unix Scripting will be a bonus.