3 Etl Elt Jobs

As a Cloud Engineer at Google Cloud Consulting Professional Services, you will have the opportunity to work from your preferred location in Hyderabad, Telangana, India or Bengaluru, Karnataka, India. You will be part of a team that guides customers through pivotal moments in their cloud journey, leveraging Google's global network, web-scale data centers, and software infrastructure to drive business transformation and innovation. Your role will be integral in helping businesses of all sizes connect with customers, employees, and partners through technology. **Role Overview:** In this role, you will play a crucial part in ensuring strategic customers have a seamless experience transitioning to the Google Cloud GenAI and Agentic AI suite of products. You will be responsible for designing and implementing solutions tailored to customer use cases, utilizing core Google products. Additionally, you will collaborate with customers to identify opportunities for business transformation with GenAI, conducting workshops to educate and empower them in maximizing the potential of Google Cloud. Your access to Google's technology will enable you to monitor application performance, troubleshoot product issues, and address customer and partner needs promptly. Your leadership will be vital in facilitating the timely adoption of Google Cloud Platform solutions by customers. **Key Responsibilities:** - Deliver effective big data and GenAI solutions to address complex technical challenges faced by customers. - Serve as a trusted technical advisor to Google's strategic customers, offering expert guidance and support. - Identify new product features and gaps, provide insights on existing product challenges, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform. - Provide best practices recommendations, create tutorials, blog articles, and deliver technical presentations tailored to different levels of key business and technical stakeholders. **Qualifications Required:** - Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience. - Experience in building data and AI solutions, working with technical customers, and designing cloud enterprise solutions. - Proficiency in English to effectively support client relationship management in the region. **Preferred Qualifications:** - Experience working with Large Language Models, data pipelines, and data analytics techniques. - Familiarity with core Data ETL techniques and leveraging LLMs for deploying multimodal solutions. - Knowledge of data warehousing concepts, including technical architectures, ETL/ELT processes, and reporting/analytic tools (e.g., Apache Beam, Hadoop, Spark). - Understanding of cloud computing, virtualization, storage systems, and content delivery networks. By joining Google Cloud Consulting Professional Services, you will be part of a dynamic team that enables organizations worldwide to digitally transform their businesses with cutting-edge technology, sustainable solutions, and industry expertise. Customers in over 200 countries trust Google Cloud to drive growth and solve their most critical business challenges.,

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role Are you ready to embark on an exhilarating journey as a Data Consultant Join Kyndryl and become a driving force behind the transformative power of data! We're seeking an exceptionally talented individual to accelerate the competitive performance of our customers worldwide, establishing us as their unrivaled business and technology consulting partner. As Enterprise Consultant for Data and AI solutions you are expected to create a vision of the future by working with leadership to identify opportunities and translate them into functional and non-functional requirements. You should be and expert in Data Science/Model Lifecycle and deep expertise of managing data solutions. As an Architect in our Data and AI team,you will provide best-fit architectural solutions for one or more projects leveraging your architectural skills assist in defining scope and sizing of work and anchor Proof of Concept developments. You will provide solution architecture for the business problem, platform integration with third party services, designing and developing complex features for clients business needs. You will collaborate with some of the best talent in the industry to create and implement innovative solutions, participate in Pre-Sales and various pursuits focused on our clients business needs. You will also contribute in a variety of roles in thought leadership, mentorship, systems analysis, architecture, data management models, configuration, testing, debugging, and documentation. You will challenge your leading edge solutions, consultative and business skills through the diversity of work in multiple industry domains. Responsibilities: Handling RFP / RFI / Government Tender technical solution, detailed scope preparation, effort estimations and response drafting Excellent presentation skills is important Understand client needs, translate them into business solutions that can be implemented Responsible for architecture, design and development of scalable data engineering / AI solutions and standards for various business problems using cloud native services, or third party services on hyperscalers Take ownership of technical solutions from design and architecture perspective, ensure the right direction and propose resolution to potential Data science/Model related problems Delivering and presenting proofs of concept of key technology components to project stakeholders Working within an Agile delivery / DevOps methodology to deliver proof of concept and production implementation in iterative sprints. Design and develop model utilization benchmarks, metrics, and monitoring to measure and improve models. Detect model drift and alert - Prometheus, Grafana stack, Cloud native monitoring stack Research, design, implement and validate cutting-edge deployment methods across hybrid cloud scenarios Develop and maintain documentation of the Model flows and integrations, pipelines etc Evaluate and create PoVs around the performance aspects of DSML platforms and tools in the market against customer requirements Assist in driving improvements to the Data Engineering stack, with a focus on the digital experience for the user, as well as model performance & security to meet the needs of the business and customers, now & in the future Required Experience: Data Engineer with 15+ years of experience with following skills - Must have 5+ years of experience working with Data modernisation solutions, working experience with on-prem or in cloud AI, DWH solutions based on native and third party solutions based AWS, Azure, GCP, Databricks etc. Experience of handling RFP / RFI / Tender responses, proposal preparation Must have experience designing and architecting of data lake/warehouse projects using Paas and Saas - such as Snowflake, Databricks, Redshift, Synapse, BigQuery etc. or data warehouse/data lake implementations on-premise Must have good knowledge in designing data pipelines ETL/ELT, DS modules implementing complex stored Procedures and standard DWH and ETL concepts Experience in Data Migration from on-premise RDBMS to cloud data warehouses Good understanding of relational as well as NoSQL data stores, methods and approaches (star and snowflake, dimensional modelling) Hands-on experience in Python, PySpark, programming for data integration projects Support in providing resolution to an extensive range of complicated data pipeline related problems, proactively and as issues surface Who You Are Preferred Skills: Understanding of cloud network, security, data security and data access controls and design aspects AI and Data solutions on Hyperscalers such as Databricks, MS-Fabric, co-pilot, AWS redshift, GCP BigQuery, GCP Gemini etc Background Agentic AI, GenAI technologies will be added advantage Hands ON experience for planning and executing POC / MVP / Client projects engaging Data Modernization and AI use case developments Required Skills: .Bachelor's degree in Computer Science, Information Security, or a related field .Skilled in planning, organization, analytics, and problem-solving .Excellent communication and interpersonal skills to work collaboratively with clients and team members .Comfortable working with statistics Being You Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learningprograms give you access to the best learning in the industry to receive certifications, includingMicrosoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked How Did You Hear About Us during the application process, select Employee Referral and enter your contact's Kyndryl email address.

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role Are you ready to embark on an exhilarating journey as a Data Consultant Join Kyndryl and become a driving force behind the transformative power of data! We're seeking an exceptionally talented individual to accelerate the competitive performance of our customers worldwide, establishing us as their unrivaled business and technology consulting partner. As Enterprise Consultant for Data and AI solutions you are expected to create a vision of the future by working with leadership to identify opportunities and translate them into functional and non-functional requirements. You should be and expert in Data Science/Model Lifecycle and deep expertise of managing data solutions. As an Architect in our Data and AI team,you will provide best-fit architectural solutions for one or more projects leveraging your architectural skills assist in defining scope and sizing of work and anchor Proof of Concept developments. You will provide solution architecture for the business problem, platform integration with third party services, designing and developing complex features for clients business needs. You will collaborate with some of the best talent in the industry to create and implement innovative solutions, participate in Pre-Sales and various pursuits focused on our clients business needs. You will also contribute in a variety of roles in thought leadership, mentorship, systems analysis, architecture, data management models, configuration, testing, debugging, and documentation. You will challenge your leading edge solutions, consultative and business skills through the diversity of work in multiple industry domains. Responsibilities: Handling RFP / RFI / Government Tender technical solution, detailed scope preparation, effort estimations and response drafting Excellent presentation skills is important Understand client needs, translate them into business solutions that can be implemented Responsible for architecture, design and development of scalable data engineering / AI solutions and standards for various business problems using cloud native services, or third party services on hyperscalers Take ownership of technical solutions from design and architecture perspective, ensure the right direction and propose resolution to potential Data science/Model related problems Delivering and presenting proofs of concept of key technology components to project stakeholders Working within an Agile delivery / DevOps methodology to deliver proof of concept and production implementation in iterative sprints. Design and develop model utilization benchmarks, metrics, and monitoring to measure and improve models. Detect model drift and alert - Prometheus, Grafana stack, Cloud native monitoring stack Research, design, implement and validate cutting-edge deployment methods across hybrid cloud scenarios Develop and maintain documentation of the Model flows and integrations, pipelines etc Evaluate and create PoVs around the performance aspects of DSML platforms and tools in the market against customer requirements Assist in driving improvements to the Data Engineering stack, with a focus on the digital experience for the user, as well as model performance & security to meet the needs of the business and customers, now & in the future Required Experience: Data Engineer with 15+ years of experience with following skills - Must have 5+ years of experience working with Data modernisation solutions, working experience with on-prem or in cloud AI, DWH solutions based on native and third party solutions based AWS, Azure, GCP, Databricks etc. Experience of handling RFP / RFI / Tender responses, proposal preparation Must have experience designing and architecting of data lake/warehouse projects using Paas and Saas - such as Snowflake, Databricks, Redshift, Synapse, BigQuery etc. or data warehouse/data lake implementations on-premise Must have good knowledge in designing data pipelines ETL/ELT, DS modules implementing complex stored Procedures and standard DWH and ETL concepts Experience in Data Migration from on-premise RDBMS to cloud data warehouses Good understanding of relational as well as NoSQL data stores, methods and approaches (star and snowflake, dimensional modelling) Hands-on experience in Python, PySpark, programming for data integration projects Support in providing resolution to an extensive range of complicated data pipeline related problems, proactively and as issues surface Who You Are Preferred Skills: Understanding of cloud network, security, data security and data access controls and design aspects AI and Data solutions on Hyperscalers such as Databricks, MS-Fabric, co-pilot, AWS redshift, GCP BigQuery, GCP Gemini etc Background Agentic AI, GenAI technologies will be added advantage Hands ON experience for planning and executing POC / MVP / Client projects engaging Data Modernization and AI use case developments Required Skills: .Bachelor's degree in Computer Science, Information Security, or a related field .Skilled in planning, organization, analytics, and problem-solving .Excellent communication and interpersonal skills to work collaboratively with clients and team members .Comfortable working with statistics Being You Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learningprograms give you access to the best learning in the industry to receive certifications, includingMicrosoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked How Did You Hear About Us during the application process, select Employee Referral and enter your contact's Kyndryl email address.