Join SADA as a Contact Center AI Architect! Your Mission We are seeking a highly skilled and experienced Contact Center and Conversational AI Architect to join our team. The ideal candidate will possess over 10 years of experience in the field of Contact Center implementations, and more recently, Conversational AI, with substantial experience on at least one major cloud-based contact center platform, such as: Google Contact Center AI Platform Amazon Connect Genesys Cloud CX Nice CXone Five9 The Architect will play a critical role in designing, implementing, and deploying AI-powered contact center solutions for our clients. They will be responsible for providing technical leadership, mentoring team members, and ensuring the successful delivery of projects. Responsibilities: Solution Design and Architecture: Design and architect end-to-end CCAI solutions, including CCaaS implementations, conversational AI flows, and integrations with backend systems Hands-on Development: Lead and participate in the development of complex Conversational AI components, demonstrating hands-on expertise in building and deploying conversational AI solutions Pre-Sales Support: Collaborate with sales teams to provide technical expertise during pre-sales activities, including solution demonstrations, proposals, and technical workshops Team Leadership and Mentorship: Provide technical guidance and mentorship to junior engineers and developers, on best practices, and troubleshooting techniques fostering a culture of knowledge sharing and continuous improvement Stay Up-to-Date: Maintain up-to-date knowledge of the latest advancements in Google Contact Center AI, Conversational Agents (Dialogflow CX), and Vertex AI Generative AI features and capabilities. Required Qualifications: Over 10 years of experience in IT, serving clients across North America, Canada, and EMEA regions. Proven experience designing, building, and deploying contact center and conversational AI solutions. Strong understanding of contact center operations, and technologies. Excellent communication, presentation, and interpersonal skills. Preferred Qualifications: Familiarity with Agile development methodologies. Industry certifications in relevant technologies. Experience tuning applications for non-functional requirements, i.e., usability, maintainability, scalability, availability, security, portability, etc. Exposure to relational and NoSQL datastores Familiarity with frontend web technologies, particularly React or Angular Experience using cloud offerings and solutions (Google Cloud Platform, Microsoft Azure, or Amazon AWS) Pathway to Success Our singular goal is to provide customers the best possible experience in building, modernizing, and maintaining applications in Google Cloud Platform. Your success starts by positively impacting the direction of a dynamic practice with vision and passion. You will be measured quarterly by the breadth, magnitude and quality of your contributions, your ability to estimate accurately, customer feedback at the close of projects, how well you collaborate with your peers, and the consultative polish you bring to customer interactions. As you continue to execute successfully, we will build a customized development plan together that leads you through the engineering or management growth tracks. About SADA An Insight company Values: We built our core values on themes that internally compel us to deliver our best to our partners, our customers and to each other. Ensuring a diverse and inclusive workplace where we learn from each other is core to SADA's values. We welcome people of different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer. Hunger Heart Harmony Work with the best: SADA has been the largest Google Cloud partner in North America since 2016 and, for the eighth year in a row, has been named a Google Global Partner of the Year. Business Performance: SADA has been named to the INC 5000 Fastest-Growing Private Companies list for 15 years in a row, garnering Honoree status. CRN has also named SADA on the Top 500 Global Solutions Providers list for the past 5 years. The overall culture continues to evolve with engineering at its core: 3200+ projects completed, 4000+ customers served, 10K+ workloads and 30M+ users migrated to the cloud. SADA India is committed to the safety of its employees and recommends that new hires receive a COVID vaccination before beginning work . Show more Show less

Join SADA, an Insight company as a Senior AI Engineer! Your Mission We're seeking a highly skilled and visionary Senior AI Engineer to pioneer and lead our AI initiatives, establishing a robust AI foundation across our organization. As the go-to expert, you'll be critical in architecting and implementing advanced AI-driven solutions, leveraging platforms like CCAIP , Vertex AI , and Generative AI to influence product roadmaps and drive innovation. This role focuses significantly on designing, implementing, and deploying sophisticated AI-powered solutions for Contact Centers (CCAI) for our clients, alongside building robust data solutions . You'll also provide essential technical leadership and mentorship to ensure the successful delivery of projects. Responsibilities: Solution Design & Architecture: Lead the technical design and architecture of complex AI/ML solutions, including intricate conversational AI flows. This involves deeply leveraging the Google Cloud Platform (GCP) to architect solutions within Dialogflow CX, integrating with other GCP services, and designing robust data solutions using BigQuery and other relevant tools. Provide deep technical guidance specific to the CCAI ecosystem and ensure architectural alignment with Google Cloud best practices. Hands-on Development & Deployment: Drive hands-on development and deployment of complex AI components, including advanced Conversational AI components on Google CCAI. Expertly utilize Dialogflow CX, Vertex AI (including generative AI capabilities), and GCP compute services for custom integrations. Generative AI & LLMs: Implement and integrate generative AI models and Large Language Models (LLMs), including custom development and deployment, for enhanced conversational experiences and broader AI applications. Explore multimodal use cases involving audio, video, or images. CCAI Platform Management: Lead significant projects such as Dialogflow ES to CX migrations, ensuring seamless transition and optimization of conversational agents. Integrate AI solutions with various CCaaS (Contact Center as a Service) platforms like UJET/CCAIP. Data Solutions: Architect and implement robust data pipelines and solutions using BigQuery and other relevant tools for AI model training, inference, and analytics, particularly for conversational data. Technical Leadership & Mentorship: Provide deep technical guidance and mentorship to junior engineers and developers in their areas of expertise, sharing best practices and troubleshooting techniques, and fostering a culture of knowledge sharing and continuous improvement. Pre-Sales Support Contribution: Collaborate as a lead technical expert in strategic pre-sales engagements for Google CCAI, delivering expert solution demonstrations, crafting compelling technical proposals, and conducting in-depth workshops to address complex client needs. Innovation & Research: Proactively research and evaluate the latest advancements in AI/ML, generative AI, LLMs, and particularly Google CCAI, Dialogflow CX, and Vertex AI Gen AI, to identify opportunities for solution enhancement and team knowledge sharing. Pathway to Success Our singular goal is to provide customers the best possible experience in building, modernizing, and maintaining applications in Google Cloud Platform. Your success starts by positively impacting the direction of a dynamic practice with vision and passion. You will be measured quarterly by the breadth, magnitude and quality of your contributions, your ability to estimate accurately, customer feedback at the close of projects, how well you collaborate with your peers, and the consultative polish you bring to customer interactions. As you continue to execute successfully, we will build a customized development plan together that leads you through the engineering or management growth tracks. Required Qualifications: 5+ years of experience in IT, with proven experience contributing to the design, building, and deployment of enterprise-grade AI/ML solutions, including a significant focus on contact center and conversational AI solutions. Strong understanding of AI/ML principles, natural language processing (NLP), machine learning algorithms, and deep learning architectures. Expert-level hands-on experience with Google Cloud Platform (GCP) , particularly services such as: Dialogflow CX (advanced proficiency is a must) Vertex AI (especially generative AI features, custom model deployment, Vertex AI Search) BigQuery Cloud Functions or similar serverless compute Experience with Google CCAI services and ecosystem. Hands-on experience deploying and using 3rd-party LLMs. Familiarity with AI Applications like agent builder, agent space, concepts of datastore, fine tuning (Connectors, Controls, ACLs, etc.). Strong understanding of contact center operations and technologies. Excellent communication, presentation, and interpersonal skills, with the ability to articulate complex technical concepts to diverse audiences (both technical and non-technical). Preferred Qualifications: Familiarity with Agile development methodologies. Industry certifications in relevant technologies (e.g., Google Cloud Professional Machine Learning Engineer). Experience tuning applications for non-functional requirements, i.e., usability, maintainability, scalability, availability, security, portability, etc. Exposure to relational and NoSQL datastores. Experience with API design and development (RESTful, gRPC) and strong familiarity with relevant programming languages for AI/ML development (e.g., Python). Familiarity with frontend web technologies, particularly React or Angular, for building user interfaces that integrate with AI solutions. Experience with other cloud offerings and solutions (e.g., AWS Lex, SageMaker, Lambda, or Azure Bot Service, Machine Learning). Good to have experience in: Agent Assist ML: Data Ingestion, Exploration, Transformation, and Validation ML: Model Development Frameworks ML: Specialized Modeling Areas ML: Evaluation and Monitoring About SADA An Insight company Values: We built our core values on themes that internally compel us to deliver our best to our partners, our customers and to each other. Ensuring a diverse and inclusive workplace where we learn from each other is core to SADA's values. We welcome people of different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer. Hunger Heart Harmony Work with the best: SADA has been the largest Google Cloud partner in North America since 2016 and, for the eighth year in a row, has been named a Google Global Partner of the Year. Business Performance: SADA has been named to the INC 5000 Fastest-Growing Private Companies list for 15 years in a row, garnering Honoree status. CRN has also named SADA on the Top 500 Global Solutions Providers list for the past 5 years. The overall culture continues to evolve with engineering at its core: 3200+ projects completed, 4000+ customers served, 10K+ workloads and 30M+ users migrated to the cloud. SADA India is committed to the safety of its employees and recommends that new hires receive a COVID vaccination before beginning work . Show more Show less

Join SADA, an Insight Company as a Enterprise Cloud Architect, Infrastructure! Your Mission As a Enterprise Cloud Architect at SADA, with a specialization in Infrastructure, Networking and Security, you will have significant knowledge and experience with "everything cloud infrastructure related." You will have held different roles throughout your extensive career enabling you to work with many different technologies and industries. As part of your role, you will collaborate with various teams, including customers, engineering, sales, and Googlers. You will oversee GCP Infrastructure projects for large and intricate client engagements, sometimes acting as our "account CTO." You'll run discovery calls, workshops, etc to work with customers, Google and Sada. You'll provide estimations and work on Statements of Work (SOW) and supporting material. You will design world-class hybrid-multi-cloud solutions and solve hard problems. You will have a hands-on approach, researching and presenting solutions, conducting experiments, and building prototypes to validate ideas and demonstrate the effectiveness of the solutions you recommend. You will also spearhead the implementation of projects and lead other engineers to deliver on your vision. SADA is a services-focused company and you will have the opportunity to support customers spanning every industry--including gaming, logistics, financial, healthcare, retail, and SaaS--each with different use cases and objectives. You will obtain a breadth of skills and experience unparalleled at other companies. What you would be doing on a daily basis: Work on different types of projects in various stages of development, including pre-sales/scoping, discovery, and architecting solutions Oversee executing projects that could be greenfield GCP landing zone implementations, public cloud re-platforming to GCP, migrations of data centers, or optimizing existing Infrastructure Prototype Proof of Concepts for customer/team feedback Assess existing and design new secure cloud architectures Design and implement advanced security controls in collaboration with customers Quality-Review solutions delivered by other engineers on the project Deliver hands-on technical mentoring and leadership to engineers on the project, especially when using niche architectural patterns. Keep the communication channels with the client transparent to update on progress, gather feedback, and evaluate opportunities. Assist the Project Managers and Clients in making high-impact decisions to improve the quality/time-to-market delivery where relevant. Stay current with leading-edge cloud security technologies, products, and best practices Pathway to Success Your super-power will be in helping customers understand specifically how Google Cloud technology can fundamentally solve their business challenges with technology, enabling them to meet their goals. You will inspire cross-functional leadership from our engineering teams. You will be trusted to guide large enterprise engagements and given the freedom to build new solutions that meet customer needs. You will establish yourself as a renowned specialist within SADA, earning a reputation with customers and the Google Cloud sales and professional services teams for your wide-ranging domain knowledge. Other engineers and architects will routinely defer to your expertise when it comes to the delivery of secure project architectures. In your role, you'll manage client-oriented technical conversations. Collaborating with client architects and technology heads, you will design expansive and extended client initiatives. Success will be measured by Client satisfaction, deals won, and your contributions to the team's goals. Expectations Required Travel - Up to 25% travel to customer sites, conferences, and other related events. Customer Facing - This is a customer-facing role. You will interact with customers on a daily basis. You will participate in calls and customer meetings to qualify for consultative engagements with engineering and business teams. You will present solutions, architectures, SOWs, demos, and other technical materials to build trust and confidence in SADA's ability to take the customer through their cloud adoption. Onboarding/Training - The first several weeks of onboarding are dedicated to learning and will encompass learning materials/assignments, compliance training, and meetings with relevant individuals. Details of the timeline are shared closer to the start date. Job Requirements Required Credentials: Bachelor's or Master's degree in Computer Science, Software Engineering or Information Technology, or 10+ years of relevant work experience architecting and operating cloud services. Google Professional Cloud Architect Certified and/or Google Professional Cloud Security Engineer Certified, or able to complete one of the above within the first 45 days of employment. Required Qualifications: Demonstrated experience designing highly available, secure, fault-tolerant, and scalable cloud architectures for enterprise clients and managing them in production. At least one of the following: Deep understanding of networking concepts, security best practices, and compliance requirements within cloud environments. Deep knowledge of cloud-native architectures, service meshes, containerization, and Kubernetes. Deep understanding of security products and the principles of zero trust architecture, especially BeyondCorp Enterprise Experience architecting and implementing API management solutions, with specific expertise in Google Cloud's Apigee platform, including API design, security, governance, and lifecycle management. Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible. Experience in leading intricate, long-term customer projects. Examples may include transitioning from one cloud to another or migrating an enterprise data center to the cloud. Experience providing leadership, supervision, and direction in data-oriented projects, ideally in a high-growth organization. Technical mastery of networking, VPNs, compute infrastructure (servers, databases, firewalls, load balancers, etc), and architecting/developing/maintaining production-grade systems in virtualized environments. Applied experience migrating complex, multi-tiered workloads from on-prem to the cloud, including provisioning the target infrastructure and executing cutover plans that minimize system downtime. Experience facilitating technical design sessions, architecting and documenting infrastructure/networking/security solutions aligned with client business objectives, and identifying gaps between the client's current and desired end states. Applied experience delivering continuous integration/continuous delivery pipelines, utilizing techniques like blue/green and canary deployments, with tools such as Jenkins, CircleCI, TravisCI, and Spinnaker. Working knowledge of systems monitoring, capacity planning, and performance tuning. Experience writing software in one or more languages such as Go and Python Ability to evaluate and select suitable technologies and frameworks to meet specific project needs, while assessing risks and trade-offs. Ability to architect, scope, and prioritize work based on feedback from the customer or internal teams. Experience working with customers in a consulting capacity, including persuading them to adopt more efficient technologies and processes. Excellent written and verbal communication skills, with the ability to communicate technical concepts to technical and non-technical stakeholders. Time management skills with the ability to manage multiple streams. Enthusiasm for learning new technologies, industry trends, and best practices in data architecture and cloud computing. Ability to quickly adapt to changing business requirements and technologies in a fast-paced environment delivering real-time data applications using streaming data technologies like Apache Kafka, Google Cloud Pub/Sub, or Amazon Kinesis. Experience using Google Cloud Platform, particularly GKE, Cloud Run, Anthos, and VPC, Load Balancers, Compute Engine. Bonus Qualifications: Familiarity with VMware, Google Compute VMware Engine. Experience with cloud data offerings and solutions (Microsoft Azure, Amazon AWS). About SADA An Insight company Values: We built our core values on themes that internally compel us to deliver our best to our partners, our customers and to each other. Ensuring a diverse and inclusive workplace where we learn from each other is core to SADA's values. We welcome people of different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer. Hunger Heart Harmony Work with the best: SADA has been the largest Google Cloud partner in North America since 2016 and, for the eighth year in a row, has been named a Google Global Partner of the Year. Business Performance: SADA has been named to the INC 5000 Fastest-Growing Private Companies list for 15 years in a row, garnering Honoree status. CRN has also named SADA on the Top 500 Global Solutions Providers list for the past 5 years. The overall culture continues to evolve with engineering at its core: 3200+ projects completed, 4000+ customers served, 10K+ workloads and 30M+ users migrated to the cloud. SADA India is committed to the safety of its employees and recommends that new hires receive a COVID vaccination before beginning work . Show more Show less

Join SADA, An Insight company as a Senior Cloud platform Engineer ! Your Mission As a Senior Cloud Platform Engineer, you will work collaboratively to deliver high quality infrastructure projects on Google Cloud Platform for our cloud and hybrid-cloud customers. You will have an opportunity to work on real-world problems facing our customers in the field. Engagements vary from being purely consultative to requiring heavy hands-on work, and cover a range of domain areas, such as workload migrations from on-premises or other Clouds to GCP, standing up production ready infrastructure on GCP, building hybrid-cloud solutions leveraging infrastructure-as-code automation, and developing fully automated CI/CD pipelines. Moreover, you will be someone who will drive thought leadership, delivering best practice recommendations for internal and external solutions. You possess a diverse background in areas such as architecture design, distributed systems, infrastructure migration, and deployment strategies. To be successful, one must know how to navigate ambiguity, have extensive experience working with cloud technologies, have technical depth, and enjoy working with customers. In this role, you will: Be expected to tackle all technical challenges on whole projects and to mentor less experienced Cloud Infrastructure Engineers. You should be able to work independently, but should be a major participant in team reviews. Be recognized as having technical mastery within the practice with an established reputation with Google and our customers. Have demonstrable experience with public facing activities such as blogs, presentations, webinars, and OSS contributions. Ensure the best architecture and engineering approach is applied. You will be expected to repeatedly deliver complex projects, and will be the owner of the complete customer outcome, including complex technical components of the engagement. Participate in early-stage opportunity qualification calls, as well as lead client-facing technical discussions for established projects. Pathway to Success Our singular goal is to provide customers with the best possible experience in migrating, building, modernizing, and operationalizing their systems in Google Cloud Platform. Your success starts by positively impacting the direction of a dynamic practice with vision and passion. You will be measured quarterly by the breadth, magnitude, and quality of your contributions, your ability to estimate accurately, customer feedback at the close of projects, how well you collaborate with your peers, and the consultative polish you bring to customer interactions. As you continue to execute successfully, we will build a customized development plan together that leads you through the engineering or management growth tracks. Expectations Required Travel: 10% travel to customer sites, conferences, and other related events. Customer Facing: You will interact with customers on a regular basis, sometimes daily, other times weekly/bi-weekly. Common touch points occur when qualifying potential opportunities, at project kickoff, throughout the engagement as progress is communicated, and at project close. You can expect to interact with a range of customer stakeholders, including engineers, technical project managers, and executives. Onboarding/Training - The first several weeks of onboarding are dedicated to learning and will encompass learning materials/assignments and compliance training, as well as meetings with relevant individuals. Details of the timeline are shared closer to the start date. Job Requirements Required Credentials Google Cloud Architect Certified or able to complete within the first 45 days of employment. A secondary Google Cloud certification in any other specialization. Expert or Professional level certifications in either or both AWS and Azure. Required Qualifications: 5+ years of relevant experience in deploying, migrating, configuring and managing applications on any of the public clouds. Technical mastery of networking, VPNs, compute infrastructure (servers, databases, firewalls, load balancers, etc), and architecting/developing/maintaining production-grade systems in virtualized environments. Applied experience migrating complex, multi-tiered workloads from on-prem to the cloud, including provisioning the target infrastructure and executing cutover plans that minimize system downtime. Applied experience delivering immutable infrastructure-as-code solutions using tools like Terraform, Ansible, Chef, Puppet, Salt, and Packer. Applied experience delivering continuous integration/continuous delivery pipelines, utilizing techniques like blue/green and canary deployments, with tools such as Jenkins, CircleCI, TravisCI, and Spinnaker. Working knowledge of systems monitoring, capacity planning, and performance tuning. Experience writing software in one or more languages such as Go and Python Useful Qualifications Knowledge and understanding of industry trends and new technologies and the ability to apply trends to architectural needs. Proven experience and understanding of architecture principles across infrastructure platforms, security, data, integration, and application layers. Experience working with containerization technologies (Kubernetes, Docker, etc) Experience being an administrator on a variety of Linux distributions. Experience with information security practices and procedures Strong working knowledge of VMware, KVM, Xen, Hyper-V, or other virtualization software About SADA An Insight company Values: We built our core values on themes that internally compel us to deliver our best to our partners, our customers and to each other. Ensuring a diverse and inclusive workplace where we learn from each other is core to SADA's values. We welcome people of different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer. Hunger Heart Harmony Work with the best: SADA has been the largest Google Cloud partner in North America since 2016 and, for the eighth year in a row, has been named a Google Global Partner of the Year. Business Performance: SADA has been named to the INC 5000 Fastest-Growing Private Companies list for 15 years in a row, garnering Honoree status. CRN has also named SADA on the Top 500 Global Solutions Providers list for the past 5 years. The overall culture continues to evolve with engineering at its core: 3200+ projects completed, 4000+ customers served, 10K+ workloads and 30M+ users migrated to the cloud. SADA India is committed to the safety of its employees and recommends that new hires receive a COVID vaccination before beginning work . Show more Show less

Join SADA as a Senior Data Engineer (ESS)! Your Mission As a Sr Data Engineer at SADA, you will ensure our customers' support issues are handled effectively. You will work with highly skilled support engineers focused on providing Google Cloud Platform Data Engineering solutions, including BigQuery, Cloud SQL, Google Cloud Monitoring, and related Google services. The Data Engineer is responsible for providing technical assistance and guidance to team members and customers, updating knowledge articles, and enacting improvements to our ServiceNow incident management system, as well as being a SADA ambassador to our clients. Participating in on-call rotations, the Data Engineer must also be technically adept with Google products and be able to seamlessly and effectively partner with other SADA work groups, our partners, and our customers. SADA ESS delivers 24x7 support from a variety of locations around the world. This is primarily a customer-facing role. You will also work closely with SADA's Customer Experience team to execute on their recommendations to our customers. Pathway to Success Our motivation is to provide customers with an exceptional experience in migrating, developing, modernizing, and operationalizing their systems in Google Cloud Platform. Your success starts by positively impacting the direction of a fast-growing practice with vision and passion. You will be measured bi-yearly by the breadth, magnitude, and quality of your contributions, your ability to estimate accurately, customer feedback at the close of projects, how well you collaborate with your peers, and the consultative polish you bring to customer interactions. As you continue to execute successfully, we will build a customized development plan together that leads you through the engineering or management growth tracks. Expectations Required Travel - 10% travel to customer sites, conferences, and other related events. Customer Facing - You will interact with customers on a regular basis, sometimes daily, other times weekly/bi-weekly. Onboarding/Training - Ongoing with first-week orientation followed by a 90-day onboarding schedule. Details of the timeline can be shared. Job Requirements Required Credentials: Google Professional Data Engineer Certified or able to complete within the first 45 days of employment A secondary Google Cloud certification in any other specialization Required Qualifications: 5+ years of experience writing software in at least two or more languages such as Python, Java, Scala, or Go Experience in supporting customers preferably in 24/7 environments Experience in building production-grade data solutions (relational and NoSQL) Experience with systems monitoring/alerting, capacity planning, and performance tuning Experience with BI tools like Tableau, Looker etc will be an advantage Consultative mindset that delights the customer by building good rapport with them to fully understand their requirements and provide accurate solutions Exposure to at least one of the following: Google Cloud DataFlow: building batch/streaming ETL pipelines with frameworks such as Apache Beam or Google Cloud DataFlow and working with messaging systems like Pub/Sub, Kafka and RabbitMQ; Auto scaling DataFlow clusters, troubleshooting cluster operation issues Data Integration Tools such as Fivetran, Striim, Data Fusion, etc. Must have hands-on experience configuring and integrating with multiple Data Sources within and outside of Google Cloud Support Large Enterprise Migration: migrating entire cloud or on-prem assets to Google Cloud including Data Lakes, Data Warehouses, Databases, Business Intelligence, Jobs, etc. Provide consultations for optimizing cost, defining methodology, and coming up with a plan to execute the migration. Useful Qualifications: Experience working with Google Cloud data products (CloudSQL, Spanner, Cloud Storage, Pub/Sub, Dataflow, Dataproc, Bigtable, BigQuery, Dataprep, Composer, etc) Experience with IoT architectures and building real-time data streaming pipelines Experience operationalizing Language Models and machine learning models on large datasets Demonstrated leadership and self-direction -- willingness to teach others and learn new techniques Demonstrated skills in selecting the right statistical tools given a data analysis problem Understanding of Chaos Engineering Understanding of PCI, SOC2, and HIPAA compliance standards Understanding of principle of least privilege and security best practices Understanding of cryptocurrency and blockchain technology About SADA An Insight company Values: We built our core values on themes that internally compel us to deliver our best to our partners, our customers and to each other. Ensuring a diverse and inclusive workplace where we learn from each other is core to SADA's values. We welcome people of different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer. Hunger Heart Harmony Work with the best: SADA has been the largest Google Cloud partner in North America since 2016 and, for the eighth year in a row, has been named a Google Global Partner of the Year. Business Performance: SADA has been named to the INC 5000 Fastest-Growing Private Companies list for 15 years in a row, garnering Honoree status. CRN has also named SADA on the Top 500 Global Solutions Providers list for the past 5 years. The overall culture continues to evolve with engineering at its core: 3200+ projects completed, 4000+ customers served, 10K+ workloads and 30M+ users migrated to the cloud. SADA India is committed to the safety of its employees and recommends that new hires receive a COVID vaccination before beginning work .

Join SADA as a Data Engineer (ESS)! Your Mission As a Data Engineer at SADA, you will ensure our customers' support issues are handled effectively. You will work with highly skilled support engineers focused on providing Google Cloud Platform Data Engineering solutions, including BigQuery, Cloud SQL, Google Cloud Monitoring, and related Google services. The Data Engineer is responsible for providing technical assistance and guidance to team members and customers, updating knowledge articles, and enacting improvements to our ServiceNow incident management system, as well as being a SADA ambassador to our clients. Participating in on-call rotations, the Data Engineer must also be technically adept with Google products and be able to seamlessly and effectively partner with other SADA work groups, our partners, and our customers. SADA ESS delivers 24x7 support from a variety of locations around the world. This is primarily a customer-facing role. You will also work closely with SADA's Customer Experience team to execute on their recommendations to our customers. Pathway to Success Our motivation is to provide customers with an exceptional experience in migrating, developing, modernizing, and operationalizing their systems in Google Cloud Platform. Your success starts by positively impacting the direction of a fast-growing practice with vision and passion. You will be measured yearly by the breadth, magnitude, and quality of your contributions, your ability to estimate accurately, customer feedback at the close of projects, how well you collaborate with your peers, and the consultative polish you bring to customer interactions. As you continue to execute successfully, we will build a customized development plan together that leads you through the engineering or management growth tracks. Expectations Required Travel - 10% travel to customer sites, conferences, and other related events. Customer Facing - You will interact with customers on a regular basis, sometimes daily, other times weekly/bi-weekly. Onboarding/Training - Ongoing with first-week orientation followed by a 90-day onboarding schedule. Details of the timeline can be shared. Job Requirements Required Credentials: Google Professional Data Engineer Certified or able to complete within the first 45 days of employment A secondary Google Cloud certification in any other specialization Required Qualifications: 3+ years of experience writing software in at least two or more languages such as SQL, Python, Java, Scala, or Go Experience in supporting customers preferably in 24/7 environments Experience with systems monitoring/alerting, capacity planning, and performance tuning Experience with BI tools like Tableau, Looker etc will be an advantage Experience working with Google Support. Consultative mindset that delights the customer by building good rapport with them to fully understand their issues / requirements and provide accurate solutions Useful Qualifications: Experience working with Google Cloud data products (CloudSQL, Spanner, Cloud Storage, Pub/Sub, Dataflow, Dataproc, Bigtable, BigQuery, Dataprep, Composer, etc) Experience with IoT architectures and building real-time data streaming pipelines Experience operationalizing machine learning models on large datasets Demonstrated leadership and self-direction -- willingness to teach others and learn new techniques Understanding of principle of least privilege and security best practices Understanding of cryptocurrency and blockchain technology About SADA An Insight company Values: We built our core values on themes that internally compel us to deliver our best to our partners, our customers and to each other. Ensuring a diverse and inclusive workplace where we learn from each other is core to SADA's values. We welcome people of different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer. Hunger Heart Harmony Work with the best: SADA has been the largest Google Cloud partner in North America since 2016 and, for the eighth year in a row, has been named a Google Global Partner of the Year. Business Performance: SADA has been named to the INC 5000 Fastest-Growing Private Companies list for 15 years in a row, garnering Honoree status. CRN has also named SADA on the Top 500 Global Solutions Providers list for the past 5 years. The overall culture continues to evolve with engineering at its core: 3200+ projects completed, 4000+ customers served, 10K+ workloads and 30M+ users migrated to the cloud. SADA India is committed to the safety of its employees and recommends that new hires receive a COVID vaccination before beginning work .