• Convert analytics business requirements into technical requirements and implement projects through collaboration with IT, business, and analytics partners • Source data via batch and pipeline processes • Manage SDLC processes • Lead requirements gathering efforts • Mentor junior engineers • Build tables and views autonomously through an expert understanding of data and analytics concepts • Create code management and control, recommend SDLC modifications, and create test plans and validation controls • Own multiple code bases and define departmental source code and documentation principles • Address bugs and defects of any complexity

About us: Founded in 2011, Modus is a global, fully remote team of world-class technologists who thrive in a collaborative, innovative environment. We’re a digital product engineering partner for forward-thinking businesses. Our global teams work side-by-side with clients to design, build, and scale custom solutions that achieve real results and lasting change, partnering with industry leaders including AWS, GitHub, and Atlassian. We were fully remote before it was cool! Recognized as one of the Inc. 5000 Fastest Growing Private Companies for nine years and a top remote work company by FlexJobs, we have helped some of the world’s largest brands deliver powerful digital experiences. As an award-winning Atlassian partner with a world-class team, we help organizations innovate and solve complex challenges for Fortune 500 companies and beyond, we want to hear from you. Opportunity! The Customer Data Platform (CDP) Engineer will play a critical role within our client’s data engineering team, leading the design, implementation, and optimization of scalable data solutions. This position focuses on building robust data pipelines and curated data models within Snowflake, leveraging event-driven architectures and modern serverless infrastructure on Amazon Web Services, and enabling seamless integration with Salesforce Data Cloud. The role is responsible for ensuring high data quality, governance, and secure access, while supporting advanced analytics and activation use cases that drive business growth and strategic decision-making. The ideal candidate combines deep expertise in event-driven architectures, serverless integration patterns, and modern data engineering practices with strong analytical thinking and communication skills. This is a fully remote role with collaboration across distributed teams and daily overlap with the US Eastern Time Zone. Responsibilities: - Design, develop, and maintain scalable ELT/ETL pipelines that ingest, transform, and publish data into Snowflake from internal and external sources. - Partner with product, analytics, and application teams to translate CDP and data requirements into well-modeled data in Snowflake, using scalable and cost- efficient event-driven data pipelines. - Design secure data access patterns for internal platforms (RBAC, masking policies, row access policies) and support privacy/compliance needs (e.g., GDPR, CCPA) across the data platform. - Automate deployments and operational workflows using version control and CI/CD; maintain infrastructure as code and repeatable release processes for Snowflake objects. - Document Snowflake architectures, data flows, and operational runbooks; stay current on Snowflake capabilities (e.g., Snowpipe, Streams/Tasks, Dynamic Tables);and recommend enhancements to improve reliability and scalability. Requirements: - Bachelor’s or Master’s degree in computer science, Information Systems Engineering, or a related field. - 5+ years of professional experience in data engineering, with significant hands-on experience designing integrations with data warehousing and large databases (Snowflake preferred). - Strong SQL skills and experience building curated schemas, semantic layers, and reusable data models for analytics and activation use cases. - Proficiency with modern ELT/ETL and transformation patterns and tools (e.g., dbt or equivalent), including incremental processing and orchestration. - Experience integrating Snowflake with external systems using APIs, file-based ingestion, or streaming/event patterns; familiarity with common integration/middleware platforms is a plus. - Hands-on knowledge of cloud platforms (AWS, Azure, or GCP) as they relate to data storage, networking, security, and processing. - Solid understanding of data governance, security, privacy, and compliance standards (e.g., GDPR, CCPA). - Proven ability to analyze complex data sets and translate business requirements into technical solutions. - Excellent problem-solving, communication, and project management skills. Bonus points: - Snowflake certifications (e.g., SnowPro Core/Advanced) and/or cloud certifications (AWS, Azure, GCP) relevant to data engineering. - Familiarity with reverse ETL and activation patterns to operational systems (e.g., marketing platforms, CRM) as part of a CDP ecosystem. - Agile development experience and familiarity with DevOps practices (Git, CI/CD) for analytics engineering and database change management You’ll Love: - Building scalable data platforms that power AI and Machine Learning solutions - Working on high-impact, data-intensive systems with real-world scale - Collaborating closely with product and engineering teams to deliver meaningful outcomes - Raising the bar for data engineering best practices - Exploring modern cloud data tooling and continuously improving how data systems are built and maintained By joining our team, you’ll be part of a winning squad that plays to each other’s strengths and celebrates every success together. Apply now and show us you’ve got what it takes to take your consulting skills to the next level with Modus Create!

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS. ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. What You'll Do - Develop and apply advanced statistical models that help clients understand dynamic business issues. - Leverage analytic techniques to use data to guide client and ZS team decision-making. - Design custom analyses in R, Tableau, SAS, Visual Basic and Excel to investigate and inform client needs. - Synthesize and communicate results to clients and ZS teams through oral and written presentations. - Develop client relationships and serve as key point of contact on aspects of projects. - Provide client and ZS teams project status updates. - Create project deliverables and implement solutions. - Advance problem-solving skills and improve ZS's capabilities. - Guide and mentor Associates on teams. What You'll Bring - Bachelor's or master's degree required in any discipline with strong record of academic success in quantitative and analytic coursework such as operations research, applied mathematics, management science, data science, statistics, econometrics or engineering. - Up to 3 years of relevant post-collegiate job experience. - Fluency in English . - Knowledge of programming ( e.g., Java/Python/R) . - Exposure to tools/platforms ( e.g., Hadoop eco system and database systems) . - Demonstrated proficiency in a programming language or analytic tool such as R, SAS, Tableau, or VBA. - High motivation, good work ethic, maturity, and personal initiative. - Effective oral and written communication skills. - Empathy, adaptability, and emotional intelligence. - Strong attention to detail, with a quality-focused mindset. - Self-discipline for planning and organizing tasks. - Aptitude for, and enjoyment of, working in teams. - Client-first mentality - Intense work ethic - Collaborative spirit and problem-solving approach How you'll grow: - Cross-functional skills development & custom learning pathways - Milestone training programs aligned to career progression opportunities - Internal mobility paths that empower growth via s-curves, individual contribution and role expansions Perks & Benefits: At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well-being, financial future, time away, and professional development. With robust skills-building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you'll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in Japan , visit ZS Japan office locations | Where we work | ZS . Hybrid working model: We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying? At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems-the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive. If you're eager to grow, contribute, and bring your unique self to our work, we encourage you to apply. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To complete your application: Candidates must possess or be able to obtain work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com

Role Description Estamos a recrutar um(a) Analytics Engineer para integrar um contexto orientado a dados, com foco na construção de modelos analíticos robustos, escaláveis e orientados ao negócio. A função posiciona-se na interseção entre Data Engineering e Analytics, sendo crítica para transformar dados brutos em ativos estruturados, reutilizáveis e preparados para reporting, self-service analytics e iniciativas de Inteligência Artificial. O(a) profissional será responsável pelo desenho e manutenção da camada analítica, garantindo qualidade, consistência e performance dos dados, bem como alinhamento com as necessidades de negócio e evolução da arquitetura de dados. Responsibilities - Desenhar, construir e manter modelos de dados estruturados para suporte a analytics e reporting - Desenvolver queries SQL eficientes e escaláveis, transformando dados brutos em datasets prontos para consumo - Contribuir para a integração de IA nos workflows analíticos, estruturando dados e metadados para suporte a LLMs - Assegurar qualidade de dados, incluindo testes, validação e documentação da camada analítica - Trabalhar em proximidade com stakeholders para compreender necessidades e garantir que os modelos respondem às questões de negócio - Contribuir para a evolução da arquitetura de dados e práticas de analytics Qualifications - Forte domínio de SQL, com abordagem orientada a resolução de problemas através de dados - Experiência em modelação de dados para analytics - Capacidade de ligação entre construção técnica e impacto no negócio - Boa capacidade de comunicação e colaboração com diferentes equipas - Inglês fluente Technical Skills - Experiência com frameworks de transformação de dados, como dbt, SQLMesh ou similares - Experiência com data warehouses cloud, como Snowflake, BigQuery ou Redshift - Conhecimento de arquitetura de dados e funcionamento das diferentes camadas do data stack - Familiaridade com conceitos avançados como semantic layers, metrics layers e self-service analytics - Experiência ou exposição a modelação de dados para contextos de AI, ML ou LLMs Profile - Mentalidade orientada a dados e resolução de problemas - Capacidade de equilibrar performance, simplicidade e flexibilidade na modelação - Interesse genuíno em como os dados suportam decisões de negócio - Perfil colaborativo, com partilha de conhecimento e abertura à aprendizagem